Research in Ultrasound Imaging
Table of Content
Contact Person and Group Coordination
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Christoph Hennersperger |
Nassir Navab |
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Research Projects in Ultrasound Imaging
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patient-Specific Translational research on Atherosclerosis and Diagnosis (STAnD) |
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Advanced Robotics for Multi-Modal Interventional Imaging (RoBildOR)This project aims at developing advanced methods for robotic image acquisitions, enabling more flexible, patient- and process-specific functional and anatomical imaging with the operating theater. Using robotic manipulations, co-registered and dynamic imaging can be provided to the surgeon, allowing for optimal implementation of preoperative planning. In particular, this projects is the first one developing concepts for intraoperative SPECT-CT, and introduces intraoperative robotic Ultrasound imaging based on CT trajectory planning, enabling registration with angiographic data. With distinguished partners from Bavarian industry, this project has a fundamental contribution in developing safe, reliable, flexible, and multi-modal imaging technologies for the operating room of the future. |
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SUPRA: Software Defined Ultrasound Processing for Real-Time ApplicationsSUPRA is an open-source pipeline for fully software defined ultrasound processing for real-time applications. Covering everything from beamforming to output of B-Mode images, SUPRA can help to improve the reproducibility of results and does allow for a full customization of the image acquisition workflow. Including all processing stages of a common ultrasound pipeline, it can be executed in 2D and 3D on consumer GPUs in real-time. Even on hardware as small as the CUDA enabled Jetson TX2, SUPRA allows for 2D imaging in real-time. You can access the code on our github page: https://github.com/IFL-CAMP/supra Additional information can be found in our work on SUPRAGöbl, R. and Navab, N. and Hennersperger, C., SUPRA: Open Source Software Defined Ultrasound Processing for Real-Time Applications, eprint arXiv:1711.06127, Nov 2017, under review for IPCAI2018The development of SUPRA was partly funded by the European Horizon 2020 Project EDEN2020. |
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Ultrasound-Based Brainshift Estimation and CorrectionIn the context of intraoperative navigation for neurosurgery, brainshift still represents one of the main challenges. After skull and dura mater opening, brain tissue undergoes dynamic spatial modification due to gravity, loss of Cerebrospinal fluid and resection of tissue. The goal of this project is the utilization of intra-cranial 3D freehand ultrasound in order to directly estimate ocurring brain-shift and allow for a subsequent correction for it within available neur-navigation systems used for guidance in the operating room. |
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EDEN2020: Enhanced Delivery Ecosystem for NeurosurgeryEDEN2020 (Enhanced Delivery Ecosystem for Neurosurgery) aims to develop the gold standard for one-stop diagnosis and treatment of brain disease by delivering an integrated technology platform for minimally invasive neurosurgery. A team of first-class industrial partners (Renishaw plc. and XoGraph ltd.), leading clinical oncological neurosurgery team (Università di Milano, San Raffaele and Politecnico di Milano) lead by Prof. Lorenzo Bello and the involvement of leading experts in shape sensing (Universitair Medisch Centrum Groningen) under supervision of Prof. Dr. Sarthak Misra The project is coordinated by Dr. Rodriguez y Baena, Imperial College London. His team provides the core technology for the envisioned system, the bendable robotic needle. During the course of EDEN2020 this interdisciplinary team will work on the integration of 5 key concepts, namely (1) pre-operative MRI and diffusion-MRI imaging, (2) intra-operative ultrasounds, (3) robotic assisted catheter steering, (4) brain diffusion modelling, and (5) a robotics assisted neurosurgical robotic product (the Neuromate), into a pre-commercial prototype which meets the pressing demand for better and less invasive neurosurgery. Our chair will be focusing on the imaging components (i.e. (1) and (2)), targeting the realtime compensation of tissue movement and accurate localization of the flexible catheters at hand. We will further extend the findings of FP7 ACTIVE, in which we successfully combined pre-operative MRI with intra-operative US through deformable 3D-2D registration, making us most qualified for this role. |
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Intravascular Ultrasound Simulation from HistologyWe introduce a framework to simulate intravascular ultrasound (IVUS) from histological sections. These sections were previously acquired along with real IVUS radiofrequency signals using single-element 40MHz transducer. After labeling and registering the section to the corresponding IVUS image, a virtual phantom was created, incorporating nuclei scatterer patterns. A finite differences simulation of the acoustic signal was performed, resulting in backscattered radiofrequency signals. These were used to process a B-mode image, which in turn was compared to the real IVUS image of the same section. A high image quality with a very promising correlation to the original IVUS images was achieved. |
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Ultrasound Based Tissue Characterizationclinicians are challenged when colocated heterogeneous tissue backscatter mixed signals appearing as non-unique intensity patterns in B-mode ultrasound image. Tissue characterization algorithms have been developed to assist clinicians to identify such heterogeneous tissues and assess lesion stage. We propose a novel technique coined as Stochastic Driven Histology (SDH) that is able to provide information about co-located heterogeneous tissues. It employs learning of tissue specific ultrasonic backscattering statistical physics and signal confidence primal from labeled data for predicting heterogeneous tissue composition in plaques. We employ a random forest for the purpose of learning such a primal using sparsely labeled and noisy samples. In clinical deployment, the posterior prediction of different lesions constituting the plaque is estimated. |
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Computational Sonography3D ultrasound imaging has high potential for various clinical applications, but often suffers from high operator-dependency and the directionality of the acquired data. State-of-the-art systems mostly perform compounding of the image data prior to further processing and visualization, resulting in 3D volumes of scalar intensities. This work presents computational sonography as a novel concept to represent 3D ultrasound as tensor instead of scalar fields, mapping a full and arbitrary 3D acquisition to the reconstructed data. The proposed representation compactly preserves significantly more information about the anatomy-specific and direction-depend acquisition, facilitating both targeted data processing and improved visualization. We show the potential of this paradigm on ultrasound phantom data as well as on clinically acquired data for acquisitions of the femoral, brachial and antebrachial bone. Further investigation will consider additional compact directional-dependent representations on the one hand and on the other hand modify Computational Sonography from working on B-Mode images to RF-envelope statistics, motivated by the statistical process of image formation. We will show the advantages of the proposed improvements on simulated ultrasound data, phantom and clinically acquired ultrasound data. |
Related Publications
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| M. Tirindelli, M. Victorova, J. Esteban, S.T. Kim, D. Navarro-Alarcon, Y.P. Zheng, N. Navab
Force Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level" IEEE Robotics and Automation Letters (presented at IROS2020) (bib) |
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H. Hase, MF. Azampour, M. Tirindelli, M. Paschali, W. Simson, E. Fatemizadeh, N. Navab
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning The original manuscript is available currently online on arXiv. (bib) |
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| 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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W. Simson, R. Göbl, M. Paschali, M. Krönke, K. Scheidhauer, S. Weber, N. Navab
End-to-End Learning-Based Ultrasound Reconstruction The first two authors contributed equally. The original manuscript is available currently online on arXiv. (bib) |
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| 2018 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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W. Simson, M. Paschali, N. Navab, G. Zahnd
Deep Learning Beamforming for Sub-Sampled Ultrasound Data IEEE International Ultrasonics Symposium (IUS), 2018 Japan (bib) |
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C. Schulte-zu-Berge, M. Salehi, F. Bender, W. Wein
Ultrasound Decompression for Large Field-of-View Reconstructions Eurographics Workshop on Visual Computing in Biology and Medicine 2018, Granada, Spain, September 2018 (bib) |
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| M. Degel, N. Navab, S. Albarqouni
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound Proceedings of 21st International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018 A pre-print version is available online at arXiv. (bib) |
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B. Busam, P. Ruhkamp, S. Virga, B. Lentes, J. Rackerseder, N. Navab, C. Hennersperger
Markerless Inside-Out Tracking for 3D Ultrasound Compounding International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Point-of-Care Ultrasound, Granada, Spain, September 2018 [oral]. (bib) |
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G. Zahnd, K. Saito, K. Nagatsuka, Y. Otake, Y. Sato
Dynamic Block Matching to assess the longitudinal component of the dense motion field of the carotid artery wall in B-mode ultrasound sequences - Association with coronary artery disease Medical Physics (bib) |
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R. Prevost, M. Salehi, S. Jagoda, S. Kumar, J. Sprung, A. Ladikos, R. Bauer, O. Zettinig, W. Wein
3D Freehand Ultrasound without External Tracking using Deep Learning Medical Image Analysis, Volume 48, August 2018, Pages 187-202 (MICCAI Special Issue) (bib) |
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R. Göbl, N. Navab, C. Hennersperger
SUPRA: open-source software-defined ultrasound processing for real-time applications International Journal of Computer Assisted Radiology and Surgery / 9th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Berlin, Germany, June 2018. The original publication is available online at link.springer.com (bib) |
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S. Virga, R. Göbl, M. Baust, N. Navab, C. Hennersperger
Use the Force: Deformation Correction in Robotic 3D Ultrasound International Journal of Computer Assisted Radiology and Surgery / 9th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Berlin, Germany, June 2018. The original publication is available online at springer.com (bib) |
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J. Esteban, W. Simson, S. Requena, A. Rienmüller, S. Virga, O. Zettinig, B. Frisch, S. Drazen, Y.-M. Ryang , N. Navab, C. Hennersperger
Robotic Ultrasound-Guided Facet Joint Insertion International Journal of Computer Assisted Radiology and Surgery / 9th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Berlin, Germany, June 2018. (bib) |
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| 2017 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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R. Prevost, M. Salehi, J. Sprung, A. Ladikos, R. Bauer, W. Wein
Deep Learning for Sensorless 3D Freehand Ultrasound Imaging International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, Quebec City (bib) |
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M. Salehi, R. Prevost, J.-L. Moctezuma, N. Navab, W. Wein
Precise Ultrasound Bone Registration with Learning-Based Segmentation and Speed of Sound Calibration International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, Quebec City (bib) |
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R. Kojcev, A. Khakzar, B. Fuerst, O. Zettinig, C. Fakhry, R. DeJong, J. Richmon, R. Taylor, E. Sinibaldi, N. Navab
On the Reproducibility of Expert-Operated and Robotic Ultrasound Acquisitions International Journal of Computer Assisted Radiology and Surgery / International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona, June 2017.
O. Zettinig, J. Rackerseder, B. Lentes, T. Maurer, K. Westenfelder, M. Eiber, B. Frisch, N. Navab
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Preconditioned Intensity-Based Prostate Registration using Statistical Deformation Models IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, April 2017. (bib)
| J. Fotouhi, B. Fuerst, W. Wein, N. Navab
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Can real-time RGBD enhance intraoperative cone-beam CT? International journal of computer assisted radiology and surgery, July 2017, Volume 12 (bib)
| M. Riva, C. Hennersperger, F. Milletari, A. Katouzian, F. Pessina, B. Gutierrez-Becker, A. Castellano, N. Navab, L. Bello
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3D intra-operative ultrasound and MR image-guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation International Journal of Computer Assisted Radiology and Surgery, in press. (bib)
R. Göbl, S. Virga, J. Rackerseder, B. Frisch, N. Navab, C. Hennersperger
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Acoustic window planning for ultrasound acquisition International Journal of Computer Assisted Radiology and Surgery / 8th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona, Spain, June 2017. The original publication is available online at link.springer.com (bib)
O. Zettinig, B. Frisch, S. Virga, M. Esposito, A. Rienmüller, B. Meyer, C. Hennersperger, Y.-M. Ryang , N. Navab
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3D Ultrasound Registration-based Visual Servoing for Neurosurgical Navigation International Journal of Computer Assisted Radiology and Surgery, Volume 12, Issue 9, pp 1607–1619, 2017. The original publication is available online at link.springer.com (bib)
G. Zahnd, K. Kapellas, M. van Hattem, A. van Dijk, A. Sérusclat, P. Moulin, A. van der Lugt, M. Skilton, M. Orkisz
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A fully-automatic method to segment the carotid artery layers in ultrasound imaging: application to quantify the compression-decompression pattern of the intima-media complex during the cardiac cycle Ultrasound in Medicine & Biology (bib) 2016 |
| A. Kamen, W. Wein, P. Khurd, M. Diallo, R. Nanke, J. Fehre, B. Kiefer, M. Requardt, C. Weiss
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System and method for image guided prostate cancer needle biopsy US Grant US9521994B2 (bib)
B. Frisch, O. Zettinig, B. Fuerst, S. Virga, C. Hennersperger, N. Navab
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Collaborative Robotic Ultrasound: Towards Clinical Application Radiological Society of North America Annual Meeting, Chicago, USA, 2016 (bib)
C. Hennersperger, B. Fuerst, S. Virga, O. Zettinig, B. Frisch, T. Neff, N. Navab
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Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study IEEE Transactions on Medical Imaging, vol. 36, iss. 2, 2017 The original publication (open access) is available online at ieeexplore.ieee.org (bib)
S. Virga, O. Zettinig, M. Esposito, K. Pfister, B. Frisch, T. Neff, N. Navab, C. Hennersperger
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Automatic Force-Compliant Robotic Ultrasound Screening of Abdominal Aortic Aneurysms IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, October 2016. The original publication is available online at ieeexplore.ieee.org (bib)
| C. Kroll, F. Milletari, N. Navab, A. Ahmadi
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Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes Accepted at GCPR 2016 (bib)
M. Esposito, B. Busam, C. Hennersperger, J. Rackerseder, N. Navab, B. Frisch
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Multimodal US-Gamma Imaging using Collaborative Robotics for Cancer Staging Biopsies International Journal of Computer Assisted Radiology and Surgery (bib)
R. Kojcev, B. Fuerst, O. Zettinig, J. Fotouhi, S.C. Lee, B. Frisch, R. Taylor, E. Sinibaldi, N. Navab
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Dual-Robot Ultrasound-Guided Needle Placement: Closing the Planning-Imaging-Action Loop International Journal of Computer Assisted Radiology and Surgery / International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Heidelberg, June 2016. The original publication is available online at link.springer.com (bib)
O. Zettinig, B. Fuerst, R. Kojcev, M. Esposito, M. Salehi, W. Wein, J. Rackerseder, B. Frisch, N. Navab
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Toward Real-time 3D Ultrasound Registration-based Visual Servoing for Interventional Navigation IEEE International Conference on Robotics and Automation (ICRA), Stockholm, May 2016. The original publication is available online at ieeexplore.ieee.org (bib)
| C. Owen, C. Lowe, N. Ashton, P. Mandal, S. Rogers, W. Wein, C. McCollum?, A. Revell
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Computational hemodynamics of abdominal aortic aneurysms: Three-dimensional ultrasound versus computed tomography Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine (bib) 2015 |
| O. Bernard, F. Milletari, A. Ahmadi, et al.
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Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography Institute of Electrical and Electronics Engineers IEEE Transactions on Medical Imaging (bib)
| K. Pfister, W. Schierling, EM. Jung, H. Apfelbeck, C. Hennersperger, P. Kasprzak
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Standardized 2D ultrasound versus3D/4D ultrasound and image fusion for measurement of aortic aneurysm diameter in follow-up after EVAR Clinical Hemorheology and Microcirculation, 2015 (bib)
C. Schulte-zu-Berge, D. Declara, C. Hennersperger, M. Baust, N. Navab
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Real-time Uncertainty Visualization for B-Mode Ultrasound Proceedings Scientific Visualization 2015, Chicago IL, U.S.A, October 2015 (bib)
F. Milletari, A. Ahmadi, C. Kroll, C. Hennersperger, F. Tombari, A. Shah, A. Plate, K. Bötzel, N. Navab
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Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations MICCAI 2015, the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (bib)
| C. Hennersperger, M. Baust, D. Mateus, N. Navab
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Computational Sonography MICCAI 2015, the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (bib)
M. Esposito, B. Busam, C. Hennersperger, J. Rackerseder, A. Lu, N. Navab, B. Frisch
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Cooperative Robotic Gamma Imaging: Enhancing US-guided Needle Biopsy Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Munich, Germany, October 2015 [oral]. (bib)
| W. Wein, A. Ladikos
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Method and tomography apparatus for reconstruction of a 3D volume US Grant US9135729B2 (bib)
| V. de Luca, T. Benz, S. Kondo, L. König, D. Lübke, S. Rothlübbers, O. Somphone, S. Allaire, M.A. Lediju Bell, D.Y.F. Chung, A. Cifor, C. Grozea, M. Günther, J. Jenne, T. Kipshagen, M. Kowarschik, N. Navab, J. Rühaak, J. Schwaab, C. Tanner
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The 2014 liver ultrasound tracking benchmark Physics in Medicine and Biology, volume 60, issue 14, page 5571, July 2015. (bib)
| A. Ahmadi, F. Milletari, N. Navab, M. Schuberth, A. Plate, K. Bötzel
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3D Transcranial Ultrasound as a Novel Intra-operative Imaging Technique for DBS surgery - A Feasibility Study In Proc. 6th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona (SP), June 24, 2015 (bib)
M. Salehi, A. Ahmadi, R. Prevost, N. Navab, W. Wein
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Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization MICCAI 2015, the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (bib)
| W. Wein, A. Karamalis, A. Baumgartner, N. Navab
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Automatic bone detection and soft tissue aware ultrasound--CT registration for computer-aided orthopedic surgery International journal of computer assisted radiology and surgery, June 2015, Volume 10, Issue 6 (bib)
| B. Kainz, M. Steinberger, W. Wein, , C. Malamateniou, K. Keraudren, T. Torsney-Weir, M. Rutherford, P. Aljabar, J. V. Hajnal, D. Rueckert
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Fast volume reconstruction from motion corrupted stacks of 2D slices IEEE transactions on medical imaging, Volume: 34, Issue: 9, Sept. 2015 (bib) 2014 |
C. Schulte-zu-Berge, M. Baust, A. Kapoor, N. Navab
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Predicate-based Focus-and-Context Visualization for 3D Ultrasound IEEE Transactions on Visualization and Computer Graphics (Proceedings Scientific Visualization 2014), Paris, France, November 2014 (bib)
O. Zettinig, C. Hennersperger, C. Schulte-zu-Berge, M. Baust, N. Navab
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3D Velocity Field and Flow Profile Reconstruction from Arbitrarily Sampled Doppler Ultrasound Data Proceedings of the 17th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Boston, USA, September 2014. The original publication is available online at link.springer.com (bib)
A. Okur, C. Hennersperger, J.B. Runyan, J. Gardiazabal, M. Keicher, S. Paepke, T. Wendler, N. Navab
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fhSPECT-US Guided Needle Biopsy of Sentinel Lymph Nodes in the Axilla: Is it Feasible? Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, Lecture Notes in Computer Science Volume 8673, 2014, pp 577-584 (bib)
F. Milletari, M. Yigitsoy, N. Navab, A. Ahmadi
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Left Ventricle Segmentation in Cardiac Ultrasound Using Hough-Forests With Implicit Shape and Appearance Priors MICCAI Challenge on Endocardial Three-dimensional Ultrasound Segmentation (CETUS), Boston, MA, September 2014 (bib)
| , S. Conjeti, P. B. Noël, S. Carlier, N. Navab, A. Katouzian
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Full-Wave Intravascular Ultrasound Simulation from Histology Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2014 (bib)
T. Benz, M. Kowarschik, N. Navab
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Kernel-based Tracking in Ultrasound Sequences of Liver MICCAI Challenge on Liver Ultrasound Tracking (CLUST), Boston, MA, September 2014 (bib)
C. Schulte-zu-Berge, A. Kapoor, N. Navab
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Orientation-Driven Ultrasound Compounding Using Uncertainty Information Proceedings of the 5th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Fukuoka, Japan, June 2014 (bib)
A. Okur, C. Gerngross, A. Schnelzer, A. Ehlerding, M. Keicher, S. Wiesner, S. Paepke, K. Scheidhauer, T. Wendler
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First experience with fused ultrasound / freehand SPECT system for hybrid lymphatic mapping in breast cancer patients 52. Jahrestagung der Deutschen Gesellschaft fuer Nuklearmedizin, Hannover, Germany, Mar. 26 - 29, 2014. (bib) 2013 |
| S. Kraft, A. Karamalis, D. Sheet, E. Drecoll, E. Rummeny, N. Navab, P. B. Noël, A. Katouzian
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Introducing nuclei scatterer patterns into histology-based intravascular ultrasound simulation framework To appear in: SPIE Medical Imaging 2013 (bib)
| D. Sheet, A. Karamalis, S. Kraft, P. B. Noël, T. Vag, A. Sadhu, A. Katouzian, N. Navab, J. Chatterjee, A. K. Ray
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Random Forest learning of ultrasonic statistical physics and object spaces for lesion detection in 2D sonomammography To appear in: SPIE Medical Imaging 2013 (bib)
T. Blum, A. Rieger, N. Navab, H. Friess, M. E. Martignoni
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A Review of Computer-Based Simulators for Ultrasound Training Simulation in Healthcare, Volume 8, Number 2, pp. 98-108 (bib)
| A. Eslami, A. Karamalis, A. Katouzian, N. Navab
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Segmentation By Retrieval With Guided Random Walks: Application To Left Ventricle Segmentation in MRI Medical Image Analysis, vol. 17, no. 2, 2013, www.sciencedirect.com.ezproxy.cul.columbia.edu/science/article/pii/S136184151200151X (bib) 2012 |
| A. Ahmadi, T. Klein, A. Plate, K. Bötzel, N. Navab
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Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A feasibility study using 3D transcranial ultrasound of the midbrain. Workshop Bildverarbeitung fuer die Medizin, Berlin (GER), March 18-20, 2012 (bib)
R. Feurer, C. Hennersperger, J.B. Runyan, C.F. Seifert, J. Pongratz, M. Wilhelm, J. Pelisek, N. Navab, E. Bartels, H. Poppert
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Reliability of a freehand three-dimensional ultrasonic device allowing anatomical orientation “at a glance”: Study protocol for 3D measurements with Curefab CS® Journal of Biomedical Graphics and Computing, Vol. 2:2 (bib)
O. K. Oye, W. Wein, D. M. Ulvang, K. Matre, I. Viola
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Real Time Image-Based Tracking of 4D Ultrasound Data Medical Image Computing and Computer-Assisted Intervention (MICCAI 2012), Nice, France, October 2012 (bib)
| T. Klein, M. Hansson, N. Navab
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Modeling of Multi-View 3D Freehand Radio Frequency Ultrasound Proceedings of the 15th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Nice, France, October 2012 (bib)
| J. Beitzel, A. Ahmadi, A. Karamalis, W. Wein, N. Navab
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Ultrasound Bone Detection Using Patient-Specific CT Prior International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, USA, September 1 2012. (bib)
| V. Solteszova, L.E.S. Helljesen, W. Wein, O.H. Gilja, I. Viola
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Lowest-Variance Streamlines for Filtering of 3D Ultrasound Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) 2012, Norrköping, Sweden, September 2012 (bib)
| A. Katouzian, A. Karamalis, A. Konig, S. Carlier, N. Navab
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Ambiguity in detection of necrosis in IVUS plaque characterization algorithms European Society of Cardiology, Munich, Germany, 2012 (bib)
| A. Katouzian, A. Karamalis, D. Sheet, E. Konofagou, B. Baseri, S. Carlier, A. Eslami, A. Konig, N. Navab, A. Laine
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Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison with Virtual Histology IEEE Transactions on Biomedical Engineering (bib)
| A. Karamalis, W. Wein, T. Klein, N. Navab
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Ultrasound Confidence Maps using Random Walks Medical Image Analysis, 16, 6, 1101 - 1112, 2012, DOI: http://dx.doi.org/10.1016/j.media.2012.07.005 (bib)
| A. Plate, A. Ahmadi, O. Pauly, T. Klein, N. Navab, K. Bötzel
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3D Sonographic Examination of the Midbrain for Computer-Aided Diagnosis of Movement Disorders To appear: Ultrasound in Medicine and Biology, ELSEVIER, Christy K. Holland (Editor), accepted for publication July 21 2012 (bib)
| A. Katouzian, A. Karamalis, , A. Eslami, N. Navab
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IVUS-Histology Image Registration 5th Workshop on Biomedical Image Registration, Nashville, USA, July, 2012 (bib)
| E. Dehghan, J. Lee, P. Fallavollita, N. Kuo, A. Deguet, Yi Le, C. Burdette, D. Song, J. Prince, G. Fichtinger
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Ultrasound-Fluoroscopy Registration for Prostate Brachytherapy Dosimetry Medical Image Analysis, 2012 (bib)
| A. Karamalis, A. Katouzian, S. Carlier, N. Navab
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Confidence Estimation in IVUS Radio-Frequency Data with Random Walks In Proc. 9th IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012 (bib)
| A. Katouzian, A. Karamalis, A. Laine, N. Navab
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A Systematic Approach Toward Reliable Atherosclerotic Plaque Characterization in IVUS Images Bildverarbeitung für die Medizin, Berlin, 2012, Germany (bib)
| P. Waelkens, A. Ahmadi, N. Navab
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'Frangi goes US': Multiscale Tubular Structure Detection Adapted to 3D Ultrasound In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice (FR), October 01-05, 2012 (bib)
| O. Pauly, A. Ahmadi, A. Plate, K. Bötzel, N. Navab
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Detection of Substantia Nigra Echogenicities in 3D Transcranial Ultrasound for Early Diagnosis of Parkinson Disease In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice (FR), October 01-05, 2012 (bib)
D. Mateus, C. Wachinger, S. Atasoy, L. Schwarz, N. Navab
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Learning Manifolds: Design Analysis for Medical Applications 2012. Kenji Suzuki (Ed.), "Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis", pp. 403-418. IGI Global, doi:10.4018/978-1-4666-0059-1. (bib)
| C. Wachinger, N. Navab
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Simultaneous Registration of Multiple Images: Similarity Metrics and Efficient Optimization IEEE Transactions on Pattern Analysis and Maschine Intelligence (TPAMI) (bib)
| C. Wachinger, T. Klein, N. Navab
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The 2D Analytic Signal for Envelope Detection and Feature Extraction on Ultrasound Images Medical Image Analysis, in press (bib)
| C. Wachinger, T. Klein, N. Navab
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Locally adaptive Nakagami-based ultrasound similarity measures Ultrasonics, Volume 52, Issue 4, April 2012, Pages 547–554. (bib)
| C. Wachinger, M. Yigitsoy, E. Rijkhorst, N. Navab
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Manifold Learning for Image-Based Breathing Gating in Ultrasound and MRI Medical Image Analysis, Volume 16, Issue 4, May 2012, Pages 806–818. (bib) 2011 |
L. Grady, S. Datta, O. Kutter, C. Duong, W. Wein, S. Little, X. Liu, M. Vannan
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Regurgitation Quantification using 3D PISA in Volume Echocardiography Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), Toronto, Canada, September 2011 (bib)
| C. Wachinger, T. Klein, N. Navab
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The 2D Analytic Signal on RF and B-mode Ultrasound Images Information Processing in Medical Imaging (IPMI), July 3-8 2011. (bib)
| K. Mori, T. Kugo, X. Luo, P. Dressel, T. Reichl, M. Feuerstein, N. Navab, T. Kitasaka
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Endobronchial ultrasound endoscope navigation system based on CT-US calibration Computer Assisted Radiology and Surgery, Berlin, Germany, June 2011 (bib)
| T. Klein, M. Hansson, N. Navab
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Spatial Statistics Based Feature Descriptor for RF Ultrasound Data IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2011), Chicago, Illinois, USA, March 30 - April 2, 2011 (bib) 2010 |
C. Wachinger, M. Yigitsoy, N. Navab
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Manifold Learning for Image-Based Breathing Gating with Application to 4D Ultrasound Medical Image Computing and Computer Assisted Intervention (MICCAI), Beijing, China, September 20-24 2010. (bib)
A. Karamalis, W. Wein, N. Navab
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Fast Ultrasound Image Simulation using the Westervelt Equation In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Beijing, China, September 20-24, 2010 (bib)
P. Dressel, M. Feuerstein, T. Reichl, T. Kitasaka, N. Navab, K. Mori
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Direct Co-Calibration of Endobronchial Ultrasound and Video 5th International Workshop on Medical Imaging and Augmented Reality, Sep 2010, Beijing (bib)
| A. Plate, A. Ahmadi, T. Klein, N. Navab, J. Weiße, J. Mehrkens, K. Bötzel
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Towards a More Objective Visualization of the Midbrain and its Surroundings Using 3D Transcranial Ultrasound 54. Jahrestagung der Deutschen Gesellschaft für Klinische Neurophysiologie und Funktionelle Bildgebung (DGKN), Halle, GER, March 2010 (bib) 2009 |
| A. Ahmadi, T. Klein, N. Navab
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Advanced Planning and Ultrasound Guidance for Keyhole Neurosurgery in ROBOCAST Russian Bavarian Conference (RBC), Munich, GER, July 2009 (bib)
| A. Ahmadi, T. Klein, N. Navab, R. Roth, R.R. Shamir, L. Joskowicz, E. DeMomi?, G. Ferrigno, L. Antiga, R.I. Foroni
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Advanced Planning and Intra-operative Validation for Robot-Assisted Keyhole Neurosurgery In ROBOCAST International Conference on Advanced Robotics (ICAR), Munich, GER, June 2009 (bib)
A. Karamalis, W. Wein, O. Kutter, N. Navab
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Fast Hybrid Freehand Ultrasound Volume Reconstruction In Proc. SPIE Medical Imaging, Orlando, Florida, USA, February 2009 (bib)
O. Kutter, R. Shams, N. Navab
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Visualization and GPU-accelerated simulation of medical ultrasound from CT images Computer Methods and Programs in Biomedicine, Volume 94, Issue 3, June, 2009 (bib) 2008 |
T. Reichl, J. Passenger, O. Acosta, O. Salvado
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Real-time ultrasound simulation on GPU CSIRO, Proceedings of CSIRO ICT Centre Conference 2008 (bib)
| T. Reichl
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Ultrasound Simulation Project Patent Landscape Search August 2008 CSIRO, The Australian e-Health Research Centre, Internal Report 2008/289 (bib)
| T. Reichl, J. Passenger, O. Acosta, O. Salvado
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Transrectal Ultrasound and Biopsy Simulation Literature Review CSIRO, The Australian e-Health Research Centre, Internal Report 2008/108 (bib) 2007 |
C. Alcérreca, J. Vogel, M. Feuerstein, N. Navab
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A New Approach to Ultrasound Guided Radio-Frequency Needle Placement Bildverarbeitung für die Medizin 2007, Munich, Germany, March 2007 (bib) | |||||||||||||||||||||||||||||||||||||||||||
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