ResearchIssueUltrasound

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Research in Ultrasound Imaging

Table of Content

Contact Person and Group Coordination

Christoph Hennersperger
Nassir Navab




Research Projects in Ultrasound Imaging

patient-Specific Translational research on Atherosclerosis and Diagnosis (STAnD)

patient-Specific Translational research on Atherosclerosis and Diagnosis (STAnD)

Advanced Robotics for Multi-Modal Interventional Imaging (RoBildOR)

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.
Ultrasound-Based Brainshift Estimation and Correction

Ultrasound-Based Brainshift Estimation and Correction

In 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.
EDEN2020: Enhanced Delivery Ecosystem for Neurosurgery

EDEN2020: Enhanced Delivery Ecosystem for Neurosurgery

EDEN2020 (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.
Intravascular Ultrasound Simulation from Histology

Intravascular Ultrasound Simulation from Histology

We 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.
Ultrasound Based Tissue Characterization

Ultrasound Based Tissue Characterization

clinicians 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.
Computational Sonography

Computational Sonography

3D 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

2017
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
Preconditioned Intensity-Based Prostate Registration using Statistical Deformation Models
IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, April 2017. (bib)
M. Riva, C. Hennersperger, F. Milletari, A. Katouzian, F. Pessina, B. Gutierrez-Becker, A. Castellano, N. Navab, L. Bello
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
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
3D Ultrasound Registration-based Visual Servoing for Neurosurgical Navigation
International Journal of Computer Assisted Radiology and Surgery, in press, 2017.
The original publication is available online at link.springer.com
(bib)
2016
B. Frisch, O. Zettinig, B. Fuerst, S. Virga, C. Hennersperger, N. Navab
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
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
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
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
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
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
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)
2015
O. Bernard, F. Milletari, A. Ahmadi, et al.
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
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
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
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
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
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 (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
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
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
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)
2014
C. Schulte zu Berge, M. Baust, A. Kapoor, N. Navab
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
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
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
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
Full-Wave Intravascular Ultrasound Simulation from Histology
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2014 (bib)
T. Benz, M. Kowarschik, N. Navab
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Ultrasound-Fluoroscopy Registration for Prostate Brachytherapy Dosimetry
Medical Image Analysis, 2012 (bib)
A. Karamalis, A. Katouzian, S. Carlier, N. Navab
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
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
'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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Fast Hybrid Freehand Ultrasound Volume Reconstruction
In Proc. SPIE Medical Imaging, Orlando, Florida, USA, February 2009 (bib)
O. Kutter, R. Shams, N. Navab
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
Real-time ultrasound simulation on GPU
CSIRO, Proceedings of CSIRO ICT Centre Conference 2008 (bib)
T. Reichl
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
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
A New Approach to Ultrasound Guided Radio-Frequency Needle Placement
Bildverarbeitung für die Medizin 2007, Munich, Germany, March 2007 (bib)

Working Group

Ahmadi
Ahmad Ahmadi
Esteban
Javier Esteban
Frisch
Benjamin Frisch
Göbl
Rüdiger Göbl
Hennersperger
Christoph Hennersperger
Lentes
Beatrice Lentes
Mateus
Diana Mateus
Rackerseder
Julia Rackerseder
Virga
Salvatore Virga


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