SepPhaseReg

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

DA / MA / BA / SEP: Phase-based Registration of Ultrasound Images


Advisor: Prof. Nassir Navab
Supervision by: Christian Wachinger

Abstract

The registration of ultrasound images is a complex task. There are several ways how to perform the registration. Feature- and intensity-based registration approaches have both their advantages and inconvenients. Recently, phase-based approaches have been published, which combine advantages from intensity- and feature-based approaches. In this work, we will implement a phase based registration method and compare its results to standard registration approaches.

Resources

Literature

C. Wachinger, N. Navab
A Contextual Maximum Likelihood Framework for Modeling Image Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island (USA), June 2012. (bib)
C. Wachinger, N. Navab
Manifold Learning for Multi-Modal Image Registration
21st British Machine Vision Conference (BMVC), Aberystwyth, United Kingdom, August 31 - September 3 2010. (bib)
C. Wachinger, N. Navab
Structural Image Representation for Image Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, California, June 2010. Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). (bib)
C. Wachinger, N. Navab
Alignment of Viewing-Angle Dependent Ultrasound Images.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 20-24 2009 (bib)
O. Kutter, W. Wein, N. Navab
Multi-modal registration based Ultrasound Mosaicing
Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 20-24 2009 (bib)
C. Wachinger, N. Navab
Similarity Metrics and Efficient Optimization for Simultaneous Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida (USA), June 2009. (bib)
C. Wachinger, B. Glocker, J. Zeltner, N. Paragios, N. Komodakis, M. S. Hansen, N. Navab
Deformable Mosaicing for Whole-body MRI
Medical Image Computing and Computer-Assisted Intervention (MICCAI), New York, USA, September 6-10 2008 (bib)
C. Wachinger
Insights Into Three-Dimensional Ultrasound Mosaicing: Strategies for the alignment of multiple ultrasound volumes
VDM Verlag Dr. Müller, Stuttgart, ISBN: 3836488264, December 23 2008, Amazon (bib)
C. Wachinger, W. Wein, N. Navab
Registration Strategies and Similarity Measures for Three-dimensional Ultrasound Mosaicing
Journal of the University Radiologists, Academic Radiology 15 (11), pp.1404-1415. Special issue of MICCAI 2007 (bib)
S. Atasoy, D. Noonan, S. Benhimane, N. Navab, G. Z. Yang
A Global Approach for Automatic Fibroscopic Video Mosaicing in Minimally Invasive Diagnosis
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2008, New York, USA, September 6-10 2008 (bib)
C. Wachinger, R. Shams, N. Navab
Estimation of Acoustic Impedance from Multiple Ultrasound Images with Application to Spatial Compounding
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska (USA), June 2008. Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). (bib)
C. Wachinger, N. Navab
Ultrasound Specific Similarity Measures for Three-Dimensional Mosaicing.
SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008 (bib)
C. Wachinger, W. Wein, N. Navab
Three-Dimensional Ultrasound Mosaicing
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2007, Brisbane, Australia, October 29 - November 2 2007 (bib)
C. Wachinger, W. Wein, N. Navab
Ultrasound Volume Stitching
6. Jahrestagung der Deutschen Gesellschaft für Computer-und Roboter-Assistierte Chirurgie (CURAC 2007), Karlsruhe, Germany, October 2007 (bib)

Students.ProjectForm
Title: Phase-based Registration of Ultrasound Images
Abstract: The registration of ultrasound images is a complex task. There are several ways how to perform the registration. Feature- and intensity-based registration approaches have both their advantages and inconvenients. Recently, phase-based approaches have been published, which combine advantages from intensity- and feature-based approaches. In this work, we will implement a phase based registration method and compare its results to standard registration approaches.
Student:  
Director: Prof. Nassir Navab
Supervisor: Christian Wachinger
Type: DA/MA/BA
Area: Registration / Visualization
Status: draft
Start:  
Finish:  


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