ProjectDeconvolution

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

Multi-View Deconvolution

Multi-View Deconvolution

Scientific Director: Nassir Navab

Contact Person(s): Moritz Blume

In industrial collaboration with:
Siemens Corporate Research

Keywords: Medical Imaging

Abstract

Biomedical images are often degraded during image acquisition. Two very common degradations that occur in many biomedical imaging modalities are blur and noise. Corrupted images are more difficult to interpret by the physician or researcher and so the goal is to restore the original image. Blurring can be mathematically modeled by convolution, and within this model the blur is characterized by the point-spread-function (PSF). Two kinds of blur can be distinguished: shift-invariant and shift-variant blur. Shift-invariant blur is constant over the whole image, and shift-variant blur is characterized by a PSF that is dependent on the spatial position in the image. The process of restoring a blurred image is referred to as deconvolution in the literature. There are two major classes: non-blind deconvolution algorithms that assume that the PSF is known in advance and blind deconvolution algorithms that do not need any a priori knowledge regarding the PSF. We propose a new blind deconvolution method. As an input, our method takes several observations of the same scene, each of them acquired from a different point of view, and their respective spatial transformations. The transformations are either directly known by dedicated image acquisition systems, or they can be retrieved by image registration or tracking. The output is the restored original image and PSF. This multi-view setting occurs frequently in practice. However, most of the methods available in the literature do not specifically take advantage of the information provided by this setting. This project aims at unparameterized blind deconvolution in the shift-variant case.

Pictures

Figure 1: First blurred observation
Figure 2: Second blurred observation
Figure 3: Restoration by our proposed multi-view deconvolution algorithm

Team

Contact Person(s)

Moritz Blume
Dr. Moritz Blume

Working Group

Darko Zikic
Darko Zikic
Moritz Blume
Dr. Moritz Blume
Nassir Navab
Prof. Dr. Nassir Navab
Wolfgang Wein
Dr. Wolfgang Wein

Location



Technische Universität München
Institut für Informatik / I16
Boltzmannstr. 3
85748 Garching bei München

Tel.: +49 89 289-17058
Fax: +49 89 289-17059
Visit our lab at Garching.



internal project page

Please contact Moritz Blume for available student projects within this research project.

Publications

2010
M. Blume, A. Martinez-Möller, A. Keil, N. Navab, M. Rafecas
Joint Reconstruction of Image and Motion in Gated Positron Emission Tomography
IEEE Trans. Med. Imag., vol. 29, no. 11, pp. 1892-1906, November 2010 (bib)
M. Blume, A. Keil, N. Navab, M. Rafecas
Joint Reconstruction of Image and Motion for PET: Displacement Fields Versus a B-Spline Motion Model
Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, Knoxville, TN, U.S.A., October 2010 (bib)
M. Blume, M. Rafecas
Joint Reconstruction of Image and Motion for PET Using Linear Diffusion Regularization
Congreso Anual de la Sociedad Espa\~nola de Ingenier\'ia Biom\'edica, Madrid, Spain, November 2010 (bib)
2009
M. Blume, A. Keil, N. Navab, M. Rafecas
Blind Motion Compensation for Positron-Emission-Tomography
SPIE Medical Imaging, Orlando, FL, U.S.A., Feburary 2009 (bib)
M. Blume, A. Martinez-Möller, A. Keil, N. Navab, M. Rafecas
Simultaneous Reconstruction of Image and Motion in Gated Positron-Emission-Tomography
Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, Orlando, FL, U.S.A., October 2009 (bib)
M. Blume, A. Martinez-Möller, A. Keil, N. Navab, M. Rafecas
Joint Reconstruction of Image and Motion in Gated Positron-Emission-Tomography
10th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Beijing, China, September 2009 (bib)
T. Felder, M. Blume, J. Oliver, M. Rafecas
ML-EM Implementation on a GPU: Avoiding Simultaneous Read-Modify-Write Processes
10th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Beijing, China, September 2009 (bib)
2008
M. Blume, M. Rafecas, S. I. Ziegler, N. Navab
Combined Motion Compensation and Reconstruction for PET
Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, Dresden, Germany, October 2008 (bib)
2007
W. Wein, M. Blume, U. Leischner, H.-U. Dodt, N. Navab
Quality-based Registration and Reconstruction of Optical Tomography Volumes
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007), Brisbane, Australia, October 2007 (bib)
M. Blume, D. Zikic, W. Wein, N. Navab
A New and General Method for Blind Shift-Variant Deconvolution of Biomedical Images
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007), Brisbane, Australia, October 2007 (bib)


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 17 Sep 2007 - 11:23 - MoritzBlume

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif