Seppi, Carlo and Nahum, Uri and von Niederhäusern, Peter A. and Pezold, Simon and Rissi, Michael and Haerle, Stephan and Cattin, Philippe C. . (2017) Compressed Sensing on Multi-Pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy. In: Medical Image Computing and Computer Assisted Interventions (MICCAI). Cham, pp. 415-423.
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Official URL: https://edoc.unibas.ch/63977/
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Abstract
State-of-the-art imaging devices for sentinel lymph node biopsy are either a 1-dimensional gamma probe or more recently 2-dimensional gamma cameras that locate the sentinel lymph node. These devices, however, share difficulties when multiple lymph nodes are close-by and do not allow the estimation of the distance to the lymph nodes, as the tracer activation is projected either to a 1- or 2-dimensional image plane. We propose a method, which reconstructs the tracer distribution using a single image of the detector resulting from a multi-pinhole collimator. Applying standard image processing tools on the detector’s image leads to a reduced, sparse system. Thus, we propose an efficient and reliable compressed sensing strategy, to reconstructs the 3-dimensional tracer distribution using a multi-pinhole collimator and a single detector image. This approach enables better estimation of lymph nodes position and improves the differentiation of close-by lymph nodes.
Faculties and Departments: | 03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin) |
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UniBasel Contributors: | Cattin, Philippe Claude |
Item Type: | Conference or Workshop Item, refereed |
Conference or workshop item Subtype: | Conference Paper |
Publisher: | Springer |
ISBN: | 978-3-319-66184-1 |
e-ISBN: | 978-3-319-66185-8 |
Series Name: | Lecture Notes in Computer Science book series (LNCS) |
Issue Number: | 10434 |
Note: | Publication type according to Uni Basel Research Database: Conference paper |
Identification Number: | |
Last Modified: | 29 May 2018 08:29 |
Deposited On: | 29 May 2018 08:29 |
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