Compressed Sensing on Multi-Pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy

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.

Full text not available from this repository.

Official URL: https://edoc.unibas.ch/63977/

Downloads: Statistics Overview


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)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
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

Repository Staff Only: item control page