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A novel approach to image reconstruction and calibration for a multi-slit-slat SPECT system

Erlandsson, K; Salvado, D; Hutton, BF; (2017) A novel approach to image reconstruction and calibration for a multi-slit-slat SPECT system. In: Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD), 2016. IEEE: Strasbourg, France. Green open access

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Abstract

In the context of the development of a simultaneous SPECT/MRI system, we have previously proposed a multi-minislit-slat (MSS) collimator, with multiple sections of short slits in order to improve the angular sampling. The data can be reconstructed using a 3D reconstruction algorithm that models the collimator geometry. One drawback, however, is that the projection data obtained with this collimator are difficult to interpret visually. Also, calibration can be problematic, as each mini-slit only covers part of the object FoV. We have therefore developed an algorithm for transforming the MSS projection data into the traditional sinogram format. These sinograms consist of multiple thin tilted lines with gaps in between due to the lack of detector rotation in this system. The data can be reconstructed using standard parallel-beam algorithms, taking into account the fact that there are data missing. We have shown with simulations and measurements that the algorithm can transform complex data, consisting of multiple rough broken line segments, into simple sine-curves. This algorithm can be useful for interpreting the acquired MSS data, reconstructing images, and calibrating the system.

Type: Proceedings paper
Title: A novel approach to image reconstruction and calibration for a multi-slit-slat SPECT system
ISBN-13: 9781509016426
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/NSSMIC.2016.8069508
Publisher version: http://doi.org/10.1109/ICTAI.2015.2810.1109/NSSMIC...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
URI: https://discovery.ucl.ac.uk/id/eprint/10048857
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