Weighted MRI-Based bowsher priors for SPECT brain image reconstruction

A. Bousse*, K. Erlandsson, S. Pedemonte, D. Kazantsev, S. Ourselin, S. Arridge, B. F. Hutton

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    10 Citations (Scopus)

    Abstract

    This paper presents a generalization of the Bowsher prior for SPECT reconstruction using anatomical prior. Instead of considering a binary selection of the neighbors of each reconstructed voxel based on the anatomical prior values, each neighbors are taken into account with a suitable weight. We tried three different weights. We showed that, for brain SPECT reconstruction using MRI, in the case of perfect registration, the weighted Bowsher prior give similar results to the regular Bowsher prior. In the case of misregistration, the weighted Bowsher prior outperforms the Bowsher prior.

    Original languageEnglish
    Title of host publicationIEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010
    Pages3519-3522
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    Event2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 - Knoxville, TN, United States
    Duration: 30 Oct 20106 Nov 2010

    Other

    Other2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010
    CountryUnited States
    CityKnoxville, TN
    Period30/10/106/11/10

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  • Cite this

    Bousse, A., Erlandsson, K., Pedemonte, S., Kazantsev, D., Ourselin, S., Arridge, S., & Hutton, B. F. (2010). Weighted MRI-Based bowsher priors for SPECT brain image reconstruction. In IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010 (pp. 3519-3522). [5874462] https://doi.org/10.1109/NSSMIC.2010.5874462