Approximate volumetric system models for MicroSPECT

J. Gregor, T. Benson, S. Gleason, M. Paulus, S. Figueroa, T. Hoffman, S. Kennel, J. Wall

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A microSPECT system has been developed for the purpose of studying murine models of amyloidosis in vivo. The system is equipped with two detector heads, each consisting of a multi-anode photomultiplier tube coupled to a pixellated NaI(Tl) crystal array. Images are reconstructed using an OS-EM algorithm. In this paper, we describe the associated volumetric system models that we have developed in support of both pinhole and parallel hole collimation. These models, which are precomputed and stored to disk prior to reconstruction, are based on simple inner-product computations and a region-growing like search defined by the conic view that each detector pixel has of the image voxels. We provide illustrative experimental results based on phantom and mouse data.

Original languageEnglish
Article number1710250
Pages (from-to)2646-2652
Number of pages7
JournalIEEE Transactions on Nuclear Science
Volume53
Issue number5
DOIs
StatePublished - Oct 2006

Funding

Manuscript received November 12, 2004; revised July 7, 2005. This work was supported by the NIH under Grant R01 EB00789 and the DHHS under Grants R01-CA72942 and 1P50-CA13013. The computer equipment was acquired as part of SInRG, a University of Tennessee grid infrastructure Grant supported by the NSF under Grant EIA-9972889.

FundersFunder number
National Science FoundationEIA-9972889
National Institutes of HealthR01 EB00789
U.S. Department of Health and Human Services1P50-CA13013, R01-CA72942
University of Tennessee

    Keywords

    • Amyloid
    • Bone scan
    • Image reconstruction
    • Single photon emission computed tomography
    • Small animal imaging
    • System model

    Fingerprint

    Dive into the research topics of 'Approximate volumetric system models for MicroSPECT'. Together they form a unique fingerprint.

    Cite this