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Inverse Monte Carlo: a unified reconstruction algorithm for SPECT

Conference · · IEEE Trans. Nucl. Sci.; (United States)
OSTI ID:6180903
; ;
Inverse Monte Carlo (IMOC) is presented as a unified reconstruction algorithm for Emission Computed Tomography (ECT) providing simultaneous compensation for scatter, attenuation, and the variation of collimator resolution with depth. The technique of inverse Monte Carlo is used to find an inverse solution to the photon transport equation (an integral equation for photon flux from a specified source) for a parameterized source and specific boundary conditions. The system of linear equations so formed is solved to yield the source activity distribution for a set of acquired projections. For the studies presented here, the equations are solved using the EM (Maximum Likelihood) algorithm although other solution algorithms, such as Least Squares, could be employed. While the present results specifically consider the reconstruction of camera-based Single Photon Emission Computed Tomographic (SPECT) images, the technique is equally valid for Positron Emission Tomography (PET) if a Monte Carlo model of such a system is used. As a preliminary evaluation, experimentally acquired SPECT phantom studies for imaging Tc-99m (140 keV) are presented which demonstrate the quantitative compensation for scatter and attenuation for a two dimensional (single slice) reconstruction. The algorithm may be expanded in a straight forward manner to full three dimensional reconstruction including compensation for out of plane scatter.
Research Organization:
Duke Univ. Medical Center, Durham, NC
OSTI ID:
6180903
Report Number(s):
CONF-841007-
Conference Information:
Journal Name: IEEE Trans. Nucl. Sci.; (United States) Journal Volume: NS-32:1
Country of Publication:
United States
Language:
English

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Related Subjects

550601* -- Medicine-- Unsealed Radionuclides in Diagnostics
62 RADIOLOGY AND NUCLEAR MEDICINE
CAMERAS
COMPUTERIZED SIMULATION
COMPUTERIZED TOMOGRAPHY
DIAGNOSTIC TECHNIQUES
EMISSION COMPUTED TOMOGRAPHY
GAMMA CAMERAS
IMAGE PROCESSING
MAXIMUM-LIKELIHOOD FIT
MONTE CARLO METHOD
NUMERICAL SOLUTION
POSITRON COMPUTED TOMOGRAPHY
PROCESSING
RESOLUTION
SCATTERING
SIMULATION
SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY
TOMOGRAPHY