Assessment of automated scintigram alignment in the stackgram domain for cardiac stress–rest SPECT studies

Abstract Single photon emission computed tomography (SPECT) provides a method to obtain three-dimensional images of blood perfusion. In cardiac stress–rest SPECT studies, coronary artery disease can be examined by comparing intensity differences of the acquired images of the heart at stress and rest...

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Bibliographic Details
Published in:Computerized medical imaging and graphics 2007-12, Vol.31 (8), p.595-606
Main Authors: Happonen, Antti P, Koskinen, Matti O
Format: Article
Language:English
Subjects:
Alignment
Automation
Coronary Disease - physiopathology
Decomposition
Heart - physiopathology
Humans
Internal Medicine
Myocardium
Other
Raw data
SPECT
Tomography, Emission-Computed, Single-Photon
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Summary:Abstract Single photon emission computed tomography (SPECT) provides a method to obtain three-dimensional images of blood perfusion. In cardiac stress–rest SPECT studies, coronary artery disease can be examined by comparing intensity differences of the acquired images of the heart at stress and rest. The stress–rest image pair needs to be aligned into the same spatial position and orientation in order to compare the images in an automated and reproducible manner. In this work, we study a novel stackgram-based alignment algorithm for cardiac stress–rest SPECT data. The stackgram approach allows the alignment of the acquired raw data prior to image reconstruction, unlike conventional alignment techniques.
ISSN:0895-6111
1879-0771
DOI:10.1016/j.compmedimag.2007.07.001