Paper
20 April 2000 Reproducible measurements based on myocardial perfusion studies for patient follow-up
Jean-Philippe Thirion, Scott Leonard, Robert Hendel
Author Affiliations +
Abstract
Our aim is to derive quantitative measurements from Myocardium Perfusion Scintigraphic (MPS) exams for drug trials on Myocardium re-perfusion. We are considering 19 patients imaged 6 times to measure the effects of various conditions of SPECT acquisition (Sestamibi stress and Thallium rest). We are also measuring the stability of various indices of perfusion evolution. Our method is based on intra-patients image matching techniques for follow-up and on inter-patients matching with a reference model based on 100 normal subjects to define perfusion abnormalities. We are measuring intensity differences between normalized images of 10% for Sestamibi and 14% for Thallium. Correlation between image acquisitions is 95% for Sestamibi and 88% for Thallium. Our most stable index is the deficit load, being the integral over stress defects of perfusion deficit. For our 19 cases, deficit load average is 8% of global normal perfusion (GNP), standard deviation between 2 acquisitions is about 0.5% GNP with a -0.4% GNP systematic bias, and correlation between 2 acquisitions is 99.8%. The stability of the index is demonstrated and we expect that a deficit load variation of more than 2% GNP is significant of an evolution, which has to be confirmed by ongoing retrospective drug trials.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jean-Philippe Thirion, Scott Leonard, and Robert Hendel "Reproducible measurements based on myocardial perfusion studies for patient follow-up", Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); https://doi.org/10.1117/12.383422
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KEYWORDS
Thallium

Single photon emission computed tomography

3D modeling

Image acquisition

Image analysis

Medical imaging

Image processing

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