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Iterative Automatic Segmentation in cardiac PET based on TAC correlation: preliminary results

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URI: https://hdl.handle.net/10016/14663
ISSN: 1095-7863
ISBN: 978-1-4244-9106-3
DOI: 10.1109/NSSMIC.2010.5874144
UXXI: CC/0000012089
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iterative_IEEE_2010_ps.pdf (195.85 KB)
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2010
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IEEE
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Conventional kinetic parameter estimation based on compartmental models requires an accurate estimation of arterial blood input function. To avoid invasive blood sampling, an image-derived input function can be obtained by manually defining a Region of Interest. Here we propose a new and simple, iterative method for automatic segmentation and input function calculation of PET cardiac studies using correlation as a distance metric between a priori information regarding the approximate shape of the final time-activity curve (TAC) and the actual TAC extracted from the image temporal series.
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Proceeding of: 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference and 17th Room Temperature Semiconductor Detector Workshop (IEEE), Knoxville, Tennessee, USA, October 30 - November 6, 2010
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2010 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 2010. Pp. 2084 - 2087
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