Cita:
2010 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 2010. Pp. 2084 - 2087
ISBN:
978-1-4244-9106-3
ISSN:
1095-7863
DOI:
10.1109/NSSMIC.2010.5874144
Agradecimientos:
This work was supported in part
by the CENIT-AMIT Ingenio 2010, Ministerio de Ciencia e Innovación,
TEC2007-64731, TEC 2008-06715-C02-1, RETIC-RECAVA, Ministerio de
Sanidad y Consumo, and the ARTEMIS de la Comunidad de Madrid
(S2009/DPI-1802) programs
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 IntConventional 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.[+][-]
Nota:
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
