DocumentCode :
2392385
Title :
A MRI myocardial perfusion analysis tool
Author :
Née, G. ; Jehan-Besson, S. ; Brun, L. ; Revenu, M. ; Hamon, M. ; Hamon-Kérautret, M. ; Perrin, M.
Author_Institution :
GREYC Lab., Caen, France
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
4387
Lastpage :
4390
Abstract :
MRI myocardial perfusion analysis is an important element for the ischemic heart disorder assessment. The spatio-temporal analysis of the myocardial raising during the first crossing of a contrast bolus allows to identify the ischemic or hypoperfused areas. Such an analysis requires an accurate tracking of the myocardium on the whole sequence and a robust segmentation to identify pathological and healthy regions inside the myocardium. In this paper, we present a semiautomatic tracking tool and a segmentation algorithm based on statistical tests and a recent concentration theorem. We show experimental results for both the tracking step and the segmentation of hypoperfused areas to confirm the availability of this setting.
Keywords :
biomedical MRI; cardiology; haemorheology; image segmentation; medical disorders; medical image processing; muscle; spatiotemporal phenomena; statistical testing; MRI myocardial perfusion analysis tool; contrast bolus; hypoperfused areas; ischemic heart disorder assessment; myocardium tracking; segmentation algorithm; semiautomatic tracking tool; spatio-temporal analysis; statistical tests; Algorithms; Contrast Media; Heart; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Motion; Myocardial Perfusion Imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5333479
Filename :
5333479
Link To Document :
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