DocumentCode :
2805805
Title :
Ventricularwall thickness analysis in acute myocardial infarction and hypertrophic cardiomyopathy
Author :
Sun, Hui ; Tobon-Gomez, Catalina ; Das, Sandhitsu R. ; Huguet, Marina ; Yushkevich, Paul A. ; Frangi, Alejandro F.
Author_Institution :
Dept. of Radiol., Univ. of Pennsylvania, Philadelphia, PA, USA
fYear :
2009
fDate :
June 28 2009-July 1 2009
Firstpage :
670
Lastpage :
673
Abstract :
Ventricular wall thickness and thickening are important biomarkers that are informative about myocardial function, especially for patients suffering from acute myocardial infarction (AMI) and hypertrophic cardiomyopathy (HCM). In this paper, the medial modeling is applied to produce thickness and thickening maps on skeleton meshes, on which surface-based statistical analysis can be directly performed. As an example, the statistics derived from healthy group is used to identify regions with abnormal thickness or thickening in a new patient. Cluster-based analysis is also performed to study the prevalent patterns of thickness and thickening change for AMI and HCM patients in the dataset.
Keywords :
biomedical MRI; cardiology; diseases; image segmentation; medical image processing; pattern clustering; statistical analysis; MRI; acute myocardial infarction; cluster-based analysis; hypertrophic cardiomyopathy; image segmentation; magnetic resonance imaging; medial modeling; skeleton meshes; surface-based statistical analysis; ventricular wall thickness analysis; Ambient intelligence; Biomedical computing; Cardiology; Heart; Image segmentation; Myocardium; Shape; Skeleton; Statistical analysis; Thickness measurement; Acute Myocardial Infarction; Heart wall thickness; Hypertrophic Cardiomyopathy; Shape Analysis; Systolic thickening;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
ISSN :
1945-7928
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2009.5193136
Filename :
5193136
Link To Document :
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