DocumentCode :
140748
Title :
Left ventricular regional shape dynamics analysis by three-dimensional cardiac magnetic resonance imaging associated with left ventricular function in first-time myocardial infarction patients
Author :
Min Wan ; Teo Soo Kng ; Xulei Yang ; Jun-Mei Zhang ; Xiaodan Zhao ; Wong Sum Thai ; Wan, Calvin Lim Chi ; Liang Zhong ; Ru San Tan ; Yi Su
Author_Institution :
Inst. of High Performance Comput., Fusionopolis, Singapore, Singapore
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
5113
Lastpage :
5116
Abstract :
Geometric remodelling of the left ventricle (LV) following myocardial infarction reflects on the geometric characteristics directly. This study focuses on a potential index based on curvedness. Nine consecutive normal volunteers and thirty consecutive myocardial infarction patients underwent MRI scan (twenty-seven patients had follow-up scan). Short-axis cine images of all cases were delineated. Three dimensional LV models were reconstructed and restored for possible motion distortion. The curvedness values were computed over 16-segments nomenclature. The curvedness signal for each segment over twenty-two time frames were fitted using a second order Fourier Series. Fourier coefficients were extracted and unsupervised learning was conducted between normal and patient data. An accuracy of 89% and adjusted Rand Index of 0.5374 suggest that these Fourier Series and curvedness based features can be an useful index for prognosis and diagnosis in clinical practice.
Keywords :
Fourier analysis; biomedical MRI; cardiology; diseases; image reconstruction; medical image processing; physiological models; unsupervised learning; Fourier coefficient extraction; curvedness based feature extraction; geometric remodelling; left ventricular regional shape dynamic analysis; motion distortion restoration; myocardial infarction patients; second order Fourier series; short-axis cine images; three dimensional left ventricular model reconstruction; three-dimensional cardiac magnetic resonance imaging; unsupervised learning; Computational modeling; Fourier series; Heart; Indexes; Magnetic resonance imaging; Physiology; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944775
Filename :
6944775
Link To Document :
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