SEGMENTATION OF ENDOCARDIUM BOUNDARY OF THE LEFT VENTRICLE IN INHOMOGENEOUS CARDIAC MAGNETIC RESONANCE IMAGES

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KHAMECHIAN MOHAMMAD BAGHER; SAADATMAND TARZJAN MAHDI

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Journal: SIGNAL AND DATA PROCESSING Year:2014 | Volume:- | Issue:1 (SERIAL 21) Page(s): 19-31

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Title

SEGMENTATION OF ENDOCARDIUM BOUNDARY OF THE LEFT VENTRICLE IN INHOMOGENEOUS CARDIAC MAGNETIC RESONANCE IMAGES

Author(s)

KHAMECHIAN MOHAMMAD BAGHER | SAADATMAND TARZJAN MAHDI | Issue Writer Certificate

Keywords

SEGMENTATIONQ2

CARDIAC MAGNETIC RESONANCE IMAGESQ2

ENDOCARDIUM BOUNDARYQ2

GEOMETRIC ACTIVE CONTOURQ2

LEVEL SETQ2

STOCHASTIC ACTIVE CONTOUR SCHEMEQ2

LOCAL BINARY FITTINGQ2

Abstract

The STOCHASTIC ACTIVE CONTOUR SCHEME (STACS) is a well-known and frequently-used approach for SEGMENTATION of the ENDOCARDIUM BOUNDARY in cardiac magnetic resonance (CMR) images. However, it suffers significant difficulties with image inhomogeneity due to using a region-based term based on the global Gaussian probability density functions of the inner\outer regions of the active contour. On the other hand, the LOCAL BINARY FITTING (LBF) provides suitable results for SEGMENTATION of inhomogeneous regions because of employing a local Gaussian kernel function. In this paper, we propose a new active contour for inhomogeneous CMR images SEGMENTATION by substituting the region-based term of STACS with the corresponding energy functional of LBF. Furthermore, we automatically adjust weighting coefficients of the proposed energy functional according to the simulated annealing algorithm. The performance of the proposed method has been demonstrated on fourteen CMR images. All benchmark images are selected at the end of diastolic\systolic phase of the cardiac cycle. Furthermore, for each benchmark CMR image, the desired boundary was delineated by an expert. Experimental results demonstrated that compared to the GEOMETRIC ACTIVE CONTOUR, active contour without edge and STACS; the proposed method provides significantly superior performance for SEGMENTATION of the ENDOCARDIUM BOUNDARY of left ventricle of the human heart.

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APA: Copy

KHAMECHIAN, MOHAMMAD BAGHER, & SAADATMAND TARZJAN, MAHDI. (2014). SEGMENTATION OF ENDOCARDIUM BOUNDARY OF THE LEFT VENTRICLE IN INHOMOGENEOUS CARDIAC MAGNETIC RESONANCE IMAGES. SIGNAL AND DATA PROCESSING, -(1 (SERIAL 21)), 19-31. SID. https://sid.ir/paper/160923/en

Vancouver: Copy

KHAMECHIAN MOHAMMAD BAGHER, SAADATMAND TARZJAN MAHDI. SEGMENTATION OF ENDOCARDIUM BOUNDARY OF THE LEFT VENTRICLE IN INHOMOGENEOUS CARDIAC MAGNETIC RESONANCE IMAGES. SIGNAL AND DATA PROCESSING[Internet]. 2014;-(1 (SERIAL 21)):19-31. Available from: https://sid.ir/paper/160923/en

IEEE: Copy

MOHAMMAD BAGHER KHAMECHIAN, and MAHDI SAADATMAND TARZJAN, “SEGMENTATION OF ENDOCARDIUM BOUNDARY OF THE LEFT VENTRICLE IN INHOMOGENEOUS CARDIAC MAGNETIC RESONANCE IMAGES,” SIGNAL AND DATA PROCESSING, vol. -, no. 1 (SERIAL 21), pp. 19–31, 2014, [Online]. Available: https://sid.ir/paper/160923/en

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