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Modified distance regularized level set evolution for brain ventricles segmentation

Visual Computing for Industry,Biomedicine,and Art 2020年第1期3卷 329-340页

作者： thirumagal jayaraman Sravan Reddy M Manjunatha Mahadevappa Anup Sadhu Pranab Kumar Dutta School of Medical Science and Technology IIT KharagpurKharagpur 721302India Department of Electronics and Communications JNTUA-College of EngineeringPulivendula 516390India EKO CT&MRI Scan Centre Medical CollegeCalcutta 700073India Department of Electrical Engineering IIT KharagpurKharagpur 721302India

Neurodegenerative disorders are commonly characterized by atrophy of the brain which is caused by neuronal *** are one of the prominent structures in the brain;their shape changes,due to their content,the cerebrospinal *** the morphological changes of ventricles,aids in the diagnosis of atrophy,for which the region of interest needs to be separated from the *** study presents a modified distance regularized level set evolution segmentation method,incorporating regional intensity *** proposed method is implemented for segmenting ventricles from brain images for normal and atrophy subjects of magnetic resonance imaging and computed tomography *** of the proposed method were compared with ground truth images and produced sensitivity in the range of 65%–90%,specificity in the range of 98%–99%,and accuracy in the range of 95%–98%.Peak signal to noise ratio and structural similarity index were also used as performance measures for determining segmentation accuracy:95%and 0.95,*** parameters of level set formulation vary for different *** optimization procedure was followed to fine tune *** proposed method was found to be efficient and robust against noisy *** proposed method is adaptive and multimodal.

关键词： Ventricles Atrophy Segmentation Level set Diagnosis

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