FULLY AUTOMATIC CARDIAC SEGMENTATION AND QUANTIFICATION FOR PULMONARY HYPERTENSION ANALYSIS USING MICE CINE MR IMAGES
文献类型： 会议论文
第一作者： Blanca Zufiria
作者： Blanca Zufiria 1 ; Maialen Stephens 1 ; Maria Jesus Sanchez 2 ; Jesus Ruiz-Cabello 2 ; Karen Lopez-Linares 1 ; Ivan Macia 1 ;
作者机构： 1.Vicomtech, Basque Research and Technology Alliance
2.CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), CIBERES, Ikerbasque, Basque Foundation for Science, Departamento de Quimica en Ciencias Farmaceuticas, Universidad Complutense de Madrid
关键词： Automatic segmentation tool;Pulmonary hypertension;MRI;LV;RV;LM;RM
会议名称： IEEE International Symposium on Biomedical Imaging
主办单位：
页码： 1411-1415
摘要： Pulmonary Hypertension (PH) induces anatomical changes in the cardiac muscle that can be quantitativly assessed using Magnetic Resonance (MR). Yet, the extraction of biomarkers relies on the segmentation of the affected structures, which in many cases is performed manually by physicians. Previous approaches have shown successful automatic segmentation results for different heart structures from human cardiac MR images. Nevertheless, the segmentation from mice images is rarely addressed, but it is essential for preclinical studies. Thus, the aim of this work is to develop an automatic tool based on a convolutional neural network for the segmentation of 4 cardiac structures at once in healthy and pathological mice to precisely evaluate biomarkers that may correlate to PH. The obtained automatic segmentations are comparable to manual segmentations, and they improve the distinction between control and pathological cases, especially regarding biomarkers from the right ventricle.
分类号： tp391.41-53
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