典型文献
Visual recognition of cardiac pathology based on 3D parametric model reconstruction
文献摘要：
Visual recognition of cardiac images is important for cardiac pathology diagnosis and treatment.Due to the limited availability of annotated datasets,traditional methods usually extract features directly from two-dimensional slices of three-dimensional(3D)heart images,followed by pathological classification.This process may not ensure the overall anatomical consistency in 3D heart.A new method for classification of cardiac pathology is therefore proposed based on 3D parametric model reconstruction.First,3D heart models are reconstructed based on multiple 3D volumes of cardiac imaging data at the end-systole(ES)and end-diastole(ED)phases.Next,based on these reconstructed 3D hearts,3D parametric models are constructed through the statistical shape model(SSM),and then the heart data are augmented via the variation in shape parameters of one 3D parametric model with visual knowledge constraints.Finally,shape and motion features of 3D heart models across two phases are extracted to classify cardiac pathology.Comprehensive experiments on the automated cardiac diagnosis challenge(ACDC)dataset of the Statistical Atlases and Computational Modelling of the Heart(STACOM)workshop confirm the superior performance and efficiency of this proposed approach.
文献关键词：
中图分类号：
作者姓名：
Jinxiao XIAO;Yansong LI;Yun TIAN;Dongrong XU;Penghui LI;Shifeng ZHAO;Yunhe PAN
作者机构：
School of Artificial Intelligence,Beijing Normal University,Beijing 100875,China;Department of Psychiatry,Columbia University&New York State Psychiatric Institute,New York 10032,USA;College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China
文献出处：
引用格式：
[1]Jinxiao XIAO;Yansong LI;Yun TIAN;Dongrong XU;Penghui LI;Shifeng ZHAO;Yunhe PAN-.Visual recognition of cardiac pathology based on 3D parametric model reconstruction)[J].信息与电子工程前沿（英文）,2022(09):1324-1337
A类：
Atlases,STACOM
B类：
Visual,recognition,cardiac,pathology,parametric,reconstruction,images,important,diagnosis,treatment,Due,limited,availability,annotated,datasets,traditional,methods,usually,features,directly,from,two,dimensional,slices,three,followed,by,pathological,classification,This,process,may,ensure,overall,anatomical,consistency,new,therefore,proposed,First,models,are,reconstructed,multiple,volumes,imaging,end,systole,ES,diastole,ED,phases,Next,these,hearts,through,statistical,shape,SSM,then,augmented,via,variation,parameters,one,visual,knowledge,constraints,Finally,motion,across,extracted,classify,Comprehensive,experiments,automated,challenge,ACDC,Statistical,Computational,Modelling,Heart,workshop,confirm,superior,performance,efficiency,this,approach
AB值：
0.55101
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