LV-Net: 基于解剖学的侧脑室形状建模及其在阿尔茨海默病中的案例研究.pdfVIP

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LV-Net:基于解剖学的侧脑室形状建模及其在阿尔茨海默病中的案例研究

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WonjungPark,SuhyunAhn,JinahPark,fortheAlzheimer’sDiseaseNeuroimagingInitiative,the

AustralianImagingBiomarkersandLifestyleflagshipstudyofageing2

•我们提出了一种从脑结构磁共振成像中重建个体侧脑室形状的自动化框架。

•我们介绍了一种解剖结构感知的联合模板网格，支持鲁棒且解剖学上准确的侧脑室形状建模。

•我们分析了阿尔茨海默病患者与认知正常对照组之间的侧脑室形状差异。

1DatausedinpreparationofthisarticlewereobtainedfromtheAlzheimer’sDiseaseNeuroimagingInitiative(ADNI)database

().Assuch,theinvestigatorswithintheADNIcontributedtothedesignandimplementationofADNIand/orprovided

databutdidnotparticipateinanalysisorwritingofthisreport.AcompletelistingofADNIinvestigatorscanbefoundat:http:

///wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf

本2DatausedinthepreparationofthisarticlewasobtainedfromtheAustralianImagingBiomarkersandLifestyleflagshipstudyofageing

(AIBL)fundedbytheCommonwealthScientificandIndustrialResearchOrganisation(CSIRO)whichwasmadeavailableattheADNI

译database(/ADNI).TheAIBLresearcherscontributeddatabutdidnotparticipateinanalysisorwritingofthisreport.AIBL

中researchersarelistedatwww.aibl.csiro.au.

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LV-Net:基于解剖学的侧脑室形状建模及其在阿尔茨海默病中的案例研究

aaa

WonjungPark,SuhyunAhn,JinahPark,fortheAlzheimer’sDisease

NeuroimagingInitiative3andtheAustralianImagingBiomarkersandLifestyleflagshipstudy

ofageing4

aSchoolofComputing,KAIST,291Daehak-ro,Yuseong-gu,Daejeon,34141,RepublicofKorea

ARTICLEINFO摘要

Keywords:侧脑室（LV）形状分析有望成为神经疾病的一种生物标志物；然而，由于个体之间显著的形态可变

侧脑室性和受