biostudies-literatureUnknown16(1)Bruse JLHeart Research UKFondation LeducqFP7 integrated project MD-Paedigree - partially funded by the European ComissionNational Institute for Health Research (NIHR)Commonwealth Scholarship Comission<h4>Background</h4>Medical image analysis in clinical practice is commonly carried out on 2D image data, without fully exploiting the detailed 3D anatomical information that is provided by modern non-invasive medical imaging techniques. In this paper, a statistical shape analysis method is presented, which enables the extraction of 3D anatomical shape features from cardiovascular magnetic resonance (CMR) image data, with no need for manual landmarking. The method was applied to repaired aortic coarctation arches that present complex shapes, with the aim of capturing shape features as biomarkers of potential functional relevance. The method is presented from the user-perspective and is evaluated by comparing results with traditional morphometric measurements.<h4>Methods</h4>Steps required tBMC medical imaging40https://www.ebi.ac.uk/biostudies/studies/S-EPMC4894556biostudies-literatureA statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta.PMC4894556Marsden ASchievano Sde Leval MFigliola RCapelli CPennec XSermesant MBruse JLTaylor AFeinstein JVignon-Clementel ITaylor AMKhambadkone SPennati GHlavacek ADubini GMigliavacca FBiglino GNtsinjana HNDorfman AHsia TYMcGregor JBove EModeling of Congenital Hearts Alliance (MOCHA) Collaborative GroupBaker GMcLeod KGiardini AfalseA statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta.<h4>Background</h4>Medical image analysis in clinical practice is commonly carried out on 2D image data, without fully exploiting the detailed 3D anatomical information that is provided by modern non-invasive medical imaging techniques. In this paper, a statistical shape analysis method is presented, which enables the extraction of 3D anatomical shape features from cardiovascular magnetic resonance (CMR) image data, with no need for manual landmarking. The method was applied to repaired aortic coarctation arches that present complex shapes, with the aim of capturing shape features as biomarkers of potential functional relevance. The method is presented from the user-perspective and is evaluated by comparing results with traditional morphometric measurements.<h4>Methods</h4>Steps required t2016-01-01T00:00:00Z2016 May2026-07-09T10:16:43.694Z2026-07-09T10:14:09.205ZS-EPMC48945562724504810.1186/s12880-016-0142-z