Paper Info
Title
A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta.
Abstract
BackgroundMedical 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.
Year
DOI
Venue
2016
10.1186/s12880-016-0142-z
BMC Medical Imaging
Keywords
Field
DocType
Statistical shape model (SSM), 3D Shape analysis, Coarctation of the aorta, Congenital heart disease, Computational modelling
Arch,Coarctation of the aorta,Statistical shape analysis,Aorta.thoracic,Medical imaging,Clinical Practice,Radiology,Medicine,Pathology,Magnetic resonance imaging
Journal
Volume
Issue
ISSN
16
1
1471-2342
Citations 
PageRank 
References 
2
0.37
17
Authors
10
Name
Order
Citations
PageRank
Jan L. Bruse120.37
Kristin McLeod29710.68
Giovanni Biglino320.37
Hopewell N. Ntsinjana460.85
C Capelli591.31
Tain-Yen Hsia681.56
Maxime Sermesant71111122.97
Xavier Pennec85021357.08
Andrew Taylor9142.77
Silvia Schievano10163.67