title: Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data.
abstract: Annulus manual segmentation is an important tool for the study of valve anatomy and physiology, for the four main valves of the heart (mitral, tricuspid, aortic and pulmonary). In this paper we review two traditional manual segmentation approaches: slice-by-slice and interpolating a sparse set of landmarks with a spline curve. We propose a new Spline Tool for the open source software platform Seg3D, that is fast and improves spatial coherence by providing visual feedback of the segmentation in real time. The Spline Tool was tested successfully on 14 rat hearts, on all four valves.
authors.affiliation: Computational Biology Group, Computing Laboratory, University of Oxford, Wolfson Building, Parks Rd, OX1 3QD, UK. ramon.casero@comlab.ox.ac.uk
authors.forename: Ramon
authors.initials: R
authors.lastname: Casero
authors.forename: Rebecca A B
authors.initials: RA
authors.lastname: Burton
authors.forename: T
authors.initials: T
authors.lastname: Quinn
authors.forename: Christian
authors.initials: C
authors.lastname: Bollensdorff
authors.forename: Patrick
authors.initials: P
authors.lastname: Hales
authors.forename: Jurgen E
authors.initials: JE
authors.lastname: Schneider
authors.forename: Peter
authors.initials: P
authors.lastname: Kohl
authors.forename: Vicente
authors.initials: V
authors.lastname: Grau
mesh_terms: D000465:Algorithms; D000818:Animals; D005246:Feedback; D006351:Heart Valves / Q000033:anatomy & histology*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D066298:In Vitro Techniques; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D051381:Rats; D017207:Rats, Sprague-Dawley; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014584:User-Computer Interface