A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Accurate Segmentation of the Left Ventricle in Computed Tomography Images for Local Wall Thickness Assessment
[chapter]
2010
Lecture Notes in Computer Science
In recent years, the fully automatic segmentation of the whole heart from three-dimensional (3D) CT or MR images has become feasible with mean surface accuracies in the order of 1mm. The assessment of local myocardial motion and wall thickness for different heart phases requires highly consistent delineation of the involved surfaces. Papillary muscles and misleading pericardial structures lead to challenges that are not easily resolved. This paper presents a framework to train boundary
doi:10.1007/978-3-642-15705-9_49
fatcat:bwkdi4hasffb3nj25a62232doe