Title :
Automatic right ventricle segmentation in CT images using a novel multi-scale edge detector approach
Author :
Antunes, Sofia ; Colantoni, Caterina ; Palmisano, Anna ; Esposito, Anna ; Cerutti, Sergio ; Rizzo, Gianluca
Author_Institution :
Dept. of Electron., Inf. & Bioeng., Politec. di Milano, Milan, Italy
Abstract :
We present a novel approach for the automatic segmentation of the right ventricle in CT images. We use a level set with a new multi-scale edge stopping function based on spatial oriented filters. This stopping function reduces false edge detection and over-segmentation. The segmentation method was evaluated over 18 CT image studies from healthy and pathologic subjects; results are compared against manual segmentation made by a team of expert radiologists. The mean surface distance error is below 0.64 mm, which proves the effectiveness of the method.
Keywords :
computerised tomography; edge detection; image segmentation; medical image processing; CT images; automatic right ventricle segmentation; automatic segmentation; false edge detection; manual segmentation; mean surface distance error; multiscale edge detector; multiscale edge stopping function; pathologic subjects; spatial oriented filters; Abstracts; Computational modeling; Image edge detection; Image segmentation; Nonhomogeneous media; Solid modeling; Three-dimensional displays;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2013
Conference_Location :
Zaragoza
Print_ISBN :
978-1-4799-0884-4