DocumentCode :
1772134
Title :
Patient-customized 3D reconstruction of human ribs from lung MDCT dataset
Author :
Pazokifard, Banafsheh ; Sowmya, Arcot ; Moses, Daniel
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2014
fDate :
April 29 2014-May 2 2014
Firstpage :
1131
Lastpage :
1135
Abstract :
An accurate algorithm for 3D rib reconstruction of an individual patient is presented. Segmented ribs are reconstructed in a cylindrical coordinate system, based on available knowledge of human rib geometry. Each rib is reconstructed individually using data from multidetector computed tomography (MDCT) images, which provides geometrical data including unique angle, length, curvature and mass. The proposed algorithm was tested on the datasets from 15 patients. Qualitative and quantitative evaluations show high similarity between reconstruction results and reference masks provided by an experienced radiologist.
Keywords :
computerised tomography; image reconstruction; image segmentation; lung; medical image processing; curvature; cylindrical coordinate system; geometrical data; human rib geometry; length; lung MDCT dataset; mass; multidetector computed tomography; patient-customized 3D rib reconstruction; reference masks; segmented ribs; unique angle; Geometry; Image reconstruction; Image segmentation; Ribs; Shape; Smoothing methods; Three-dimensional displays; 3D; MDCT; Reconstruction; anatomically-faithful; automatic; geometry; patient-customized; rib;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ISBI.2014.6868074
Filename :
6868074
Link To Document :
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