DocumentCode
1771767
Title
Cartilage estimation in noncontrast thoracic CT
Author
Qian Zhao ; Safdar, Nabile ; Yu, Glenna ; Myers, Emmarie ; Koroulakis, Antony ; Duan, Chunzhe ; Sandler, Anthony ; Linguraru, Marius George
Author_Institution
Children´s Nat. Med. Center, Sheikh Zayed Inst. for Pediatric Surg. Innovation, Washington, DC, USA
fYear
2014
fDate
April 29 2014-May 2 2014
Firstpage
409
Lastpage
412
Abstract
Pectus excavatum (PE) is the most common major congenital deformity that involves the lower sternum and cartilages. Noncontrast CT is useful to assess the deformity of the bones and guide minimally invasive surgery. However, it has very poor visibility of cartilages even for the experienced clinicians who need to assess the 3D geometry of cartilages. In this study, we propose a novel method to estimate cartilages in noncontrast CT scans. The ribs and sternum are first segmented using region growing. The skeleton of the ribs is extracted and modeled by cosine series expansion. Then a statistical shape model is built with the cosine coefficients to estimate the cartilages as curves that connect the ribs and sternum. The results are refined by the cartilage surface that is approximated by contracting the skin surface to the bones. Leave-one-out validation was performed on 12 CT scans from healthy and PE subjects. The average distance between the estimated cartilages and ground truth is 1.53 mm. The promising results indicate that our method could estimate the costal cartilages in noncontrast CT effectively and assist to develop an image-based surgical planning system for PE correction.
Keywords
biomechanics; bone; computerised tomography; deformation; feature extraction; image segmentation; medical image processing; physiological models; skin; statistical analysis; 3D cartilage geometry assessment; bone deformity assessment; congenital deformity; cosine series expansion; image-based surgical planning system; minimally invasive surgery; noncontrast thoracic CT; pectus excavatum; region growing; rib skeleton extraction; skin surface; statistical shape model; sternum segmentation; Computed tomography; Ribs; Shape; Skin; Sternum; Three-dimensional displays; Pectus excavatum; cartilage estimation; cosine series representation; statistical shape model;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location
Beijing
Type
conf
DOI
10.1109/ISBI.2014.6867895
Filename
6867895
Link To Document