NDLI: Automatic Rib Positioning Method in CT Images

Content Provider	IEEE Xplore Digital Library
Author	Hong Li Jun Li Shinong Pan Qiyong Guo Jiren Liu Yan Kang
Copyright Year	2010
Abstract	Efficiently, accurately and automatically positioning the ribs in CT images and giving tips of which rib it is on cross-sectional plane will be very helpful for doctor's clinical diagnosis. This paper presented a new method of automatic rib positioning and extraction in CT images. According to the anatomical characteristics of ribs, the first rib will presents as a sloping line gradually when we slice the sagittal plane images from the subcentral position of the body to the right or left side, while the other ribs will present as small ovals at that time. Based on this feature, we did the Hough transform on a series of sagittal planes and performed an automatic detection to find the first rib. When finding the first rib, the corresponding plane was defined as the Key Saggital Plane (KSP), and we positioned the ribs and defined the initial seed point of each rib on this plane. The rib extraction was a kind of tracing-based one using the initial seeds defined above. We evaluated our method on 21 chest CT data sets, including 11 cases of male and 10 cases of female. The age range was from 18 to 90, among which 12 cases were over the age of 55. Besides, the osteoporosis patients were involved. We tested our algorithms on the PC with XP-Pro/SP2, P4-3.0GHz, 2.0GB Memory. It was proved that the average number of the extracted ribs is 11.5 of each side, and the positioning was correct. From the efficiency point of view, the average number of image slices of one patient was 104, and the running time of the algorithm was 4.95 seconds.
Starting Page	1
Ending Page	4
File Size	339741
Page Count	4
File Format	PDF
ISBN	9781424447121
ISSN	21517622
DOI	10.1109/ICBBE.2010.5517232
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information science Bone tissue Computed tomography Sternum Radiology Data mining Labeling Ribs Biomedical engineering Biomedical imaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic Rib Segmentation in Chest CT Volume Data

An automatic method for rib ordering and pairing in 3D medical images

A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images

Automatic labeling and classification of brain CT images

CT of rib lesions.

Efficient graph cuts based extraction of vertebral column and ribs in lung MDCT images

A thoracic cage coordinate system for recording pathologies in lung CT volume data

Automatic head CT images prescriptions and reformations

Ribcage characterization for FE using automatic CT processing

Automatic Rib Positioning Method in CT Images

Similar Documents

Automatic Rib Segmentation in Chest CT Volume Data

An automatic method for rib ordering and pairing in 3D medical images

A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images

Automatic labeling and classification of brain CT images

CT of rib lesions.

Efficient graph cuts based extraction of vertebral column and ribs in lung MDCT images

A thoracic cage coordinate system for recording pathologies in lung CT volume data

Automatic head CT images prescriptions and reformations

Ribcage characterization for FE using automatic CT processing

Automatic Rib Positioning Method in CT Images