Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data
- PMID: 17126065
- DOI: 10.1016/j.media.2006.10.001
Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data
Abstract
A system for automatic segmentation and labeling of the complete rib cage in chest CT scans is presented. The method uses a general framework for automatic detection, recognition and segmentation of objects in three-dimensional medical images. The framework consists of five stages: (1) detection of relevant image structures, (2) construction of image primitives, (3) classification of the primitives, (4) grouping and recognition of classified primitives and (5) full segmentation based on the obtained groups. For this application, first 1D ridges are extracted in 3D data. Then, primitives in the form of line elements are constructed from the ridge voxels. Next a classifier is trained to classify the primitives in foreground (ribs) and background. In the grouping stage centerlines are formed from the foreground primitives and rib numbers are assigned to the centerlines. In the final segmentation stage, the centerlines act as initialization for a seeded region growing algorithm. The method is tested on 20 CT-scans. Of the primitives, 97.5% is classified correctly (sensitivity is 96.8%, specificity is 97.8%). After grouping, 98.4% of the ribs are recognized. The final segmentation is qualitatively evaluated and is very accurate for over 80% of all ribs, with slight errors otherwise.
Similar articles
-
Medical image analysis of 3D CT images based on extension of Haralick texture features.Comput Med Imaging Graph. 2008 Sep;32(6):513-20. doi: 10.1016/j.compmedimag.2008.05.005. Epub 2008 Jul 9. Comput Med Imaging Graph. 2008. PMID: 18614335
-
Automated model-based rib cage segmentation and labeling in CT images.Med Image Comput Comput Assist Interv. 2007;10(Pt 2):195-202. doi: 10.1007/978-3-540-75759-7_24. Med Image Comput Comput Assist Interv. 2007. PMID: 18044569
-
Pulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching.Med Phys. 2007 Apr;34(4):1336-47. doi: 10.1118/1.2712575. Med Phys. 2007. PMID: 17500464 Free PMC article.
-
Computer analysis of computed tomography scans of the lung: a survey.IEEE Trans Med Imaging. 2006 Apr;25(4):385-405. doi: 10.1109/TMI.2005.862753. IEEE Trans Med Imaging. 2006. PMID: 16608056 Review.
-
Multivariate statistical model for 3D image segmentation with application to medical images.J Digit Imaging. 2003 Dec;16(4):365-77. doi: 10.1007/s10278-003-1664-9. Epub 2004 Feb 2. J Digit Imaging. 2003. PMID: 14752607 Free PMC article. Review.
Cited by
-
A Survey on Artificial Intelligence in Pulmonary Imaging.Wiley Interdiscip Rev Data Min Knowl Discov. 2023 Nov-Dec;13(6):e1510. doi: 10.1002/widm.1510. Epub 2023 Jul 7. Wiley Interdiscip Rev Data Min Knowl Discov. 2023. PMID: 38249785
-
Creation of personalised rib prostheses using a statistical shape model and 3D printing: Case report.Front Surg. 2022 Aug 15;9:936638. doi: 10.3389/fsurg.2022.936638. eCollection 2022. Front Surg. 2022. PMID: 36090337 Free PMC article.
-
The Development of an Automatic Rib Sequence Labeling System on Axial Computed Tomography Images with 3-Dimensional Region Growing.Sensors (Basel). 2022 Jun 15;22(12):4530. doi: 10.3390/s22124530. Sensors (Basel). 2022. PMID: 35746310 Free PMC article.
-
Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning.Sensors (Basel). 2022 Apr 20;22(9):3143. doi: 10.3390/s22093143. Sensors (Basel). 2022. PMID: 35590833 Free PMC article.
-
Unsupervised CT Lung Image Segmentation of a Mycobacterium Tuberculosis Infection Model.Sci Rep. 2018 Jun 28;8(1):9802. doi: 10.1038/s41598-018-28100-x. Sci Rep. 2018. PMID: 29955159 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical