Cortical shell unwrapping for vertebral body abnormality detection on computed tomography

Computerized Medical Imaging and Graphics

Volumn 38, Issue 7, 2014, Pages 628-638

  Yao, Jianhua ^a   Burns, Joseph E ^b   Muñoz, Hector ^a   Summers, Ronald M ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Computational spine imaging; Computer aided detection

Indexed keywords

COMPUTERIZED TOMOGRAPHY; DEFORMATION; FRACTURE; MUSCULOSKELETAL SYSTEM; SHELLS (STRUCTURES); SODIUM FLUORIDE; SUPPORT VECTOR MACHINES;

ABNORMALITY DETECTION; COMPUTER AIDED DETECTION; DETECTION PROBLEMS; FALSE POSITIVE; FRACTURE DETECTION; LOADBEARING STRUCTURE; PATTERN RECOGNITION PROBLEMS; VISUAL INSPECTION;

PATTERN RECOGNITION;

SODIUM FLUORIDE;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED EMISSION TOMOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FALSE POSITIVE RESULT; HUMAN; OSTEOPHYTE; QUANTITATIVE DIAGNOSIS; SENSITIVITY AND SPECIFICITY; SPINE FRACTURE; SUPPORT VECTOR MACHINE; VERTEBRA BODY; AGED; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; FEMALE; IMAGE ENHANCEMENT; MALE; PROCEDURES; RADIOGRAPHY; REPRODUCIBILITY; SPONDYLOSIS; THREE DIMENSIONAL IMAGING;

AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; MALE; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINAL FRACTURES; SPINAL OSTEOPHYTOSIS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84908503161     PISSN: 08956111     EISSN: 18790771     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2014.04.001     Document Type: Article

References (31)

1. Smith M., Reed J., Facco R., Hlaing T., McGee A., Hicks B., et al. The reliability of nonreconstructed computerized tomographic scans of the abdomen and pelvis in detecting thoracolumbar spine injuries in blunt trauma. J Bone Joint Surg Am 2009, 91:2342-2349.
2. Klaassen Z., Tubbs R.S., Apaydin N., Hage R., Jordan R., Loukas M. Vertebral spinal osteophytes. Anat Sci Int 2011, 86:1-9.
3. Nathan H. Osteophytes of the vertebral column an anatomical study of their development according to age, race, and sex with considerations as to their etiology and significance. J Bone Joint Surg Am 1962, 44:243-268.
4. Klinder T., Ostermann J., Ehm M., Franz A., Kneser R., Lorenz C. Automated model-based vertebra detection, identification, and segmentation in CT images. Med Image Anal 2009, 13:471-482.
5. O'Connor S.D., Yao J., Summers R.M. Lytic metastases in thoracolumbar spine: computer aided detection at CT - a preliminary study. Radiology 2007, 242:811-816.
6. Skrinskas T., Clemons M., Freedman O., Weller I., Whyne C.M. Automated CT-based analysis to detect changes in the prevalence of lytic bone metastases from breast cancer. Clin Exp Metastasis 2009, 26:97-103.
7. Burns J., Yao J., Wiese T., Munoz H., Jones E., Summers R. Detection of sclerotic metastases in the thoracolumbar spine on computed tomography. Radiology 2013, 268:69-78.
8. Ghosh S., Alomari R.S., Chaudhary V., Dhillon G. Automatic lumbar vertebra segmentation from clinical CT for wedge compression fracture diagnosis. SPIE Med Imaging 2011, 79603.
9. Yao J., Burns J., Wiese T., Summers R.M. Quantitative vertebral compression fracture evaluation using a height compass. SPIE Med Imaging 2012, 83151.
10. Hsieh M.-s., Tsai M.-D., Yeh Y.-D., Jou S.-B. Automatic spinal fracture diagnosis and surgical management based on 3D image analysis and reconstruction of CT transverse sections. Biomed Eng Appl Basis Commun 2002, 14:204-214.
11. Tan S., Yao J., Ward M. Computer aided evaluation of ankylosing spondylitis using high-resolution CT. IEEE Trans Med Imaging 2008, 27:1252-1267.
12. Stanley R.J., Antani S., Long R., Thoma G., Gupta K., Das M. Size-invariant descriptors for detecting regions of abnormal growth in cervical vertebrae. Comput Med Imaging Graph 2008, 32:44-52.
13. Herrmann A.M., Geisler F.H. A new computer-aided technique for analysis of lateral cervical radiographs in postoperative patients with degenerative disease. Spine 2004, 29:1795-1803.
14. Alomari R.S., Corso J.J., Chaudhary V., Dhillon G. Computer-aided diagnosis of lumbar disc pathology from clinical lower spine MRI. Int J CARS 2010, 287-293.
15. Neubert A., Fripp J. Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models. Phys Med 2012, 57:8357-8375.
16. Yao J., Burns J.E., Muñoz H., Summers R.M. Detection of vertebral body fractures based on cortical shell unwrapping. 15th international conference on medical image computing and computer assisted intervention 2012, 509-516.
17. Yao J., Muñoz H.E., Burns J.E., Lu L., Kurdziel K., Choyke P., et al. Computer aided detection of spinal degenerative osteophytes on sodium fluoride PET/CT. MICCAI Workshop, computational methods and clinical applications for spine imaging 2013.
18. Vincent L., Soille P. Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Trans Pattern Anal Mach Intel 1991, 13:583-598.
19. Ibanez L., Schroeder W. ITK software guide 2003, Kitware, Inc.
20. Cormen T.H., Leiserson C.E., Rivest R.L. Introduction to algorithms 1989, McGraw Hill.
21. Ghebreab S., Smeulders A.W.M. Combining strings and necklaces for interactive three-dimensional segmentation of spinal images using an integral deformable spine model. IEEE Trans Biomed Eng 2004, 51:1821-1829.
22. Heitz G., Rohlfing T., Maurer C.R.J. Statistical shape model generation using nonrigid deformation of a template mesh 2005, SPIE, San Diego, CA.
23. Verdonck B., Nijlunsing R., Gerritsen F.A., Cheung J., Wever D.J., Veldhuizen A., et al. Computer assisted quantitative analysis of deformities of the human spine 1998, 822-831. MICCAI, Cambridge, MA.
24. Pizer S.M., Fletcher P.T., Joshi S., Thall A., Chen J.Z., Fridman Y., et al. Deformable M-reps for 3D medical image segmentation. Int J Comput Vis 2003, 55:85-106.
25. Vrtovec T., Likar B., Pernus F. Automated curved planar reformation of 3D spine images. Phys Med Biol 2005, 50:4527-4540.
26. Xu C., Pham D.L., Prince J.L. Medical image segmentation using deformable models. Handbook of medical imaging, vol. 2. Medical image processing and analysis 2000, 129-174. SPIE. M. Sonka, J.M. Fitzpatrick (Eds.).
27. Chambon S., Gourraud C., Moliard J.-M., Nicolle P. Road crack extraction with adapted filtering and Markov model-based segmentation. International joint conference on computer vision theory and applications 2010.
28. Zhang T.Y., Suen C.Y. A fast parallel algorithms for thinning digital patterns. CACM 1984, 27:236-239.
29. Bai X., Latecki L.J., Liu W.-Y. Skeleton pruning by contour partitioning with discrete curve evolution. IEEE Trans Pattern Anal Mach Intel 2007, 29:1-14.
30. Cristianini N., Taylor J.S. An introduction to support vector machines 2000, Cambridge University Press.
31. Histed S.N., Lindenberg M.L., Mena E., Turkbey B., Choyke P.L., Kurdziel K. Review of functional/anatomical imaging in oncology. Nucl Med Commun 2012, 33:349-361.