Bone segmentation and fracture detection in ultrasound using 3D local phase features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 287-295

  Hacihaliloglu, Ilker ^a   Abugharbieh, Rafeef ^a   Hodgson, Antony ^b   Rohling, Robert ^a,b  

^a Department of Electrical and Computer Engineering ^*  (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

3D Log Gabor filters; 3D phase symmetry; 3D ultrasound; Bone segmentation; Local phase features

Indexed keywords

3D LOG-GABOR FILTERS; 3D PHASE SYMMETRY; 3D ULTRASOUND; BONE SEGMENTATION; LOCAL PHASE FEATURES;

ACOUSTIC WAVES; BONE; COMPUTER SCIENCE; FEATURE EXTRACTION; FILTER BANKS; IMAGE PROCESSING; MEDICAL COMPUTING; PHASE INTERFACES; TWO DIMENSIONAL; ULTRASONIC APPLICATIONS; ULTRASONIC IMAGING; ULTRASONICS;

THREE DIMENSIONAL;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BONE; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; FRACTURE; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SWINE; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; BONE AND BONES; FRACTURES, BONE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SWINE; ULTRASONOGRAPHY;

EID: 79551689694     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_35     Document Type: Conference Paper

References (13)

1. Hanel, D.P., Jones, M.D., Trumble, T.E.: Wrist fractures. Orthop. Clin. North. Am. 33(1), 35-57 (2002)
2. Coppola, P.T., Coppola, M.: Emergency department evaluation and treatment of pelvic fractures. Emergency Medicine Clinics of North America 18(1). 1-27 (2000)
3. Jain, A.K., Taylor, R.H.: Understanding bone responses in B-mode ultrasound images and automatic bone surface extraction using a bayesian probabilistic framework. In: Proc. of SPIE Medical Imaging, pp. 131-142 (2004)
4. Barrait, D.C. Penney, P.G., Chan, S.K., Slomczykowski, M., Carter, T.J., Edwards, P.J., Hawkes, D.J.: Self calibrating 3D-ultrasound-based bone registration for minimally invasive orthopaedic surgery. IEEE Transactions on Medical Imaging 25, 312-323 (2006)
5. Kowal, J., Amstutz, C. Langlotz, F., Talib, H., Ballester, M.G.: Automated bone contour detection in ultrasound B-mode images for minimally invasive registration in computer assisted surgery an in vitro evaluation. The International Journal of Medical Robotics and Computer Assisted Surgery, 341-348 (2007)
6. Daanen, V., Tonetti, J., Troccaz, J.: A fully automated method for the delineation of osseous interface in ultrasound images. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 549-557. Springer. Heidelberg (2004)
7. Amin, D.V., Kanade, T., Digioia, A.M., Jaramaz, B.: Ultrasound registration of the bone surface for surgical navigation. Journal of Computer Aided Surgery 8, 1-16 (2003)
8. Mulet-Parada, M., Noble, J.A.: 2D+T boundary detection in echocardiography. Medical Image Analysis 4(1). 21-30 (2000)
9. Hacihaliloglu, I., Abugharbieh, R., Hodgson, A.J., Rohling, R.N.: Enhancement of bone surface visualization from 3D ultrasound based on local phase information. In: Proc. IEEE Ultrasonics Symposium, pp. 21-24 (2006)
10. Kovesi, P.: Symmetry and Asymmetry from Local Phase, AI 1997. In: Tenth Australian Joint Conference on Artificial Intellegence, pp. 185-190 (1997)
11. Dosil, R., Pardo, X.M., Fernandez-Vidal, X.R.: Data driven synthesis of composite feature detectors for 3D image analysis. Journal of Image and Vision Computing, 225-238 (2006)
12. Kovesi, P.: Image Features From Phase Congruency. Videre: A Journal of Computer Vision Research (1999)
13. Phillips, R.: The accuracy of surgical navigation for othopaedic surgery. Current Orthopaedics, 180-192 (2007)