Multi-modal registration of speckle-tracked freehand 3D ultrasound to CT in the lumbar spine

Medical Image Analysis

Volumn 16, Issue 3, 2012, Pages 675-686

  Lang, Andrew ^a   Mousavi, Parvin ^a   Gill, Sean ^a   Fichtinger, Gabor ^a   Abolmaesumi, Purang ^a,b  

^a QUEEN S UNIVERSITY   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Drift correction; Freehand ultrasound; Image guided intervention; Registration; Speckle tracking

Indexed keywords

DRIFT CORRECTION; FREEHAND ULTRASOUND; IMAGE-GUIDED INTERVENTION; REGISTRATION; SPECKLE TRACKING;

THREE DIMENSIONAL; ULTRASONICS;

SPECKLE;

AGAR; CELLULOSE; GLYCEROL;

ACCURACY; ALGORITHM; ANALYTICAL ERROR; ARTICLE; CADAVER; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; DEVICES; FLUOROSCOPY; HUMAN; IMAGE RECONSTRUCTION; INJECTION; INTERMETHOD COMPARISON; LAMB; LOW BACK PAIN; LUMBAR SPINE; MACHINE; MATERIALS; NONHUMAN; PHANTOM; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; SPECKLE TRACKED FREEHAND THREE DIMENSIONAL ULTRASOUND; SPECKLE TRACKING; SPINE; THREE DIMENSIONAL IMAGING; ULTRASOUND;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; ELASTICITY IMAGING TECHNIQUES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LUMBAR VERTEBRAE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SHEEP; SUBTRACTION TECHNIQUE; SURGERY, COMPUTER-ASSISTED;

EID: 84858070326     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2011.07.006     Document Type: Article

References (34)

1. Arun K.S., Huang T.S., Blostein S.D. Least-squares fitting of two 3-D point sets. IEEE Transactions on Pattern Analysis and Machine Intelligence 1987, 9(5):698-700.
2. Barratt D.C., Penney G., Chan C.S., Slomczykowski M., Carter T.J., Edwards P.J., Hawkes D.J. Self-calibrating ultrasound-to-CT bone registration. Lecture Notes in Computer Science 2005, vol. 3749:605-612. Springer.
3. Besl P., McKay H. A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 1992, 14(2):239-256.
4. Chen J.F., Fowlkes J.B., Carson P.L., Rubin J.M. Determination of scan-plane motion using speckle decorrelation: theoretical considerations and initial test. International Journal of Imaging Systems and Technology 1997, 8(1):38-44.
5. Chen T.K., Abolmaesumi P., Thurston A.D., Ellis R.E. Automated 3D freehand ultrasound calibration with real-time accuracy control. Lecture Notes in Computer Science 2006, vol. 4190:899-906. Springer.
6. Datta S., Lee M., Falco F.J., Bryce D.A., Hayek S.M. Systematic assessment of diagnostic accuracy and therapeutic utility of lumbar facet joint interventions. Pain Physician 2009, 12:437-460.
7. Fenster A., Downey D.B., Cardinal H.N. Three-dimensional ultrasound imaging. Physics in Medicine and Biology 2001, 46(5):R67-R99.
8. Fitzpatrick J., West J., Maurer C.R. Predicting error in rigid-body point-based registration. IEEE Transactions on Medical Imaging 1998, 17(5):694-702.
9. Gee A.H., Housden R.J., Hassenpflug P., Treece G.M., Prager R.W. Sensorless freehand 3D ultrasound in real tissue: speckle decorrelation without fully developed speckle. Medical Image Analysis 2006, 10(2):137-149.
10. Gill, S., Mousavi, P., Fichtinger, G., Pichora, D., Abolmaesumi, P. 2009a. Group-wise registration of ultrasound to CT images of human vertebrae. In: Proceedings of SPIE Medical Imaging: Visualization, Image-Guided Procedures, and Modeling, vol. 7261. Lake Buena Vista, FL, USA, p. 72611O.
11. Gill S., Mousavi P., Fichtinger G., Boisvert J., Chen E., Pichora D., Abolmaesumi P. Biomechanically constrained groupwise US to CT registration of the lumbar spine. Lecture Notes in Computer Science 2009, vol. 5761:803-810. Springer.
12. Hansen N. The CMA evolution strategy: a comparing review. Advances on Estimation of Distribution Algorithms 2006, 75-102. Springer. J.A. Lozano, P. Larranaga, I. Inza, E. Bengoetxea (Eds.).
13. Hassenpflug P., Prager R.W., Treece G.M., Gee A.H. Speckle classification for sensorless freehand 3D ultrasound. Ultrasound in Medicine and Biology 2005, 31(11):1499-1508.
14. Herring J., Dawant B., Maurer C.R., Muratore D., Galloway R., Fitzpatrick J. Surface-based registration of CT images to physical space for image-guided surgery of the spine: a sensitivity study. IEEE Transactions on Medical Imaging 1998, 17(5):743-752.
15. Housden R.J., Gee A.H., Treece G.M., Prager R.W. Subsample interpolation strategies for sensorless freehand 3D ultrasound. Ultrasound in Medicine and Biology 2006, 32(12):1897-1904.
16. Housden R.J., Gee A.H., Treece G.M., Prager R.W. Sensorless reconstruction of unconstrained freehand 3D ultrasound data. Ultrasound in Medicine and Biology 2007, 33(3):408-419.
17. Housden R., Treece G., Gee A., Prager R. Calibration of an orientation sensor for freehand 3D ultrasound and its use in a hybrid acquisition system. BioMedical Engineering OnLine 2008, 7(1):5.
18. Housden R., Gee A.H., Prager R.W., Treece G.M. Rotational motion in sensorless freehand three-dimensional ultrasound. Ultrasonics 2008, 48(5):412-422.
19. Kerby, B., Rohling, R., Nair, V., Abolmaesumi, P. 2008. Automatic identification of lumbar level with ultrasound. In: IEEE Engineering in Medicine and Biology, pp. 2980-2983.
20. Krupa, A., Fichtinger, G., Hager, G. 2007. Full motion tracking in ultrasound using image speckle information and visual servoing. In: IEEE International Conference on Robotics and Automation, Roma, Italy, pp. 2458-2464.
21. Kutter O., Shams R., Navab N. Visualization and GPU-accelerated simulation of medical ultrasound from CT images. Computer Methods and Programs in Biomedicine 2009, 94(3):250-266.
22. Lang, A., Mousavi, P., Fichtinger, G., Abolmaesumi, P. 2009. Fusion of electromagnetic tracking with speckle-tracked 3D freehand ultrasound using an unscented Kalman filter. In: Proceedings of SPIE Medical Imaging: Visualization, Image-Guided Procedures, and Modeling, vol. 7265. Lake Buena Vista, FL, USA, p. 72651A.
23. Laporte C., Arbel T. Combinatorial and probabilistic fusion of noisy correlation measurements for untracked freehand 3D ultrasound. IEEE Transactions on Medical Imaging 2008, 27(7):984-994.
24. Madsen E.L., Hobson M.A., Shi H., Varghese T., Frank G.R. Tissue-mimicking agar/gelatin materials for use in heterogeneous elastography phantoms. Physics in Medicine and Biology 2005, 50(23):5597-5618.
25. Moghari M.H., Abolmaesumi P. A novel incremental technique for ultrasound to CT bone surface registration using unscented Kalman filtering. Lecture Notes in Computer Science 2005, vol. 3750:197-204. Springer.
26. Muratore D.M., Russ J.H., Dawant B.M., Robert J., Galloway L. Three-dimensional image registration of phantom vertebrae for image-guided surgery: A preliminary study. Computer Assisted Surgery 2002, 7(6):342-352.
27. Penney G., Barratt D., Chan C., Slomczykowski M., Carter T., Edwards P., Hawkes D. Cadaver validation of intensity-based ultrasound to CT registration. Medical Image Analysis 2006, 10(3):385-395.
28. Rivaz, H., Zellars, R., Hager, G., Fichtinger, G., Boctor, E. 2007. Beam steering approach for speckle characterization and out-of-plane motion estimation in real tissue. In: Proceedings of IEEE International Ultrasonics Symposium, pp. 781-784.
29. Shams R., Hartley R., Navab N. Real-time simulation of medical ultrasound from CT images. Lecture Notes in Computer Science 2008, vol. 5242:734-741. Springer.
30. Tuthill T., Krucker J., Fowlkes J., Carson P. Automated three-dimensional US frame positioning computed from elevational speckle decorrelation. Radiology 1998, 209(2):575-582.
31. Wein W., Brunke S., Khamene A., Callstrom M., Navab N. Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention. Medical Image Analysis 2008, 12:577-585.
32. Weng L., Tirumalai A., Lowery C., Nock L., Gustafson D., Von Behren P., Kim J. US extended-field-of-view imaging technology. Radiology 1997, 203(3):877-880.
33. Winter S., Brendel B., Pechlivanis I., Schmieder K., Igel C. Registration of CT and intraoperative 3-D ultrasound images of the spine using evolutionary and gradient-based methods. IEEE Transactions on Evolutionary Computation 2008, 12(3):284-296.
34. Yushkevich P.A., Piven J., Cody Hazlett H., Gimpel Smith R., Ho S., Gee J.C., Gerig G. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 2006, 31(3):1116-1128.