Multimodality non-rigid image registration for planning, targeting and monitoring during CT-guided percutaneous liver tumor cryoablation

Academic Radiology

Volumn 17, Issue 11, 2010, Pages 1334-1344

  Elhawary, Haytham ^a   Oguro, Sota ^a   Tuncali, Kemal ^a   Morrison, Paul R ^a   Tatli, Servet ^a   Shyn, Paul B ^a   Silverman, Stuart G ^a   Hata, Nobuhiko ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

B spline registration; Liver tumor cryoablation; Multimodal registration; Non rigid registration

Indexed keywords

GADOLINIUM PENTETATE;

ADULT; AGED; ALGORITHM; ARTICLE; CLINICAL ARTICLE; COMPUTED TOMOGRAPHY SCANNER; CONTRAST ENHANCEMENT; CRYOABLATION; HUMAN; IMAGE PROCESSING; IMAGE RECONSTRUCTION; INTERMETHOD COMPARISON; INTRAOPERATIVE PERIOD; LIVER TUMOR; MULTIDETECTOR COMPUTED TOMOGRAPHY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RADIOLOGICAL PARAMETERS; TREATMENT PLANNING; TUMOR VOLUME;

AGED; AGED, 80 AND OVER; CRYOSURGERY; FEMALE; HEPATECTOMY; HUMANS; LIVER NEOPLASMS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; SURGERY, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED; TREATMENT OUTCOME;

EID: 77957683622     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2010.06.004     Document Type: Article

References (40)

1. Antoch G., Kuehl H., Vogt F.M., et al. Value of CT volume imaging for optimal placement of radiofrequency ablation probes in liver lesions. J Vasc Interv Radiol 2002, 13:1155-1161.
2. Jakobs T.F., Hoffmann R.T., Schrader A., et al. CT-guided radiofrequency ablation in patients with hepatic metastases from breast cancer. Cardiovasc Intervent Radiol 2009, 32:38-46.
3. Kuehl H., Stattaus J., Forsting M., et al. Transhepatic CT-guided radiofrequency ablation of adrenal metastases from hepatocellular carcinoma. Cardiovasc Intervent Radiol 2008, 31:1210-1214.
4. Ohmoto K., Mimura N., Iguchi Y., et al. CT-guided percutaneous ethanol injection therapy for ultrasonically invisible hepatocellular carcinoma. Hepatogastroenterology 2002, 49:297-299.
5. Sato M., Watanabe Y., Tokui K., et al. CT-guided treatment of ultrasonically invisible hepatocellular carcinoma. Am J Gastroenterol 2000, 95:2102-2106.
6. Shankar S., Bhargava P., Habib F., et al. Transpulmonary CT-guided radiofrequency ablation of liver metastasis. Cardiovasc Intervent Radiol 2005, 28:481-484.
7. Shankar S., Tuncali K., vanSonnenberg E., et al. Myoglobinemia after CT-guided radiofrequency ablation of a hepatic metastasis. AJR Am J Roentgenol 2002, 178:359-361.
8. Park B.J., Byun J.H., Jin Y.H., et al. CT-guided radiofrequency ablation for hepatocellular carcinomas that were undetectable at US: therapeutic effectiveness and safety. J Vasc Interv Radiol 2009, 20:490-499.
9. Silverman S.G., Tuncali K., Morrison P.R. MR imaging-guided percutaneous tumor ablation. Acad Radiol 2005, 12:1100-1109.
10. Clasen S., Pereira P.L. Magnetic resonance guidance for radiofrequency ablation of liver tumors. J Magn Reson Imaging 2008, 27:421-433.
11. Lu D.S., Raman S.S., Vodopich D.J., et al. Effect of vessel size on creation of hepatic radiofrequency lesions in pigs: assessment of the "heat sink" effect. AJR Am J Roentgenol 2002, 178:47-51.
12. Goldberg S.N., Hahn P.F., Tanabe K.K., et al. Percutaneous radiofrequency tissue ablation: does perfusion-mediated tissue cooling limit coagulation necrosis?. J Vasc Interv Radiol 1998, 9:101-111.
13. Mahnken A.H., Buecker A., Spuentrup E., et al. MR-guided radiofrequency ablation of hepatic malignancies at 1.5 T: initial results. J Magn Reson Imaging 2004, 19:342-348.
14. Livraghi T., Solbiati L., Meloni M.F., et al. Treatment of focal liver tumors with percutaneous radio-frequency ablation: complications encountered in a multicenter study. Radiology 2003, 226:441-451.
15. Crum W.R., Hartkens T., Hill D.L.G. Non-rigid image registration: theory and practice. Br J Radiol 2004, 77(suppl):S140-S153.
16. Hill D.L.G., Batchelor P.G., Holden M., et al. Medical image registration. Phys Med Biol 2001, 46:R1-R45.
17. Carrillo A., Duerk J.L., Lewin J.S., et al. Semiautomatic 3-D image registration as applied to interventional MRI liver cancer treatment. IEEE Trans Med Imaging 2000, 19:175-185.
18. Wilson D.L., Carrillo A., Zheng L., et al. Evaluation of 3D image registration as applied to MR-guided thermal treatment of liver cancer. J Magn Reson Imaging 1998, 8:77-84.
19. Penney G.P., Blackall J.M., Hamady M.S., et al. Registration of freehand 3D ultrasound and magnetic resonance liver images. Med Image Anal 2004, 8:81-91.
20. Archip N., Tatli S., Morrison P., et al. non-rigid registration of pre-procedural MR images with intra-procedural unenhanced CT images for improved targeting of tumors during liver radiofrequency ablations. Med Image Comput Computer-Assist Interv 2007, 969-977.
21. Niculescu G, Forand DJ, Nosher J. Non-rigid registration of the liver in consecutive CT studies for assessment of tumor response to radiofrequency ablation. Presented at: Engineering in Medicine and Biology Society: 29th Annual International Conference of the IEEE; 2007.
22. Yen-Wei C, Katsumi T, Rui X, et-al. Semiautomatic non-rigid 3-D image registration for MR-guided liver cancer surgery. Presented at: 15th IEEE International Conference on Image Processing; 2008.
23. Lange T., Wenckebach T.H., Lamecker H., et al. Registration of different phases of contrast-enhanced CT/MRI data for computer-assisted liver surgery planning: Evaluation of state-of-the-art methods. Int J Med Robot Comput Assist Surg 2005, 1:6-20.
24. Rohlfing T., Maurer C.R., O'Dell W.G., et al. Modeling liver motion and deformation during the respiratory cycle using intensity-based nonrigid registration of gated MR images. Med Phys 2004, 31:427-432.
25. Archip N., Clatz O., Whalen S., et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007, 35:609-624.
26. Rueckert D., Sonoda L.I., Hayes C., et al. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 1999, 18:712-721.
27. Wells W., Viola P., Atsumi H., et al. Multi-modal volume registration by maximization of mutual information. Med Image Anal 1996, 1:35-51.
28. Gering D.T., Nabavi A., Kikinis R., et al. An integrated visualization system for surgical planning and guidance using image fusion and an open MR. J Magn Reson Imaging 2001, 13:967-975.
29. Hausdorff F. Set Theory 1962, Chelsea Publication Company, London. 2nd ed.
30. Canny J. A computational approach to edge detection. IEEE Trans Patt Anal Mach Intell 1986, 8:679-698.
31. Bharatha A., Hirose M., Hata N., et al. Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging. Med Phys 2001, 28:2551-2560.
32. Zou K.H., Warfield S.K., Bharatha A., et al. Statistical validation of image segmentation quality based on a spatial overlap index: scientific reports. Acad Radiol 2004, 11:178-189.
33. Morten B-N, Claus G. Fast fluid registration of medical images. Presented at: 4th International Conference on Visualization in Biomedical Computing; 1996.
34. Studholme C., Hill D.L.G., Hawkes D.J. An overlap invariant entropy measure of 3D medical image alignment. Patt Recog 1999, 32:71-86.
35. Thirion J.P. Image matching as a diffusion process: an analogy with Maxwell's demons. Med Image Anal 1998, 2:243-260.
36. Lange T., Eulenstein S., Hunerbein M., et al. Vessel-based non-rigid registration of MR/CT and 3D ultrasound for navigation in liver surgery. Comput Aided Surg 2003, 8:228-240.
37. Heimann T., van Ginneken B., Styner M.A., et al. Comparison and evaluation of methods for liver segmentation from CT datasets. IEEE Trans Med Imaging 2009, 28:1251-1265.
38. Gholipour A, Kehtarnavaz ND. Computationally efficient mutual information estimation for non-rigid image registration. Presented at: IEEE International Conference of Image Processing; 2008.
39. Klein S., Staring M., Pluim J.P.W. Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines. IEEE Trans Image Process 2007, 16:2879-2890.
40. Maes F., Vandermeulen D., Suetens P. Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information. Med Image Anal 1999, 3:373-386.