Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields-Reference-Cited by-同舟云学术

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Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields

Published:2017 Issue: Volume: Page:172-185
ISSN:0302-9743
Container-title:Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
language:
Short-container-title:

Author:

Porchetto Roque,Stramana Franco,Paragios Nikos,Ferrante Enzo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-61188-4_16

Reference27 articles.

1. Bao, P., Warmath, J., Galloway, R., Herline, A.: Ultrasound-to-computer-tomography registration for image-guided laparoscopic liver surgery. Surg. Endosc. 19, 424–429 (2005)

2. Birkfellner, W., Figl, M., Kettenbach, J., Hummel, J., Homolka, P., Schernthaner, R., Nau, T., Bergmann, H.: Rigid 2D/3D slice-to-volume registration and its application on fluoroscopic CT images. Med. Phys. 34(1), 246 (2007)

3. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision. IEEE TPAMI 26(9), 1124–1137 (2004)

4. Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23(11), 1222–1239 (2001)

5. Fei, B., Duerk, J.L., Boll, D.T., Lewin, J.S., Wilson, D.L.: Slice-to-volume registration and its potential application to interventional MRI-guided radio-frequency thermal ablation of prostate cancer. IEEE Trans. Med. Imaging 22(4), 515–525 (2003)

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