An integrated visualization system for surgical planning and guidance using image fusion and an open MR.

Autor: Gering, David T., Nabavi, Arya, Kikinis, Ron, Hata, Noby, O'Donnell, Lauren J., Grimson, W. Eric L., Jolesz, Ferenc A., Black, Peter M., Wells, William M., Gering, D T, Nabavi, A, Kikinis, R, Hata, N, O'Donnell, L J, Grimson, W E, Jolesz, F A, Black, P M, Wells, W M 3rd

Publikováno v: Journal of Magnetic Resonance Imaging; Jun2001, Vol. 13 Issue 6, p967-975, 9p

Deep Learning-Based Automatic Segmentation of Lumbosacral Nerves on CT for Spinal Intervention: A Translational Study.

Autor: Fan G; From the Orthopedic Department, Shanghai Tenth People's Hospital (G.F., C.F., D.W., S.H.), Tongji University School of Medicine, Shanghai, China tjhss7418@tongji.edu.cn gfan@tongji.edu.cn.; Department of Spine Surgery (G.F.), Third Affiliated Hospital of Sun Yatsen University, Guangzhou, China.; Surgical Planning Lab (G.F., J.L., W.M.W.), Radiology Department, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts., Liu H; Spinal Pain Research Institute of Tongji University (H.L., C.F., D.W., S.H.), Shanghai, China., Wu Z; School of Data and Computer Science (Z.W.), Sun Yat-sen University, Guangzhou, China., Li Y; Shanghai Jiao Tong University School of Medicine (Y.L.), Shanghai, China., Feng C; From the Orthopedic Department, Shanghai Tenth People's Hospital (G.F., C.F., D.W., S.H.), Tongji University School of Medicine, Shanghai, China.; Spinal Pain Research Institute of Tongji University (H.L., C.F., D.W., S.H.), Shanghai, China., Wang D; From the Orthopedic Department, Shanghai Tenth People's Hospital (G.F., C.F., D.W., S.H.), Tongji University School of Medicine, Shanghai, China.; Spinal Pain Research Institute of Tongji University (H.L., C.F., D.W., S.H.), Shanghai, China., Luo J; Surgical Planning Lab (G.F., J.L., W.M.W.), Radiology Department, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.; Graduate School of Frontier Sciences (J.L.), University of Tokyo, Tokyo, Japan., Wells WM 3rd; Surgical Planning Lab (G.F., J.L., W.M.W.), Radiology Department, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts., He S; From the Orthopedic Department, Shanghai Tenth People's Hospital (G.F., C.F., D.W., S.H.), Tongji University School of Medicine, Shanghai, China tjhss7418@tongji.edu.cn gfan@tongji.edu.cn.; Spinal Pain Research Institute of Tongji University (H.L., C.F., D.W., S.H.), Shanghai, China.

Publikováno v: AJNR. American journal of neuroradiology [AJNR Am J Neuroradiol] 2019 Jun; Vol. 40 (6), pp. 1074-1081. Date of Electronic Publication: 2019 May 30.

Three-dimensional optical flow method for measurement of volumetric brain deformation from intraoperative MR images.

Autor: Hata N; Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. noby@bwh.harvard.edu, Nabavi A, Wells WM 3rd, Warfield SK, Kikinis R, Black PM, Jolesz FA

Publikováno v: Journal of computer assisted tomography [J Comput Assist Tomogr] 2000 Jul-Aug; Vol. 24 (4), pp. 531-8.

Markov random field segmentation of brain MR images.

Autor: Held K; Institute of Medicine, Research Center Jülich GmbH, Germany., Rota Kops E, Krause BJ, Wells WM 3rd, Kikinis R, Müller-Gärtner HW

Publikováno v: IEEE transactions on medical imaging [IEEE Trans Med Imaging] 1997 Dec; Vol. 16 (6), pp. 878-86.

Multi-modal volume registration by maximization of mutual information.

Autor: Wells WM 3rd; Harvard Medical School, Department of Radiology, Boston, MA, USA. sw@ai.mit.edu, Viola P, Atsumi H, Nakajima S, Kikinis R

Publikováno v: Medical image analysis [Med Image Anal] 1996 Mar; Vol. 1 (1), pp. 35-51.