Automatic Segmentation of Brain Structures for Radiation Therapy Planning
作者： Pierre-Francois D. D'Haese , Valerie Duay , Rui Li , Aloys du Bois d'Aische , Thomas E. Merchant
DOI: 10.1117/12.480392
关键词: Atlas (topology) 、 Set (abstract data type) 、 Artificial intelligence 、 Radiation treatment planning 、 Segmentation 、 Fully automatic 、 Volume (compression) 、 Normal anatomy 、 Computer vision 、 Computer science 、 Automatic segmentation
摘要: Delineation of structures to irradiate (the tumors) as well be spared (e.g., optic nerve, brainstem, or eyes) is required for advanced radiotherapy techniques. Due a lack time and the number patients treated these cannot always segmented accurately which may lead suboptimal plans. A possible solution develop methods identify automatically. This study tests hypothesis that fully automatic, atlas-based segmentation method can used segment most brain needed plans even tough tumors deform normal anatomy substantially. accomplished by registering an atlas with subject volume using combination rigid non-rigid registration algorithms. Segmented in are then mapped corresponding computed transformations. The we propose has been tested on two sets data, i.e., adults children/young adults. For first set contours obtained automatically have compared delineated manually three physicians. other qualitative results presented.
harvard.edu
sci-hub.se 参考文章(16)
M. Bach Cuadra, J. Gomez, P. Hagmann, C. Pollo, J.-G. Villemure, B. M. Dawant, J.-Ph. Thiran, Atlas-Based Segmentation of Pathological Brains Using a Model of Tumor Growth medical image computing and computer assisted intervention. ,vol. 2489, pp. 380- 387 ,(2002) , 10.1007/3-540-45786-0_47
Morten Bro-Nielsen, Claus Gramkow, Fast Fluid Registration of Medical Images VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing. pp. 267- 276 ,(1996) , 10.1007/BFB0046964
Gustavo K. Rohde, Akram Aldroubi, Benoit M. Dawant, Adaptive-bases algorithm for nonrigid image registration Progress in biomedical optics and imaging. ,vol. 4684, pp. 933- 944 ,(2002) , 10.1117/12.467046
Ruzena Bajcsy, Stane Kovačič, Multiresolution elastic matching Graphical Models \/graphical Models and Image Processing \/computer Vision, Graphics, and Image Processing. ,vol. 46, pp. 1- 21 ,(1989) , 10.1016/S0734-189X(89)80014-3
S. Gadamsetty, B. M. Dawant, Shiyan Pan, S. L. Hartmann, Brain Atlas Deformation in the Presence of Small and Large Space-Occupying Tumors Computer Aided Surgery. ,vol. 7, pp. 1- 10 ,(2002) , 10.1002/IGS.10029
F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, P. Suetens, Multimodality image registration by maximization of mutual information IEEE Transactions on Medical Imaging. ,vol. 16, pp. 187- 198 ,(1997) , 10.1109/42.563664
Roger P. Woods, John C. Mazziotta, and Simon R. Cherry, MRI-PET Registration with Automated Algorithm Journal of Computer Assisted Tomography. ,vol. 17, pp. 536- 546 ,(1993) , 10.1097/00004728-199307000-00004
G E Christensen, R D Rabbitt, M I Miller, 3D brain mapping using a deformable neuroanatomy Physics in Medicine and Biology. ,vol. 39, pp. 609- 618 ,(1994) , 10.1088/0031-9155/39/3/022
Charles R. Meyer, Jennifer L. Boes, Boklye Kim, Peyton H. Bland, Kenneth R. Zasadny, Paul V. Kison, Kenneth Koral, Kirk A. Frey, Richard L. Wahl, Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations Medical Image Analysis. ,vol. 1, pp. 195- 206 ,(1997) , 10.1016/S1361-8415(97)85010-4