A Survey of Medical Image Registration
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1 A Survey of Medical Image Registration CT MRI SPECT PET CT X PET PACS [1] / 2D/3D / (feature-based) (intensity-based) (internal feature) (external feature)
2 external marker [2] Andre G [3] 1.5mm 3 2. (internal marker) Hill DL [4] 11 <1mm 1.73mm Meyer CR [5] Maurer CR [6,7] (weighted geometrical features, WGF) 3D [8] 2D/3D 2D 3D [9] 3D CT/PET 3. 2D 3D
3 2D/3D [10] [11,12] Wang Y [13] Krinacou [14] neo-hookean Andresen [15] (diffusion) (Guassian kernel) (geometry-constrained) 1. [16,17] 3D 2. [18] Woods RP [19]
4 2D x y 3. [20,21,22,23] 2D [24] Timothy [25] Fitzpatrick [26] CT MRI PET Evans [27] MRI PET Visible Human CT MRI
5 Golden [1] Maintz JBA, Viergever MA. Asurvey of medical image registration [J]. Medical Image Analysis, 1998, 2(1): 1-36 [2] Maurer CR, Aboutanos GB, Fitzpatrick JM et al. Estimation of accuracy in localizing externally attached markers in multimodal volume head images [J]. Medical Imaging:Image Processing, 1993, 1898: ,SPIE Press [3] Andre G, Wu K. Providing visual information to validate 2-D to 3-D registration [J]. Medical Image Analysis, 2000, 4: [4] Hill DL, Hawkes DJ, Hussain Z, et al. Accurate Frameless Registration of MR and CT Images of the Head: Applications in Surgery and Radiotherapy Planning [J]. Radiology, 1994, 191: [5] Meyer CR, Leichtman GS. Simultaneous Usage of Homologous Point, Lines, and Planes for Optimal, 3-D Linear Registration of Multimodality Imaging Data [J] IEEE Trans Med. Imaging 1995, 14(1): 1-11 [6] Maurer CR, Fitzpatrick JM. Registration of 3-D Image Using Weighted Geometrical Features [J].IEEE Trans Med. Imaging, (6.): [7] Ge Y, Maurer CR, Fitzpatrick JM. Suface-based 3-D image registration using the iterative closest point algorithm with a closet point transform [J]. Medical
6 Imaging:Image Processing, 1996, 2710: ,SPIE Press [8] Hsu L. Automated registration of brain images using edge and surface feature [J].IEEE Engineering in Medicine and Biology, 1999, 11: [9] Chen C, Pelizzari CA, Chen GTY, et al. Image correlation techniques in radiation therapy planning [J]. Comput Med Image Graphics, 1989, 13: [10] Gee JC, Reivicj M, Bajcsy R. Elastically deforming 3D atlas to match anatomical brain images [J]. Computer Assisted Tomography, 1993, 17: [11] Christensen GE, Rabbit RD, Miller MI, et al. Automatic analysis of medical images using a deformable textbook [J]. Computer Assisted Radiology, 1995a: [12] Christensen GE, Rabbit RD, Miller MI, et al. Deformable templates using large deformation Kinematics [J].IEEE Trans on Image Processing, 1996, 5(10): [13] Wang Y, Staib LH. Integrated approaches to non-rigid registration in medical images Workshop on Applications of Computer Vision, Princeton, NJ, 1998, 10: [14] Krinacou SK, Davatzikos C, Zinreich SJ, et al. Nonlinear Elastic Registration of Brain Images with Tumor Pathology using a Biomechanical Model [J]. IEEE Trans. On Medical Imaging, 1999, 18(7): [15] Andresen PR. Non-rigid registration by geometry-constained diffusion [J]. Medical Image Analysis, 2001(5):81-95 [16] Aratan LK. Three-Dimensional Anatomical Model-based Segmentation of MR Brain Image through Principal Axes registration [J]. IEEE Trans. On Biomedical Engineering 1995, 42(11): [17] Atam PD. Iterative principal Axes Registration method for analysis of MR-PET brain images, IEEE Trans. On Biomedical Engineering, 1995, 42(11): [18] Lehmann T, Goerke C, Schmitt W, et al. A retation-extended cepstrum technique optimized by systematic analysis of various sets of X-ray images [J]. Medical Imaging:Image Processing, 1996, 2710: ,SPIE Press [19] Woods RP, Maziiotta JC, Cherry SR, et al. MRI-PET registration with automated algorithm [J]. Comp Assis Tomograph, 1993, 17: [20] Wells WM, Viola P, Kikinis R, et al. Multi-modal volume registration by Maximization of mutual information [J]. Medical Image Analysis, 1996, 1(1):
7 35-51 [21] Meyer CR, Leichtman GS, Brunberg JA,et al. Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin plane spline warped geometric deformations [J]. Medical Image Analysis, 1997, 1(3): [22] Maes F, Multimodality image registration by Maximization of mutual information [J]. IEEE Trans. On Medical Imaging, 1997, 16(2): [23] Maes F, Vandermeulen D, Suetens P. Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information [J]. Medical Image Analysis, 1999, 3(12): [24] West J.Comparison and evalution of retrospective intermodality image registration technique [J]. Medical Imaging:Image Processing, 1996, 2710: ,SPIE Press [25] Timothy GT, Ronald JJ. Accuracy of Registration of PET, SPECT and MR Images of a Brain Phantom [J]. Nucl med 1993, 34(9): [26] Ge Y, Fitzpatrick JM. Retrospective registration of PET and MR brain images: An algorithm and its stereotactic validation [J] J Compute Assistant Tomograph, 1994, 18: [27] Evans AC, Collins DL, Nellin P, et al. Correlative analysis of three-dimessional brain images Computer-intergrates Surgery, Technology and Clinical Applications, 1996, , MIT Press
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