Performance Assessment for Brain MR Imaging Registration Methods

REFERENCES

1. 1.↵
   2. Maes F,
   3. Collignon A,
   4. Vandermeulen D, et al

   . Multimodality image registration by maximization of mutual information. IEEE Trans Med Imaging 1997;16:187–98 doi:10.1109/42.563664 pmid:9101328

   CrossRefPubMedWeb of Science
2. 2.↵
   2. Studholme C,
   3. Hill DL,
   4. Hawkes DJ

   . An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 1999;32:71–86 doi:10.1016/S0031-3203(98)00091-0

   CrossRefWeb of Science
3. 3.↵
   2. Wells WM 3rd.,
   3. Viola P,
   4. Atsumi H, et al

   . Multi-modal volume registration by maximization of mutual information. Med Image Anal 1996;1:35–51 doi:10.1016/S1361-8415(01)80004-9 pmid:9873920

   CrossRefPubMed
4. 4.↵
   2. West J,
   3. Fitzpatrick JM,
   4. Wang MY, et al

   . Comparison and evaluation of retrospective intermodality brain image registration techniques. J Comput Assist Tomogr 1997;21:554–66 doi:10.1097/00004728-199707000-00007 pmid:9216759

   CrossRefPubMedWeb of Science
5. 5.↵
   2. Woods RP,
   3. Grafton ST,
   4. Holmes CJ, et al

   . Automated image registration, I: general methods and intrasubject, intramodality validation. J Comput Assist Tomogr 1998;22:139–52 doi:10.1097/00004728-199801000-00027 pmid:9448779

   CrossRefPubMedWeb of Science
6. 6.↵
   2. Klein A,
   3. Andersson J,
   4. Ardekani BA, et al

   . Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage 2009;46:786–802 doi:10.1016/j.neuroimage.2008.12.037 pmid:19195496

   CrossRefPubMedWeb of Science
7. 7.↵
   2. Hoelper BM,
   3. Soldner F,
   4. Lachner R, et al

   . Enhancing accuracy of magnetic resonance image fusion by defining a volume of interest. Neuroradiology 2003;45:804–09 doi:10.1007/s00234-003-1071-4 pmid:12955369

   CrossRefPubMed
8. 8.↵
   2. Nyúl LG,
   3. Udupa JK,
   4. Saha PK

   . Incorporating a measure of local scale in voxel-based 3-D image registration. IEEE Trans Med Imaging 2003;22:228–37 doi:10.1109/TMI.2002.808358 pmid:12715999

   CrossRefPubMed
9. 9.↵
   2. Grachev ID,
   3. Berdichevsky D,
   4. Rauch SL, et al

   . A method for assessing the accuracy of intersubject registration of the human brain using anatomic landmarks. Neuroimage 1999;9:250–68 pmid:9927554

   CrossRefPubMed
10. 10.↵
    2. Mercier L,
    3. Del Maestro RF,
    4. Petrecca K, et al

    . Online database of clinical MR and ultrasound images of brain tumors. Med Phys 2012;39:3253–61 doi:10.1118/1.4709600 pmid:22755708

    CrossRefPubMed
11. 11.↵
    2. Archip N,
    3. Clatz O,
    4. 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;35:609–24 doi:10.1016/j.neuroimage.2006.11.060 pmid:17289403

    CrossRefPubMed
12. 12.↵
    2. Skerl D,
    3. Likar B,
    4. Pernus F

    . A protocol for evaluation of similarity measures for rigid registration. IEEE Trans Med Imaging 2006;25:779–91 doi:10.1109/TMI.2006.874963 pmid:16768242

    CrossRefPubMed
13. 13.↵
    2. So RW,
    3. Tang TW,
    4. Chung AC

    . Non-rigid image registration of brain magnetic resonance images using graph-cuts. Pattern Recognition 2011;44:2450–67 doi:10.1016/j.patcog.2011.04.008

    CrossRef
14. 14.↵
    2. Siddiqui AM,
    3. Masood A,
    4. Saleem M

    . A locally constrained radial basis function for registration and warping of images. Pattern Recognition Letters 2009;30:377–90 doi:10.1016/j.patrec.2008.11.004

    CrossRef
15. 15.↵
    2. Saad ZS,
    3. Glen DR,
    4. Chen G, et al

    . A new method for improving functional-to-structural MRI alignment using local Pearson correlation. Neuroimage 2009;44:839–48 doi:10.1016/j.neuroimage.2008.09.037 pmid:18976717

    CrossRefPubMedWeb of Science
16. 16.↵
    2. McCormick M,
    3. Liu X,
    4. Jomier J, et al

    . ITK: enabling reproducible research and open science. Front Neuroinform 2014;8:13 doi:10.3389/fninf.2014.00013 pmid:24600387

    CrossRefPubMed
17. 17.↵
    2. Smith SM

    . Fast robust automated brain extraction. Hum Brain Mapp 2002;17:143–55 doi:10.1002/hbm.10062 pmid:12391568

    CrossRefPubMedWeb of Science
18. 18.↵
    2. Fonov V,
    3. Evans AC,
    4. Botteron K, et al

    ; Brain Development Cooperative Group. Unbiased average age-appropriate atlases for pediatric studies. Neuroimage 2011;54:313–27 doi:10.1016/j.neuroimage.2010.07.033 pmid:20656036

    CrossRefPubMedWeb of Science
19. 19.↵
    2. Yushkevich PA,
    3. Piven J,
    4. Hazlett HC, et al

    . User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 2006;31:1116–28 doi:10.1016/j.neuroimage.2006.01.015 pmid:16545965

    CrossRefPubMedWeb of Science
20. 20.↵
    2. Avants BB,
    3. Tustison NJ,
    4. Stauffer M, et al

    . The Insight ToolKit image registration framework. Front Neuroinform 2014;8:44 doi:10.3389/fninf.2014.00044 pmid:24817849

    CrossRefPubMed
21. 21.↵
    2. Hill DL,
    3. Batchelor PG,
    4. Holden M, et al

    . Medical image registration. Phys Med Biol 2001;46:R1–45 doi:10.1088/0031-9155/46/3/201 pmid:11277237

    CrossRefPubMedWeb of Science
22. 22.↵
    2. Maintz JB,
    3. Viergever MA

    . A survey of medical image registration. Med Image Anal 1998;2:1–36 pmid:10638851

    CrossRefPubMed
23. 23.↵
    2. Avants BB,
    3. Tustison NJ,
    4. Song G, et al

    . A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 2011;54:2033–44 doi:10.1016/j.neuroimage.2010.09.025 pmid:20851191

    CrossRefPubMed
24. 24.↵
    2. Brock KK

    ; Deformable Registration Accuracy Consortium. Results of a multi-institution deformable registration accuracy study (MIDRAS). Int J Radiat Oncol Biol Phys 2010;76:583–96 doi:10.1016/j.ijrobp.2009.06.031 pmid:19910137

    CrossRefPubMed
25. 25.↵
    2. Castillo R,
    3. Castillo E,
    4. Guerra R, et al

    . A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets. Phys Med Biol 2009;54:1849–70 doi:10.1088/0031-9155/54/7/001 pmid:19265208

    CrossRefPubMed
26. 26.↵
    2. Li G,
    3. Xie H,
    4. Ning H, et al

    . Correction of motion-induced misalignment in co-registered PET/CT and MRI (T1/T2/FLAIR) head images for stereotactic radiosurgery. J Appl Clin Med Phys 2010;12:58–67 doi:10.1120/jacmp.v12i1.3306 pmid:21330976

    CrossRefPubMed
27. 27.↵
    2. Bechara A,
    3. Van Der Linden M

    . Decision-making and impulse control after frontal lobe injuries. Curr Opin Neurol 2005;18:734–39 doi:10.1097/01.wco.0000194141.56429.3c pmid:16280687

    CrossRefPubMedWeb of Science