12.1.4.9 Fusion of Medical Data, Medical Image Fusion

Chapter Contents (Back)
Fusion. Medical.

Gerlot-Chiron, P.[Pascale], Bizais, Y.[Yves],
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Earlier: CVPR94(496-501).
IEEE DOI BibRef
And:
Rigid and Affine Registration of Smooth Surfaces Using Differential Properties,
ECCV94(B:396-406).
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Arsigny, V.[Vincent], Commowick, O.[Olivier], Ayache, N.J.[Nicholas J.], Pennec, X.[Xavier],
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JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI 0903
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Earlier: A1, A2, A4, A3:
A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration,
WBIR06(120-127).
Springer DOI 0607
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Arsigny, V.[Vincent], Pennec, X.[Xavier],
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Earlier: Title started with "An" ICPR96(III: 533-537).
IEEE DOI 9608
(US Army Res. Labs, USA) Sensor Fusion. Medical, Applications. BibRef

McGregor, B.,
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Studholme, C., Hill, D.L.G., Hawkes, D.J.,
An overlap invariant entropy measure of 3D medical image alignment,
PR(32), No. 1, January 1999, pp. 71-86.
WWW Link. BibRef 9901
Earlier:
Incorporating Connected Region Labelling into Automatic Image Registration Using Mutual Information,
MMBIA96(REGISTRATION I) BibRef
Earlier:
Automated 3D Registration of Truncated MR and CT Images of the Head,
BMVC95(xx-yy).
PDF File. 9509
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Earlier:
Using Voxel Similarity as a Measure of Medical Image Registration,
BMVC94(xx-yy).
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Degen, J., Heinrich, M.P.[Mattias P.],
Multi-Atlas Based Pseudo-CT Synthesis Using Multimodal Image Registration and Local Atlas Fusion Strategies,
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Heinrich, M.P.[Mattias P.], Papiez, B.W.[Bartlomiej W.], Schnabel, J.A.[Julia A.], Handels, H.[Heinz],
Non-parametric Discrete Registration with Convex Optimisation,
WBIR14(51-61).
Springer DOI 1407
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Heinrich, M.P.[Mattias P.], Jenkinson, M.[Mark], Gleeson, F.V.[Fergus V.], Brady, S.M.[Sir Michael], Schnabel, J.A.[Julia A.],
Deformable multimodal registration with gradient orientation based on structure tensors,
BMVA(2011), No. 2, 2011, pp. 1-11.
PDF File. 1209
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Cahill, N.D.[Nathan D.], Schnabel, J.A.[Julia A.], Noble, J.A.[J. Alison], Hawkes, D.J.[David J.],
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Tensor08(1-8).
IEEE DOI 0806
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Edwards, P.J., Hill, D.L.G., Little, J.A., Sahni, V.A.S., Hawkes, D.J.,
Medical Image Registration Incorporating Deformations,
BMVC95(xx-yy).
PDF File. 9509
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Zhuang, X.[Xiahai], Arridge, S., Hawkes, D.J.[David J.], Ourselin, S.[Sebastien],
A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations,
MedImg(30), No. 10, October 2011, pp. 1819-1828.
IEEE DOI 1110
BibRef
Earlier: A1, A3, A4:
Spatial Information Encoded Mutual Information for Nonrigid Registration,
WBIR10(246-257).
Springer DOI 1007
BibRef

Meijering, E.H.W.[Erik H.W.], Zuiderveld, K.J.[Karel J.], Viergever, M.A.[Max A.],
Image Registration for Digital Subtraction Angiography,
IJCV(31), No. 2/3, April 1999, pp. 227-246.
DOI Link BibRef 9904

Hayton, P.M.[Paul M.], Brady, M.[Michael], Smith, S.M.[Stephen M.], Moore, N.[Niall],
A non-rigid registration algorithm for dynamic breast MR images,
AI(114), No. 1-2, October 1999, pp. 125-156.
WWW Link. 0002
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Porter, B.C., Rubens, D.J., Strang, J.G., Smith, J., Totterman, S., Parker, K.J.,
Three-dimensional registration and fusion of ultrasound and MRI using major vessels as fiducial markers,
MedImg(20), No. 4, April 2001, pp. 354-359.
IEEE Top Reference. 0110
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Stefansic, J.D., Herline, A.J., Shyr, Y., Chapman, W.C., Fitzpatrick, J.M., Dawant, B.M., Galloway, Jr., R.L.,
Registration of physical space to laparoscopic image space for use in minimally invasive hepatic surgery,
MedImg(19), No. 10, October 2000, pp. 1012-1023.
IEEE Top Reference. 0110
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Maintz, J.B.A., van den Elsen, P.A., Viergever, M.A.,
Evaluation of Ridge Seeking Operators for Multimodality Medical Image Matching,
PAMI(18), No. 4, April 1996, pp. 353-365.
IEEE DOI 9605
Registration. BibRef
Earlier:
Comparison of Feature-Based Matching of CT and MR Brain Images,
CVRMed95(XX-YY) BibRef

Maintz, J.B.A., van den Elsen, P.A., Viergever, M.A.,
3D multimodality medical image registration using morphological tools,
IVC(19), No. 1-2, January 2001, pp. 53-62.
WWW Link. 0101
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van den Elsen, P.A., van'tZelfde, L., Viergever, M.A.,
Near-Automatic Detection of Arrow-Shaped Markers for CT/MRI Fusion,
ICPR92(I:755-759).
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Kumar, R., Dana, K., Anandan, P., Okamoto, N., Bergen, J.R., Hemler, P., Sumanaweera, T.S., van den Elsen, P.A., Adler, J.,
Frameless registration of MR and CT 3D volumetric data sets,
WACV94(240-248).
IEEE Abstract. 0403
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Meijering, E.H.W.[Erik H.W.], Zuiderveld, K.J.[Karel J.], Niessen, W.J.[Wiro J.], Viergever, M.A.[Max A.],
A Fast Image Registration Technique for Motion Artifact Reduction in DSA,
ICIP99(III:435-439).
IEEE DOI BibRef 9900

Viergever, M.A.[Max A.],
Image registration for motion artifact reduction in digital subtraction angiography,
VideoRegister01(xx-yy). 0106
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Christensen, G.E., Johnson, H.J.,
Consistent image registration,
MedImg(20), No. 7, July 2001, pp. 568-582.
IEEE Top Reference. 0110
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Johnson, H.J., Christensen, G.E.,
Consistent landmark and intensity-based image registration,
MedImg(21), No. 5, May 2002, pp. 450-461.
IEEE Top Reference. 0206
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Christensen, G.E., He, J.,
Consistent Nonlinear Elastic Image Registration,
MMBIA01(xx-yy). 0110
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Studholme, C., Constable, R.T., Duncan, J.S.,
Accurate alignment of functional EPI data to anatomical MRI using a physics-based distortion model,
MedImg(19), No. 11, November 2000, pp. 1115-1127.
IEEE Top Reference. 0110
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Roche, A., Pennec, X., Malandain, G., Ayache, N.J.,
Rigid registration of 3-D ultrasound with MR images: A new approach combining intensity and gradient information,
MedImg(20), No. 10, October 2001, pp. 1038-1049.
IEEE Top Reference. 0111
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Bansal, R., Staib, L.H., Chen, Z.[Zhe], Rangarajan, A., Knisely, J., Nath, R., Duncan, J.S.,
Entropy-based dual-portal-to-3-DCT registration incorporating pixel correlation,
MedImg(22), No. 1, January 2003, pp. 29-49.
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Mattes, D., Haynor, D.R., Vesselle, H., Lewellen, T.K., Eubank, W.,
PET-CT image registration in the chest using free-form deformations,
MedImg(22), No. 1, January 2003, pp. 120-128.
IEEE Top Reference. 0304
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Tsao, J.,
Interpolation artifacts in multimodality image registration based on maximization of mutual information,
MedImg(22), No. 7, July 2003, pp. 854-864.
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And: Correction: MedImg(22), No. 9, September 2003, pp. 1183-1183.
IEEE Abstract. 0309
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Periaswamy, S., Farid, H.,
Elastic registration in the presence of intensity variations,
MedImg(22), No. 7, July 2003, pp. 865-874.
IEEE Abstract. 0308
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Ji, J.X.[Jim Xiuquan], Pan, H.[Hao], Liang, Z.P.[Zhi-Pei],
Further analysis of interpolation effects in mutual information-based image registration,
MedImg(22), No. 9, September 2003, pp. 1131-1140.
IEEE Abstract. 0309
BibRef

Rhode, K.S., Hill, D.L.G., Edwards, P.J., Hipwell, J., Rueckert, D., Sanchez-Ortiz, G.I., Hegde, S., Rahunathan, V., Razavi, R.S.,
Registration and tracking to integrate X-ray and MR images in an XMR facility,
MedImg(22), No. 11, November 2003, pp. 1369-1378.
IEEE Abstract. 0311
BibRef

Livyatan, H., Yaniv, Z., Joskowicz, L.,
Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT,
MedImg(22), No. 11, November 2003, pp. 1395-1406.
IEEE Abstract. 0311
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Tomazevic, D., Likar, B., Slivnik, T., Pernus, F.,
3-D/2-D registration of CT and MR to X-ray images,
MedImg(22), No. 11, November 2003, pp. 1407-1416.
IEEE Abstract. 0311
BibRef

Tomazevic, D., Likar, B., Pernus, F.,
3-D/2-D Registration by Integrating 2-D Information in 3-D,
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IEEE DOI 0601
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Mitrovic, U., Spiclin, Z., Likar, B., Pernus, F.,
3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical Images,
MedImg(32), No. 8, 2013, pp. 1550-1563.
IEEE DOI 1308
3D-2D registration BibRef

Markelj, P.[Primož], Tomazevic, D., Pernuš, F.[Franjo], Likar, B.[Boštjan],
Robust Gradient-Based 3-D/2-D Registration of CT and MR to X-Ray Images,
MedImg(27), No. 12, December 2008, pp. 1704-1714.
IEEE DOI 0812
BibRef

Spiclin, Ž., Likar, B.[Boštjan], Pernuš, F.[Franjo],
Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme,
IP(21), No. 5, May 2012, pp. 2546-2558.
IEEE DOI 1204
See also Fast and Robust 3D to 2D Image Registration by Backprojection of Gradient Covariances. BibRef

Markelj, P.[Primož], Likar, B.[Boštjan], Pernuš, F.[Franjo],
A New Image Database for 3D/2D Registration Based on the Visible Human Data Set,
WBIR10(151-160).
Springer DOI 1007
BibRef

Tang, S.Y.[Song-Yuan], Jiang, T.Z.[Tian-Zi],
Nonrigid registration of medical image by linear singular blending techniques,
PRL(25), No. 4, March 2004, pp. 399-405.
WWW Link. 0402
BibRef

Ryan, N.[Neil], Heneghan, C.[Conor], de Chazal, P.[Philip],
Registration of digital retinal images using landmark correspondence by expectation maximization,
IVC(22), No. 11, 20 September 2004, pp. 883-898.
WWW Link. 0409
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Ryan, N., Heneghan, C.,
Registration of Digital Ophthalmic Images Using Vector Mapping,
ICIP00(Vol II: 459-462).
IEEE DOI 0008
BibRef

Castellanos, N.P., Angel, P.L.D., Medina, V.,
Nonrigid medical image registration technique as a composition of local warpings,
PR(37), No. 11, November 2004, pp. 2141-2154.
WWW Link. 0409
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Russakoff, D.B., Rohlfing, T., Mori, K., Rueckert, D., Ho, A., Adler, Jr., J.R., Maurer, Jr., C.R.,
Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration,
MedImg(24), No. 11, November 2005, pp. 1441-1454.
IEEE DOI 0512
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Russakoff, D.B., Rohlfing, T., Maurer, Jr., C.R.,
Fast intensity-based 2d-3d image registration of clinical data using light fields,
ICCV03(416-422).
IEEE DOI 0311
BibRef

Rohlfing, T.,
Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable,
MedImg(31), No. 2, February 2012, pp. 153-163.
IEEE DOI 1202
BibRef

Wang, C.[Chao], Ye, Z.F.[Zhong-Fu],
First-order fusion of volumetric medical imagery,
VISP(153), No. 2, April 2006, pp. 191-198.
DOI Link 0604
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Wang, C.[Chao], Yang, Q.[Qiong], Tang, X.[Xiaoou], Ye, Z.F.[Zhong-Fu],
Salience Preserving Image Fusion with Dynamic Range Compression,
ICIP06(989-992).
IEEE DOI 0610
BibRef

Skerl, D.[Darko], Likar, B.[Bostjan], and Pernus, F.[Franjo],
A Protocol for Evaluation of Similarity Measures for Rigid Registration,
MedImg(25), No. 6, June 2006, pp. 779-791.
IEEE DOI 0606
BibRef
Earlier:
Evaluation of nine similarity measures used in rigid registration,
ICPR04(III: 794-797).
IEEE DOI 0409
Apply to MRI matching. This protocol estimates a similarity measure's capture range, the number, location and extent of local optima, and the accuracy and distinctiveness of the global optimum. BibRef

Škerl, D.[Darko], Likar, B.[Boštjan], Pernuš, F.[Franjo],
Evaluation of Similarity Measures for Non-rigid Registration,
WBIR06(160-168).
Springer DOI 0607
BibRef

Schmitt, O.[Oliver], Modersitzki, J.[Jan], Heldmann, S.[Stefan], Wirtz, S.[Stefan], Fischer, B.[Bernd],
Image Registration of Sectioned Brains,
IJCV(73), No. 1, June 2007, pp. 5-39.
Springer DOI 0702
BibRef

Modersitzki, J.[Jan], Wirtz, S.[Stefan],
Combining Homogenization and Registration,
WBIR06(257-263).
Springer DOI 0607
BibRef

Moghari, M.H., Abolmaesumi, P.,
Point-Based Rigid-Body Registration Using an Unscented Kalman Filter,
MedImg(26), No. 12, December 2007, pp. 1708-1728.
IEEE DOI 0712
Ultrasound-CT registration. BibRef

Moghari, M.H., Abolmaesumi, P.,
Distribution of Target Registration Error for Anisotropic and Inhomogeneous Fiducial Localization Error,
MedImg(28), No. 6, June 2009, pp. 799-813.
IEEE DOI 0906
BibRef

Moghari, M.H., Abolmaesumi, P.,
Distribution of Fiducial Registration Error in Rigid-Body Point-Based Registration,
MedImg(28), No. 11, November 2009, pp. 1791-1801.
IEEE DOI 0911
BibRef

Moghari, M.H., Abolmaesumi, P.,
Understanding the Effect of Bias in Fiducial Localization Error on Point-Based Rigid-Body Registration,
MedImg(29), No. 10, October 2010, pp. 1730-1738.
IEEE DOI 1011
BibRef

Ma, B., Moghari, M.H., Ellis, R.E., Abolmaesumi, P.,
Estimation of Optimal Fiducial Target Registration Error in the Presence of Heteroscedastic Noise,
MedImg(29), No. 3, March 2010, pp. 708-723.
IEEE DOI 1003
BibRef

Rasoulian, A., Rohling, R., Abolmaesumi, P.,
Group-Wise Registration of Point Sets for Statistical Shape Models,
MedImg(31), No. 11, November 2012, pp. 2025-2034.
IEEE DOI 1211
See also Lumbar Spine Segmentation Using a Statistical Multi-Vertebrae Anatomical Shape+Pose Model. BibRef

de la Torre-Bueno, J.[Jose], McBride, J.[James],
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Cho, Z.H.[Zang-Hee], Kang, C.K.[Chang-Ki], Park, C.A.[Chan-A], Hong, S.M.[Suk-Min], Kim, S.H.[Sang-Hoon], Oh, S.T.[Seung-Taek], Kim, Y.B.[Young-Bo],
Microvascular functional MR angiography with ultra-high-field 7 T MRI: Comparison with BOLD fMRI,
IJIST(22), No. 1, March 2012, pp. 18-22.
DOI Link 1202
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Wong, A.[Alexander], Bishop, W.[William],
Efficient least squares fusion of MRI and CT images using a phase congruency model,
PRL(29), No. 3, 1 February 2008, pp. 173-180.
WWW Link. 0801
Least squares fusion; Multi-modal; MRI; CT; Medical imaging; Phase congruency BibRef

Tustison, N.J.[Nicholas J.], Avants, B.A.[Brian A.], Gee, J.C.[James C.],
Directly Manipulated Free-Form Deformation Image Registration,
IP(18), No. 3, March 2009, pp. 624-635.
IEEE DOI 0903
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Earlier:
Improved FFD B-Spline Image Registration,
MMBIA07(1-8).
IEEE DOI 0710
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Tustison, N.J.[Nicholas J.], Avants, B.B.[Brian B.],
Diffeomorphic Directly Manipulated Free-Form Deformation Image Registration via Vector Field Flows,
WBIR12(31-39).
Springer DOI 1208
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Tustison, N.J.[Nicholas J.], Avants, B.B.[Brian B.], Sundaram, T.A.[Tessa A.], Duda, J.T.[Jeffrey T.], Gee, J.C.[James C.],
A Generalization of Free-Form Deformation Image Registration Within the ITK Finite Element Framework,
WBIR06(238-246).
Springer DOI 0607
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Song, G.[Gang], Avants, B.B.[Brian B.], Gee, J.C.[James C.],
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MMBIA07(1-8).
IEEE DOI 0710
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Metzen, J.H.[Jan Hendrik], Kröger, T.[Tim], Schenk, A.[Andrea], Zidowitz, S.[Stephan], Peitgen, H.O.[Heinz-Otto], Jiang, X.Y.[Xiao-Yi],
Matching of anatomical tree structures for registration of medical images,
IVC(27), No. 7, 4 June 2009, pp. 923-933.
Elsevier DOI 0904
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Earlier:
Matching of Tree Structures for Registration of Medical Images,
GbRPR07(13-24).
Springer DOI 0706
Tree matching; Image registration; Maximum clique BibRef

Hernandez, M.[Monica], Bossa, M.N.[Matias N.], Olmos, S.[Salvador],
Registration of Anatomical Images Using Paths of Diffeomorphisms Parameterized with Stationary Vector Field Flows,
IJCV(85), No. 3, December 2009, pp. xx-yy.
Springer DOI 0911
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Earlier:
Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields,
MMBIA07(1-8).
IEEE DOI 0710
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Zacur, E.[Ernesto], Bossa, M.N.[Matias N.], Olmos, S.[Salvador],
Left-Invariant Riemannian Geodesics on Spatial Transformation Groups,
SIIMS(7), No. 3, 2014, pp. 1503-1557.
DOI Link 1410
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Algorithms for computing the group exponential of diffeomorphisms: Performance evaluation,
MMBIA08(1-8).
IEEE DOI 0806
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Hahn, D.A., Daum, V., Hornegger, J.,
Automatic Parameter Selection for Multimodal Image Registration,
MedImg(29), No. 5, May 2010, pp. 1140-1155.
IEEE DOI 1006
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Li, Y., Verma, R.,
Multichannel Image Registration by Feature-Based Information Fusion,
MedImg(30), No. 3, March 2011, pp. 707-720.
IEEE DOI 1103
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Seshamani, S., Kumar, R., Mullin, G., Dassopoulos, T., Hager, G.D.,
A Meta Method for Image Matching,
MedImg(30), No. 8, August 2011, pp. 1468-1479.
IEEE DOI 1108
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Risser, L.[Laurent], Vialard, F.X.[François-Xavier], Wolz, R., Murgasova, M.[Maria], Holm, D.D.[Darryl D.], Rueckert, D.[Daniel],
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping,
MedImg(30), No. 10, October 2011, pp. 1746-1759.
IEEE DOI 1110
BibRef
Earlier: A1, A2, A4, A5, A6:
Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies,
WBIR10(186-197).
Springer DOI 1007
BibRef

Vialard, F.X.[François-Xavier], Risser, L.[Laurent], Rueckert, D.[Daniel], Cotter, C.J.[Colin J.],
Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation,
IJCV(97), No. 2, April 2012, pp. 229-241.
WWW Link. 1203
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Vialard, F.X.[François-Xavier], Risser, L.[Laurent], Rueckert, D.[Daniel], Holm, D.D.[Darryl D.],
Diffeomorphic Atlas Estimation using Geodesic Shooting on Volumetric Images,
BMVA(2012), No. 5, 2012, pp. 1-12.
PDF File. 1209
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Cotter, C.J.[Colin J.], Clark, A.[Allan], Peiró, J.[Joaquim],
A Reparameterisation Based Approach to Geodesic Constrained Solvers for Curve Matching,
IJCV(99), No. 1, August 2012, pp. 103-121.
Springer DOI 1202
match curves in plane. BibRef

Yin, H.T.[Hai-Tao], Li, S.T.[Shu-Tao],
Joint sparsity model improves multimodal image fusion,
SPIE(Newsroom), January 16, 2012.
DOI Link 1201
A novel multimodal image-fusion method exploits a model that can effectively separate complementary information from source images. BibRef

Landman, B.A., Asman, A.J., Scoggins, A.G., Bogovic, J.A., Xing, F., Prince, J.L.,
Robust Statistical Fusion of Image Labels,
MedImg(31), No. 2, February 2012, pp. 512-522.
IEEE DOI 1202
BibRef

Asman, A.J., Landman, B.A.,
Formulating Spatially Varying Performance in the Statistical Fusion Framework,
MedImg(31), No. 6, June 2012, pp. 1326-1336.
IEEE DOI 1206
BibRef
And: Correction: MedImg(31), No. 7, July 2012, pp. 1505.
IEEE DOI 1208
BibRef

De Nigris, D.[Dante], Collins, D.L.[D. Louis], Arbel, T.[Tal],
Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty,
MedImg(31), No. 12, December 2012, pp. 2343-2354.
IEEE DOI 1212
BibRef

De Nigris, D.[Dante], Collins, D.L.[D. Louis], Arbel, T.[Tal],
SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels,
WBIR14(21-30).
Springer DOI 1407
BibRef

Gallea, R.[Roberto], Ardizzone, E.[Edoardo], Pirrone, R.[Roberto], Gambino, O.[Orazio],
Three-dimensional Fuzzy Kernel Regression framework for registration of medical volume data,
PR(46), No. 11, November 2013, pp. 3000-3016.
Elsevier DOI 1306
Non-rigid registration; Fuzzy regression; Mutual information; Interpolation; GPU computing BibRef

Ardizzone, E.[Edoardo], Gallea, R.[Roberto], Gambino, O.[Orazio], Pirrone, R.[Roberto],
Effective and efficient interpolation for mutual information based multimodality elastic image registration,
NORDIA09(376-381).
IEEE DOI 0910
BibRef
And:
Multi-modal image registration using fuzzy kernel regression,
ICIP09(193-196).
IEEE DOI 0911
BibRef
And:
Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration,
CIAP09(777-786).
Springer DOI 0909
BibRef

Ardizzone, E.[Edoardo], Gambino, O.[Orazio], La Cascia, M.[Marco], lo Presti, L.[Liliana], Pirrone, R.[Roberto],
Multi-modal non-rigid registration of medical images based on mutual information maximization,
CIAP07(743-750).
IEEE DOI 0709
BibRef

Liu, S.Q.[Shuai-Qi], Zhao, J.[Jie], Shi, M.Z.[Ming-Zhu],
Medical image fusion based on improved sum-modified-Laplacian,
IJIST(25), No. 3, 2015, pp. 206-212.
DOI Link 1509
medical image fusion BibRef

Adali, T., Jutten, C., Hansen, L.K.,
Multimodal Data Fusion,
PIEEE(103), No. 9, September 2015, pp. 1445-1448.
IEEE DOI 1509
Scanning the Issue. Introduction. Biomedical imaging BibRef

Lahat, D., Adali, T., Jutten, C.,
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects,
PIEEE(103), No. 9, September 2015, pp. 1449-1477.
IEEE DOI 1509
Survey, Data Fusion. Data integration BibRef

Adali, T., Levin-Schwartz, Y., Calhoun, V.D.,
Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties,
PIEEE(103), No. 9, September 2015, pp. 1478-1493.
IEEE DOI 1509
Brain models BibRef

Adali, T., Levin-Schwartz, Y., Calhoun, V.D.,
Multimodal Data Fusion Using Source Separation: Application to Medical Imaging,
PIEEE(103), No. 9, September 2015, pp. 1494-1506.
IEEE DOI 1509
Biomedical imaging BibRef

Liu, S.[Shuaiqi], Zhang, T.[Tao], Li, H.L.[Hai-Liang], Zhao, J.[Jie], Li, H.[Huiya],
Medical image fusion based on nuclear norm minimization,
IJIST(25), No. 4, 2015, pp. 310-316.
DOI Link 1512
medical image fusion BibRef

Saygili, G., Staring, M., Hendriks, E.A.,
Confidence Estimation for Medical Image Registration Based On Stereo Confidences,
MedImg(35), No. 2, February 2016, pp. 539-549.
IEEE DOI 1602
Accuracy BibRef

Srivastava, R., Prakash, O., Khare, A.,
Local energy-based multimodal medical image fusion in curvelet domain,
IET-CV(10), No. 6, 2016, pp. 513-527.
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curvelet transforms BibRef

Sahu, S.[Sangeeta], Pati, U.C.[Umesh Chandra],
Intensity-based registration of medical images,
IJCVR(6), No. 4, 2016, pp. 319-330.
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Gambhir, D.[Deepak], Manchanda, M.[Meenu],
A Novel Fusion Rule for Medical Image Fusion in Complex Wavelet Transform Domain,
IJIG(16), No. 04, 2016, pp. 1650022.
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IJIST(27), No. 1, 2017, pp. 57-65.
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Tirupal, T.[Talari], Mohan, B.C.[Bhuma Chandra], Kumar, S.S.[Samayamantula Srinivas],
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Du, J., Li, W., Xiao, B.,
Anatomical-Functional Image Fusion by Information of Interest in Local Laplacian Filtering Domain,
IP(26), No. 12, December 2017, pp. 5855-5866.
IEEE DOI 1710
Biomedical imaging, Filtering, Image decomposition, Image edge detection, Image fusion, Laplace equations, Transforms, Image fusion, interest-based rule, multi-scale, decomposition BibRef


Lan, T., Jiang, H., Ding, Y., Qin, Z.,
An Improved Medical Image Registration Algorithm Based on Mutual Information,
ICVISP17(88-93)
IEEE DOI 1712
Signal processing, medical image, moments, mutual information, registration BibRef

Jamil, S., Saman, G.E.,
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ISCV17(1-9)
IEEE DOI 1710
biological tissues, biomedical MRI, cardiology, speeded up robust features, tissue disorders, Feature-based Classification, Image Registration, Medical Images, BibRef

Nawaz, Q., Bin, X., Weisheng, L., Hamid, I.,
Multi-modal medical image fusion using 2DPCA,
ICIVC17(645-649)
IEEE DOI 1708
Algorithm design and analysis, Biomedical imaging, Discrete wavelet transforms, Image resolution, Lead, Principal component analysis, 2DPCA-based image fusion, PCA-based image fusion, multi-modal image fusion, multi-modal, medical image fusion BibRef

Pluim, J.P.W., Muenzing, S.E.A., Eppenhof, K.A.J., Murphy, K.,
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ICPR16(2294-2300)
IEEE DOI 1705
Biomedical imaging, Computers, Gold, Image registration, Measurement, Observers, Standards, evaluation, image registration, validation BibRef

Fu, C., Gadgil, N., Tahboub, K.K., Salama, P., Dunn, K.W., Delp, E.J.,
Four Dimensional Image Registration for Intravital Microscopy,
Microscopy16(1390-1398)
IEEE DOI 1612
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Marstal, K., Berendsen, F., Staring, M., Klein, S.,
SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration,
WBIR16(574-582)
IEEE DOI 1612
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Leng, C., Chen, Z., Cai, G., Cheng, I., Xiong, Z., Tian, J., Basu, A.,
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IVMSP16(1-5)
IEEE DOI 1608
Biomedical imaging BibRef

Borvornvitchotikarn, T., Kurutach, W.,
A taxonomy of mutual information in medical image registration,
WSSIP16(1-4)
IEEE DOI 1608
image classification BibRef

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Quasi-Conformal Hybrid Multi-modality Image Registration and its Application to Medical Image Fusion,
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Biswas, B., Dey, K.N., Chakrabarti, A.,
Medical image registration based on grid matching using Hausdorff Distance and Near set,
ICAPR15(1-5)
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edge detection BibRef

Wang, J.[Jian], Borsdorf, A.[Anja], Heigl, B.[Benno], Kohler, T.[Thomas], Hornegger, J.[Joachim],
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3DV14(293-300)
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ICPR14(1067-1072)
IEEE DOI 1412
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Li, B.[Bicao], Yang, G.[Guanyu], Shu, H.Z.[Hua-Zhong], Coatrieux, J.L.[Jean Louis],
A New Divergence Measure Based on Arimoto Entropy for Medical Image Registration,
ICPR14(3197-3202)
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Entropy BibRef

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Krah, S.B.[Sebastian Bernd], Brauer, J.[Jürgen], Hübner, W.[Wolfgang], Arens, M.[Michael],
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Kee, Y.[Youngwook], Cremers, D.[Daniel], Kim, J.[Junmo],
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DAGM12(347-356).
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A Unified Image Registration Framework for ITK,
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ITK: Insight ToolKit See also Insight Segmentation and Registration Toolkit (ITK). BibRef

Fazel, S.A.A., Gal, Y., Yang, Z.Y.[Zheng-Yi], Vegh, V.,
Qualitative and Quantitave Analysis of Six Image Fusion Methodologies and Their Application to Medical Imaging,
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Yang, Z.Y.[Zheng-Yi], Vegh, V., Reutens, D.C., Pierens, G.K.,
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Das, S.[Sudeb], Kundu, M.K.[Malay Kumar],
Fusion of multimodality Medical Images using combined Activity Level Measurement and Contourlet Transform,
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Zhang, S.M.[Shao-Min], Zhi, L.J.[Li-Jia], Zhao, D.[Dazhe], Zhao, H.[Hong],
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An MRF framework for joint registration and segmentation of natural and perfusion images,
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Rezaei, H.[Hadi], Azadi, S.[Sassan], Ghorbani, M.[Mina],
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Lu, Z.T.[Zhen-Tai], Zhang, M.H.[Ming-Hui], Feng, Q.J.[Qian-Jin], Shi, P.C.[Peng-Cheng], Chen, W.F.[Wu-Fan],
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Zheng, G.Y.[Guo-Yan], Zhang, X.[Xuan],
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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Change Detection -- Image Level .


Last update:Dec 7, 2017 at 17:23:10