21.11.1.2 Diffusion Tensor Imaging

Chapter Contents (Back)
>Diffusion Tensor Imaging.
See also Diffusion Process, Diffusion Operators, Mechanism, or Technique.

Chen, Y., Levine, S.E.,
Image Recovery via Diffusion Tensor and Time-Delay Regularization,
JVCIR(13), No. 1/2, March/June 2002, pp. 156-175.
DOI Link 0204
BibRef

van Hecke, W., Leemans, A., d'Agostino, E., de Backer, S., Vandervliet, E., Parizel, P.M., Sijbers, J.,
Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous Fluid Model and Mutual Information,
MedImg(26), No. 11, November 2007, pp. 1598-1612.
IEEE DOI 0709
BibRef

Koay, C.G.[Cheng Guan], Chang, L.C.[Lin-Ching], Pierpaoli, C.[Carlo], Basser, P.J.[Peter J.],
Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations,
MedImg(26), No. 8, August 2007, pp. 1017-1034.
IEEE DOI 0709
BibRef
And: Erratum: MedImg(26), No. 10, October 2007, pp. 1424-1424.
IEEE DOI 0711
BibRef

Zhang, H., Avants, B.B., Yushkevich, P.A., Woo, J.H., Wang, S., McCluskey, L.F., Elman, L.B., Melhem, E.R., Gee, J.C.,
High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral Sclerosis,
MedImg(26), No. 11, November 2007, pp. 1585-1597.
IEEE DOI 0709
BibRef

Koay, C.G., Nevo, U., Chang, L.C., Pierpaoli, C., Basser, P.J.,
The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging,
MedImg(27), No. 6, June 2008, pp. 834-846.
IEEE DOI 0711
BibRef

Jones, D.K.,
Tractography Gone Wild: Probabilistic Fibre Tracking Using the Wild Bootstrap With Diffusion Tensor MRI,
MedImg(27), No. 9, September 2008, pp. 1268-1274.
IEEE DOI 0809
BibRef

Xu, Q.[Qing], Anderson, A.W.[Adam W.], Gore, J.C.[John C.], Ding, Z.H.[Zhao-Hua],
Unified Bundling and Registration of Brain White Matter Fibers,
MedImg(28), No. 9, September 2009, pp. 1399-1411.
IEEE DOI 0909
BibRef
Earlier:
Diffusion Tensor Image Smoothing Using Efficient and Effective Anisotropic Filtering,
MMBIA07(1-6).
IEEE DOI 0710
BibRef

Hageman, N.S., Toga, A.W., Narr, K.L., Shattuck, D.W.,
A Diffusion Tensor Imaging Tractography Algorithm Based on Navier-Stokes Fluid Mechanics,
MedImg(28), No. 3, March 2009, pp. 348-360.
IEEE DOI 0903
BibRef

Astola, L.[Laura], Fuster, A.[Andrea], Florack, L.M.J.[Luc M.J.],
A Riemannian Scalar Measure for Diffusion Tensor Images,
PR(44), No. 9, September 2011, pp. 1885-1891.
Elsevier DOI 1106
BibRef
Earlier: A2, A1, A3: Fuster, A.[Andrea], Astola, L.[Laura], Florack, L.M.J.[Luc M.J.], CAIP09(419-426).
Springer DOI 0909
Riemann geometry, Diffusion tensor imaging, Ricci scalar, Finsler geometry, High angular resolution diffusion imaging BibRef

Astola, L.[Laura], Florack, L.M.J.[Luc M.J.],
Sticky vector fields, and other geometric measures on diffusion tensor images,
MMBIA08(1-7).
IEEE DOI 0806
BibRef

Florack, L.M.J.[Luc M.J.], Astola, L.[Laura],
A multi-resolution framework for diffusion tensor images,
Tensor08(1-7).
IEEE DOI 0806
BibRef

Darki, F.[Fahimeh], Oghabian, M.A.[Mohammad Ali], Ahmadian, A.[Alireza], Zadeh, H.S.[Hamid Soltanian], Zarei, M.[Mojtaba],
Fractional anisotropy-weighted front evolution algorithm for white matter tractography based on diffusion tensor imaging data,
IJIST(21), No. 4, December 2011, pp. 307-314.
DOI Link 1112
BibRef

Sepasian, N., ten Thije Boonkkamp, J.H.M., Ter Haar Romeny, B.M., Vilanova, A.,
Multivalued Geodesic Ray-Tracing for Computing Brain Connections Using Diffusion Tensor Imaging,
SIIMS(5), No. 2 2012, pp. 483.
DOI Link 1205
BibRef

Jespersen, S.N., Leigland, L.A., Cornea, A., Kroenke, C.D.,
Determination of Axonal and Dendritic Orientation Distributions Within the Developing Cerebral Cortex by Diffusion Tensor Imaging,
MedImg(31), No. 1, January 2012, pp. 16-32.
IEEE DOI 1201
BibRef

Liu, F.[Feng], Liu, J.B.[Jing-Bo],
Anisotropic diffusion for image denoising based on diffusion tensors,
JVCIR(23), No. 3, April 2012, pp. 516-521.
Elsevier DOI 1203
Image denoising; Anisotropic diffusion; Nonlinear diffusion; Diffusion tensor; Diffusion filter; Diffusion direction; Diffusion amount; Multi-scale method BibRef

Valkonen, T.[Tuomo], Bredies, K.[Kristian], Knoll, F.[Florian],
Total Generalized Variation in Diffusion Tensor Imaging,
SIIMS(6), No. 1, 2013, pp. 487-525.
DOI Link 1304

See also Total Generalized Variation. BibRef

Chen, H., Li, K., Zhu, D., Jiang, X., Yuan, Y., Lv, P., Zhang, T., Guo, L., Shen, D., Liu, T.,
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering,
MedImg(32), No. 9, 2013, pp. 1576-1586.
IEEE DOI 1309
Diffusion tensor imaging (DTI) BibRef

Chen, Y., Dai, Y., Han, D., Sun, W.,
Positive Semidefinite Generalized Diffusion Tensor Imaging via Quadratic Semidefinite Programming,
SIIMS(6), No. 3, 2013, pp. 1531-1552.
DOI Link 1310
BibRef

Fogtmann, M., Seshamani, S., Kroenke, C., Cheng, X.[Xi], Chapman, T., Wilm, J., Rousseau, F., Studholme, C.,
A Unified Approach to Diffusion Direction Sensitive Slice Registration and 3-D DTI Reconstruction From Moving Fetal Brain Anatomy,
MedImg(33), No. 2, February 2014, pp. 272-289.
IEEE DOI 1403
biodiffusion BibRef

Jiang, S.[Shan], Zhang, P.F.[Peng-Fei],
Comprehensive and quantitative study of rank-4 order diffusion tensor imaging and positive definite rank-4 order diffusion tensor imaging: A higher order tensor imaging study,
IJIST(24), No. 1, 2014, pp. 83-93.
DOI Link 1403
rank-4 order diffusion tensor imaging BibRef

Wei, H.J.[Hong-Jiang], Viallon, M., Delattre, B.M.A., Moulin, K., Yang, F.[Feng], Croisille, P., Zhu, Y.M.[Yue-Min],
Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion,
MedImg(34), No. 1, January 2015, pp. 306-316.
IEEE DOI 1502
biodiffusion BibRef

Gorokh, A.[Artur], Korolev, Y.[Yury], Valkonen, T.[Tuomo],
Diffusion Tensor Imaging with Deterministic Error Bounds,
JMIV(56), No. 1, September 2016, pp. 137-157.
WWW Link. 1605
BibRef

Baust, M., Weinmann, A., Wieczorek, M., Lasser, T., Storath, M., Navab, N.,
Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging Based on a Riemannian Manifold Approach,
MedImg(35), No. 8, August 2016, pp. 1972-1989.
IEEE DOI 1608
Diffusion tensor imaging BibRef

Krajsek, K.[Kai], Menzel, M.I.[Marion I.], Scharr, H.[Hanno],
A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images,
IJCV(120), No. 3, December 2016, pp. 272-299.
Springer DOI 1609
BibRef
Earlier:
Riemannian Bayesian estimation of diffusion tensor images,
ICCV09(2327-2334).
IEEE DOI 0909
DT-MRI. BibRef

Zeng, X.H.[Xian-Hua], He, S.S.[Shan-Shan], Li, W.S.[Wei-Sheng],
Color perception of diffusion tensor images using hierarchical manifold learning,
PR(63), No. 1, 2017, pp. 583-592.
Elsevier DOI 1612
Diffusion tensor images BibRef

Verzhbinsky, I.A., Perotti, L.E., Moulin, K., Cork, T.E., Loecher, M., Ennis, D.B.,
Estimating Aggregate Cardiomyocyte Strain Using In~Vivo Diffusion and Displacement Encoded MRI,
MedImg(39), No. 3, March 2020, pp. 656-667.
IEEE DOI 2004
Strain, Magnetic resonance imaging, In vivo, Phantoms, Pipelines, Aggregates, Heart, DENSE MRI, diffusion tensor imaging, cardiac microstructure BibRef

Huang, J., Zhou, L., Wang, L., Zhang, D.,
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis,
MedImg(39), No. 7, July 2020, pp. 2541-2552.
IEEE DOI 2007
Functional magnetic resonance imaging, Diffusion tensor imaging, Feature extraction, epilepsy BibRef

Ning, L., Gagoski, B., Szczepankiewicz, F., Westin, C., Rathi, Y.,
Joint RElaxation-Diffusion Imaging Moments to Probe Neurite Microstructure,
MedImg(39), No. 3, March 2020, pp. 668-677.
IEEE DOI 2004
Probability density function, Microstructure, Standards, Laplace equations, Imaging, Estimation, Diffusion MRI, filtering BibRef

Li, Y., Liu, J., Tang, Z., Lei, B.,
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification,
MedImg(39), No. 9, September 2020, pp. 2818-2830.
IEEE DOI 2009
Time series analysis, Feature extraction, Diffusion tensor imaging, Adaptive systems, Topology, Diseases, spatial-temporal feature BibRef

Huynh, K.M., Xu, T., Wu, Y., Wang, X., Chen, G., Wu, H., Thung, K.H., Lin, W., Shen, D., Yap, P.T.,
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging,
MedImg(39), No. 11, November 2020, pp. 3607-3618.
IEEE DOI 2011
Microstructure, Diffusion tensor imaging, Microarchitecture, Anisotropic magnetoresistance, Dispersion, Pediatrics, Brain Tissue Microstructure BibRef

Liu, X.M.[Xiao-Ming], Zhou, X.B.[Xiao-Bo], Qian, X.H.[Xiao-Hua],
Transparency-guided ensemble convolutional neural network for the stratification between pseudoprogression and true progression of glioblastoma multiform in MRI,
JVCIR(72), 2020, pp. 102880.
Elsevier DOI 2010
Pseudo progression, Glioblastoma multiforme, Diffusion tensor imaging (DTI), Ensemble CNN BibRef

Zhu, Q.[Qi], Wang, H.[Heyang], Xu, B.L.[Bing-Liang], Zhang, Z.Q.[Zhi-Qiang], Shao, W.[Wei], Zhang, D.[Daoqiang],
Multimodal Triplet Attention Network for Brain Disease Diagnosis,
MedImg(41), No. 12, December 2022, pp. 3884-3894.
IEEE DOI 2212
Feature extraction, Diffusion tensor imaging, Epilepsy, Functional magnetic resonance imaging, Diseases, Data mining, high-order information BibRef

Consagra, W.[William], Venkataraman, A.[Arun], Zhang, Z.W.[Zheng-Wu],
Optimized Diffusion Imaging for Brain Structural Connectome Analysis,
MedImg(41), No. 8, August 2022, pp. 2118-2129.
IEEE DOI 2208
Estimation, Diffusion tensor imaging, Eigenvalues and eigenfunctions, Brain modeling, structural connectome BibRef

Cai, H.J.[Hong-Jie], Gao, Y.[Yue], Liu, M.H.[Man-Hua],
Graph Transformer Geometric Learning of Brain Networks Using Multimodal MR Images for Brain Age Estimation,
MedImg(42), No. 2, February 2023, pp. 456-466.
IEEE DOI 2302
Estimation, Diffusion tensor imaging, Transformers, Aging, Brain modeling, Data models, Convolutional neural networks, Alzheimer's disease BibRef

Song, X.G.[Xue-Gang], Zhou, F.[Feng], Frangi, A.F.[Alejandro F.], Cao, J.[Jiuwen], Xiao, X.H.[Xiao-Hua], Lei, Y.[Yi], Wang, T.F.[Tian-Fu], Lei, B.[Baiying],
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network,
MedImg(42), No. 2, February 2023, pp. 354-367.
IEEE DOI 2302
Diseases, Task analysis, Diffusion tensor imaging, Training, Neuroimaging, Filtering theory, dual-modality fusion BibRef

Özlük, E.[Enes], Özlük, G.Ö.[Gülsah Öztürk],
Diffusion tensor imaging from past to present: A bibliometric analysis with trending topics and global productivity during 1980-2022,
IJIST(34), No. 4, 2024, pp. e23115.
DOI Link 2406
bibliometric analysis, citation analysis, diffusion tensor imaging, research trends, scientometric analysis BibRef

Xu, N.[Ning], Zhou, Z.[Zimo], Cai, H.[Hao],
A DTI registration algorithm based on spectral representation,
IET-IPR(18), No. 3, 2024, pp. 796-806.
DOI Link 2402
Diffusion Tensor Imaging. Brain MRI. image fusion, image processing, image recognition BibRef

Weng, L.[Li], Zhu, Z.[Zhoule], Dai, K.X.[Kai-Xin], Zheng, Z.[Zhe], Zhu, J.M.[Jun-Ming], Wu, H.[Hemmings],
Reduced-Reference Learning for Target Localization in Deep Brain Stimulation,
MedImg(43), No. 7, July 2024, pp. 2434-2447.
IEEE DOI 2407
Location awareness, Satellite broadcasting, Diffusion tensor imaging, Complexity theory, Biomedical imaging, target localization BibRef


He, Y.L.[Yun-Long], Wang, L.H.[Li-Hui], Yang, F.[Feng], Xia, Y.[Yong], Clarysse, P.[Patrick], Zhu, Y.[Yuemin],
Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging,
FIMH21(200-210).
Springer DOI 2108
BibRef

Sharma, H.[Harsh], Soltaninejad, S.[Sara], Cheng, I.[Irene],
Automated Classification of Parkinson's Disease Using Diffusion Tensor Imaging Data,
ISVC20(II:658-669).
Springer DOI 2103
BibRef

Lei, H., Zhao, Y., Huang, Z., Zhou, F., Huang, L., Lei, B.,
Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning,
ICPR18(3268-3272)
IEEE DOI 1812
Sparse matrices, Feature extraction, Diseases, Neuroimaging, Diffusion tensor imaging, Support vector machines, feature selection BibRef

Gorodissky, O.A., Sharon, A., Danov, A., Friedman, A., Raviv, T.R.,
Symmetry-Based Analysis of Diffusion MRI for the Detection of Brain Impairments,
ICIP18(376-379)
IEEE DOI 1809
Isosurfaces, Diffusion tensor imaging, Brain injuries, Symmetry, Shape dissimilarity, MRI, Fractional Anisotropy, Mean Diffusion, Contact Sport players BibRef

Mostapha, M.[Mahmoud], Soliman, A.[Ahmed], Khalifa, F.[Fahmi], Elnakib, A.[Ahmed], Alansary, A.[Amir], Nitzken, M.[Matthew], Casanova, M.F.[Manuel F.], El-Baz, A.[Ayman],
A statistical framework for the classification of infant DT images,
ICIP14(2222-2226)
IEEE DOI 1502
Adaptation models infant diffusion tensor images BibRef

Nguyen, K.T.[Khoa Tan], Ynnerman, A.[Anders], Ropinski, T.[Timo],
Analyzing and Reducing DTI Tracking Uncertainty by Combining Deterministic and Stochastic Approaches,
ISVC13(I:266-279).
Springer DOI 1310
Diffusion Tensor Imaging with fiber tracking. BibRef

Munoz-Moreno, E.[Emma], Frangi, A.[Alejandro],
Spatial normalization of cardiac Diffusion Tensor Imaging for modeling the muscular structure of the myocardium,
ICIP10(4413-4416).
IEEE DOI 1009
BibRef

Collins, M.D.[Maxwell D.], Singh, V.[Vikas], Alexander, A.L.[Andrew L.],
Network Connectivity via Inference over Curvature-Regularizing Line Graphs,
ACCV10(I: 65-78).
Springer DOI 1011
Award, ACCV, Application Paper. Diffusion tensor imaging. BibRef

Pai, D.[Darshan], Muzik, O.[Otto], Hua, J.[Jing],
Quantitative analysis of diffusion tensor images across subjects using probabilistic tractography,
ICIP08(1448-1451).
IEEE DOI 0810
BibRef

Ng, M.C., Hu, Y., Wu, E.X., Yang, E.S., Luk, K.D.K.,
Diffusion Tensor-Based Fiber Tracking in Cervical Spinal Cord with a 3T MRI,
Southwest06(76-80).
IEEE DOI 0603
BibRef

Welk, M.[Martin], Theis, D.[David], Brox, T.[Thomas], Weickert, J.[Joachim],
PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors,
ScaleSpace05(585-597).
Springer DOI 0505
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Magnetic Particle Imaging .


Last update:Jul 13, 2024 at 15:27:21