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Advanced diffusion encoding methods in MRI / / edited by Daniel Topgaard
| Advanced diffusion encoding methods in MRI / / edited by Daniel Topgaard |
| Autore | Topgaard Daniel |
| Pubbl/distr/stampa | Royal Society of Chemistry, 2020 |
| Descrizione fisica | 1 online resource (xviii, 436 pages) : illustrations |
| Disciplina | 616.07548 |
| Collana | New developments in NMR |
| Soggetto topico | Diffusion magnetic resonance imaging |
| Soggetto non controllato | medical; mri; advanced; encoding methods |
| ISBN |
1-78801-991-1
1-78801-992-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910772082803321 |
Topgaard Daniel
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| Royal Society of Chemistry, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational diffusion MRI : 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings / / editors : Suheyla Cetin-Karayumak [and six others]
| Computational diffusion MRI : 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings / / editors : Suheyla Cetin-Karayumak [and six others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (156 pages) |
| Disciplina | 616.07548 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Diffusion magnetic resonance imaging
Artificial intelligence Computer vision |
| ISBN | 3-031-21206-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Data Preprocessing -- Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders -- 1 Introduction -- 2 Methodology -- 2.1 Materials -- 2.2 Model -- 3 Results -- 3.1 DWI Assessment -- 3.2 FA and MD in Newborns -- 3.3 Qualitative Results of FA and MD in Fetuses -- 4 Conclusion -- References -- Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging -- 1 Introduction -- 2 Background and Methods -- 2.1 Background -- 2.2 Proposed Method -- 3 Experiments -- 3.1 Data -- 3.2 Implementation and Training Details -- 3.3 Models and Evaluation Metrics -- 4 Results -- 4.1 Proposed Model Performance -- 4.2 Model Ablation Results -- 5 Discussion -- References -- .28em plus .1em minus .1emLossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion and Conclusion -- References -- Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning -- 1 Introduction -- 2 Background -- 2.1 Distortion Model -- 2.2 Distortion Correction Using Image Registration -- 3 Method -- 3.1 Model Architecture -- 3.2 Models -- 4 Evaluations -- 4.1 Datasets -- 4.2 Models -- 4.3 Assessment Metrics -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures -- 1 Introduction -- 2 Methods -- 2.1 Study Participants and MRI Data -- 2.2 dMRI Preprocessing and Subsampling -- 2.3 dMRI Models and Regional Measures -- 2.4 Statistics -- 3 Results -- 3.1 DTI and NODDI Map Comparisons -- 3.2 DTI and NODDI Fit Evaluations -- 3.3 GAM Age Associations -- 4 Discussion -- References -- Signal Representations.
Diffusion MRI Fibre Orientation Distribution Inpainting -- 1 Introduction -- 2 Methods -- 2.1 The Human Connectome Project Dataset -- 2.2 Data Preprocessing -- 2.3 3D FOD Inpainting Framework -- 2.4 Feature Encoding Stage -- 2.5 Order-Wise Coefficient Decoders -- 2.6 Implementation Details -- 3 Experimental Results -- 3.1 Inpainting Quality Analysis -- 3.2 Connectome Matrix Analysis -- 4 Conclusion -- References -- Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning -- 1 Introduction -- 2 Methods -- 2.1 Microstructure Model -- 2.2 Combined T1-Diffusion in Vivo Data -- 2.3 Simulated Data -- 2.4 Non-linear Least Squares Fitting -- 2.5 Self-supervised Model Fitting -- 3 Results -- 3.1 Simulated Data -- 3.2 Real Data -- 4 Discussion -- 5 Conclusion -- References -- Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting -- 1 Introduction -- 2 Methods -- 2.1 Biophysical Diffusion Model -- 2.2 Orientation Distribution Function Fingerprinting -- 2.3 Stepwise Stochastic Adaptation of a Dictionary -- 2.4 Data -- 2.5 Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? -- 1 Introduction -- 2 ML Solutions to the dMRI Parameter Estimation Problem and the Theoretical Benefits of S-CNNs -- 2.1 Fully-Connected Networks -- 2.2 Spherical CNNs -- 3 Experiments -- 3.1 Experiment 1 -- 3.2 Experiment 2 -- 4 Results and Discussion -- 4.1 For Experiment 1 -- 4.2 For Experiment 2 -- 5 Conclusion -- References -- Tractography and WM Pathways -- DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net -- 1 Introduction -- 2 Methods -- 2.1 Dense Criss-Cross U-Net -- 2.2 Dense Criss-Cross Attention (DCCA) Block. 2.3 Deeply Supervised Loss Function -- 3 Experiments -- 3.1 Dataset and Implementation Details -- 3.2 Results -- 3.3 Ablation Analysis of DC2U-Net -- 4 Conclusion -- References -- Clustering in Tractography Using Autoencoders (CINTA) -- 1 Introduction -- 1.1 Related Work -- 2 Material and Methods -- 3 Experiments -- 4 Results -- 5 Discussion -- 6 Conclusion -- A Appendix -- A.1 Misclassified Streamlines -- A.2 Time Computational Requirements -- References -- Tractometric Coherence of Fiber Bundles in DTI -- 1 Introduction -- 2 Theory -- 3 Experiments -- 4 Discussion -- References -- Author Index. |
| Record Nr. | UNINA-9910633928503321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational diffusion MRI : 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings / / editors : Suheyla Cetin-Karayumak [and six others]
| Computational diffusion MRI : 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings / / editors : Suheyla Cetin-Karayumak [and six others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (156 pages) |
| Disciplina | 616.07548 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Diffusion magnetic resonance imaging
Artificial intelligence Computer vision |
| ISBN | 3-031-21206-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Data Preprocessing -- Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders -- 1 Introduction -- 2 Methodology -- 2.1 Materials -- 2.2 Model -- 3 Results -- 3.1 DWI Assessment -- 3.2 FA and MD in Newborns -- 3.3 Qualitative Results of FA and MD in Fetuses -- 4 Conclusion -- References -- Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging -- 1 Introduction -- 2 Background and Methods -- 2.1 Background -- 2.2 Proposed Method -- 3 Experiments -- 3.1 Data -- 3.2 Implementation and Training Details -- 3.3 Models and Evaluation Metrics -- 4 Results -- 4.1 Proposed Model Performance -- 4.2 Model Ablation Results -- 5 Discussion -- References -- .28em plus .1em minus .1emLossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion and Conclusion -- References -- Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning -- 1 Introduction -- 2 Background -- 2.1 Distortion Model -- 2.2 Distortion Correction Using Image Registration -- 3 Method -- 3.1 Model Architecture -- 3.2 Models -- 4 Evaluations -- 4.1 Datasets -- 4.2 Models -- 4.3 Assessment Metrics -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures -- 1 Introduction -- 2 Methods -- 2.1 Study Participants and MRI Data -- 2.2 dMRI Preprocessing and Subsampling -- 2.3 dMRI Models and Regional Measures -- 2.4 Statistics -- 3 Results -- 3.1 DTI and NODDI Map Comparisons -- 3.2 DTI and NODDI Fit Evaluations -- 3.3 GAM Age Associations -- 4 Discussion -- References -- Signal Representations.
Diffusion MRI Fibre Orientation Distribution Inpainting -- 1 Introduction -- 2 Methods -- 2.1 The Human Connectome Project Dataset -- 2.2 Data Preprocessing -- 2.3 3D FOD Inpainting Framework -- 2.4 Feature Encoding Stage -- 2.5 Order-Wise Coefficient Decoders -- 2.6 Implementation Details -- 3 Experimental Results -- 3.1 Inpainting Quality Analysis -- 3.2 Connectome Matrix Analysis -- 4 Conclusion -- References -- Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning -- 1 Introduction -- 2 Methods -- 2.1 Microstructure Model -- 2.2 Combined T1-Diffusion in Vivo Data -- 2.3 Simulated Data -- 2.4 Non-linear Least Squares Fitting -- 2.5 Self-supervised Model Fitting -- 3 Results -- 3.1 Simulated Data -- 3.2 Real Data -- 4 Discussion -- 5 Conclusion -- References -- Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting -- 1 Introduction -- 2 Methods -- 2.1 Biophysical Diffusion Model -- 2.2 Orientation Distribution Function Fingerprinting -- 2.3 Stepwise Stochastic Adaptation of a Dictionary -- 2.4 Data -- 2.5 Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? -- 1 Introduction -- 2 ML Solutions to the dMRI Parameter Estimation Problem and the Theoretical Benefits of S-CNNs -- 2.1 Fully-Connected Networks -- 2.2 Spherical CNNs -- 3 Experiments -- 3.1 Experiment 1 -- 3.2 Experiment 2 -- 4 Results and Discussion -- 4.1 For Experiment 1 -- 4.2 For Experiment 2 -- 5 Conclusion -- References -- Tractography and WM Pathways -- DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net -- 1 Introduction -- 2 Methods -- 2.1 Dense Criss-Cross U-Net -- 2.2 Dense Criss-Cross Attention (DCCA) Block. 2.3 Deeply Supervised Loss Function -- 3 Experiments -- 3.1 Dataset and Implementation Details -- 3.2 Results -- 3.3 Ablation Analysis of DC2U-Net -- 4 Conclusion -- References -- Clustering in Tractography Using Autoencoders (CINTA) -- 1 Introduction -- 1.1 Related Work -- 2 Material and Methods -- 3 Experiments -- 4 Results -- 5 Discussion -- 6 Conclusion -- A Appendix -- A.1 Misclassified Streamlines -- A.2 Time Computational Requirements -- References -- Tractometric Coherence of Fiber Bundles in DTI -- 1 Introduction -- 2 Theory -- 3 Experiments -- 4 Discussion -- References -- Author Index. |
| Record Nr. | UNISA-996500061103316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / / Elisenda Bonet-Carne [and five others] editors
| Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / / Elisenda Bonet-Carne [and five others] editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XI, 210 p. 78 illus., 64 illus. in color.) |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico | Diffusion magnetic resonance imaging |
| ISBN | 3-030-52893-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Diffusion MRI signal acquisition and processing strategies -- Machine learning for diffusion MRI -- Combined diffusion-relaxometry MRI. |
| Record Nr. | UNINA-9910484129503321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / / Elisenda Bonet-Carne [and five others] editors
| Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / / Elisenda Bonet-Carne [and five others] editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XI, 210 p. 78 illus., 64 illus. in color.) |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico | Diffusion magnetic resonance imaging |
| ISBN | 3-030-52893-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Diffusion MRI signal acquisition and processing strategies -- Machine learning for diffusion MRI -- Combined diffusion-relaxometry MRI. |
| Record Nr. | UNISA-996418183403316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Diffusion MRI [[electronic resource] ] : from quantitative measurement to in vivo neuroanatomy / / edited by Heidi Johansen-Berg, Timothy E.J. Behrens
| Diffusion MRI [[electronic resource] ] : from quantitative measurement to in vivo neuroanatomy / / edited by Heidi Johansen-Berg, Timothy E.J. Behrens |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam, : Academic Press, 2009 |
| Descrizione fisica | 1 online resource (507 p.) |
| Disciplina |
616.07
616.07548 |
| Altri autori (Persone) |
Johansen-BergHeidi
BehrensTimothy E. J |
| Soggetto topico | Diffusion magnetic resonance imaging |
| ISBN |
1-282-16804-5
9786612168048 0-08-087851-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | section 1. Introduction to diffusion MRI -- section 2. Diffusion MRI for quantitative measurement -- section 3. Diffusion MRI for in vivo neuroanatomy. |
| Record Nr. | UNINA-9910782830703321 |
| Amsterdam, : Academic Press, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Diffusion MRI [[electronic resource] ] : from quantitative measurement to in vivo neuroanatomy / / edited by Heidi Johansen-Berg, Timothy E.J. Behrens
| Diffusion MRI [[electronic resource] ] : from quantitative measurement to in vivo neuroanatomy / / edited by Heidi Johansen-Berg, Timothy E.J. Behrens |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam, : Academic Press, 2009 |
| Descrizione fisica | 1 online resource (507 p.) |
| Disciplina |
616.07
616.07548 |
| Altri autori (Persone) |
Johansen-BergHeidi
BehrensTimothy E. J |
| Soggetto topico | Diffusion magnetic resonance imaging |
| ISBN |
1-282-16804-5
9786612168048 0-08-087851-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | section 1. Introduction to diffusion MRI -- section 2. Diffusion MRI for quantitative measurement -- section 3. Diffusion MRI for in vivo neuroanatomy. |
| Record Nr. | UNINA-9910813294203321 |
| Amsterdam, : Academic Press, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Diffusion Weighted and Diffusion Tensor Imaging : A Clinical Guide / / by: Leite, Claudia da Costa, Castillo, Mauricio
| Diffusion Weighted and Diffusion Tensor Imaging : A Clinical Guide / / by: Leite, Claudia da Costa, Castillo, Mauricio |
| Autore | Andrade Celi Santos |
| Pubbl/distr/stampa | New York : , : Thieme, , 2016 |
| Descrizione fisica | 1 online resource (270 p.) |
| Disciplina | 616.07548 |
| Soggetto topico | Diffusion magnetic resonance imaging |
| ISBN |
1-63853-065-3
1-62623-020-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Diffusion Weighted and Diffusion Tensor Imaging: A Clinical Guide; Title Page; Copyright; Dedication; Contents; Foreword; Preface; Contributors; 1 Physics of Diffusion Weighted and Diffusion Tensor Imaging.; 2 Brain Edema: Pathophysiology; 3 Supratentorial White Matter Tracts and Their Organization; 4 Diffusion Weighted Imaging and Diffusion Tensor Imaging of the Brain during Early Brain Development: The First Two Years of Life; 5 Diffusion Weighted and Diffusion Tensor Imaging in Aging; 6 Diffusion Weighted Imaging in Vascular Pathology
7 Diffusion Weighted Imaging in the Evaluation of Brain Tumors8 Diffusion Weighted and Diffusion Tensor Imaging in Infectious Diseases; 9 Diffusion Weighted Imaging and Diffusion Tensor Imaging in Demyelination and Toxic Diseases; 10 Diffusion Weighted Imaging and Diffusion Tensor Imaging of White Matter Diseases In Children.; 11 Diffusion Imaging for the Assessment of Traumatic Brain Injury.; 12 Diffusion Weighted Imaging in Hemorrhage; 13 Diffusion Weighted Imaging and Diffusion Tensor Imaging in Spine and Spinal Cord Diseases 14 Diffusion Weighted Imaging and Diffusion Tensor Imaging in Head and Neck Diseases15 Future Applications of Diffusion Weighted Imaging: Diffusional Kurtosis and Other Nongaussian Diffusion Techniques; Index |
| Record Nr. | UNINA-9910798016403321 |
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Andrade Celi Santos
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| New York : , : Thieme, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Diffusion Weighted and Diffusion Tensor Imaging : A Clinical Guide / / by: Leite, Claudia da Costa, Castillo, Mauricio
| Diffusion Weighted and Diffusion Tensor Imaging : A Clinical Guide / / by: Leite, Claudia da Costa, Castillo, Mauricio |
| Autore | Andrade Celi Santos |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York : , : Thieme, , 2016 |
| Descrizione fisica | 1 online resource (270 p.) |
| Disciplina | 616.07548 |
| Soggetto topico | Diffusion magnetic resonance imaging |
| ISBN |
1-63853-065-3
1-62623-020-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Diffusion Weighted and Diffusion Tensor Imaging: A Clinical Guide; Title Page; Copyright; Dedication; Contents; Foreword; Preface; Contributors; 1 Physics of Diffusion Weighted and Diffusion Tensor Imaging.; 2 Brain Edema: Pathophysiology; 3 Supratentorial White Matter Tracts and Their Organization; 4 Diffusion Weighted Imaging and Diffusion Tensor Imaging of the Brain during Early Brain Development: The First Two Years of Life; 5 Diffusion Weighted and Diffusion Tensor Imaging in Aging; 6 Diffusion Weighted Imaging in Vascular Pathology
7 Diffusion Weighted Imaging in the Evaluation of Brain Tumors8 Diffusion Weighted and Diffusion Tensor Imaging in Infectious Diseases; 9 Diffusion Weighted Imaging and Diffusion Tensor Imaging in Demyelination and Toxic Diseases; 10 Diffusion Weighted Imaging and Diffusion Tensor Imaging of White Matter Diseases In Children.; 11 Diffusion Imaging for the Assessment of Traumatic Brain Injury.; 12 Diffusion Weighted Imaging in Hemorrhage; 13 Diffusion Weighted Imaging and Diffusion Tensor Imaging in Spine and Spinal Cord Diseases 14 Diffusion Weighted Imaging and Diffusion Tensor Imaging in Head and Neck Diseases15 Future Applications of Diffusion Weighted Imaging: Diffusional Kurtosis and Other Nongaussian Diffusion Techniques; Index |
| Record Nr. | UNINA-9910819904603321 |
|
Andrade Celi Santos
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| New York : , : Thieme, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Diffusion weighted and diffusion tensor imaging : a clinical guide / / Claudia da Costa Leite, Mauricio Castillo
| Diffusion weighted and diffusion tensor imaging : a clinical guide / / Claudia da Costa Leite, Mauricio Castillo |
| Autore | Leite Claudia da Costa |
| Pubbl/distr/stampa | New York : , : Thieme, , 2016 |
| Descrizione fisica | 1 online resource (270 p.) |
| Disciplina | 616.07548 |
| Soggetto topico | Diffusion magnetic resonance imaging |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-62623-020-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Diffusion Weighted and Diffusion Tensor Imaging: A Clinical Guide; Title Page; Copyright; Dedication; Contents; Foreword; Preface; Contributors; 1 Physics of Diffusion Weighted and Diffusion Tensor Imaging.; 2 Brain Edema: Pathophysiology; 3 Supratentorial White Matter Tracts and Their Organization; 4 Diffusion Weighted Imaging and Diffusion Tensor Imaging of the Brain during Early Brain Development: The First Two Years of Life; 5 Diffusion Weighted and Diffusion Tensor Imaging in Aging; 6 Diffusion Weighted Imaging in Vascular Pathology
7 Diffusion Weighted Imaging in the Evaluation of Brain Tumors8 Diffusion Weighted and Diffusion Tensor Imaging in Infectious Diseases; 9 Diffusion Weighted Imaging and Diffusion Tensor Imaging in Demyelination and Toxic Diseases; 10 Diffusion Weighted Imaging and Diffusion Tensor Imaging of White Matter Diseases In Children.; 11 Diffusion Imaging for the Assessment of Traumatic Brain Injury.; 12 Diffusion Weighted Imaging in Hemorrhage; 13 Diffusion Weighted Imaging and Diffusion Tensor Imaging in Spine and Spinal Cord Diseases 14 Diffusion Weighted Imaging and Diffusion Tensor Imaging in Head and Neck Diseases15 Future Applications of Diffusion Weighted Imaging: Diffusional Kurtosis and Other Nongaussian Diffusion Techniques; Index |
| Record Nr. | UNINA-9910466317503321 |
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Leite Claudia da Costa
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| New York : , : Thieme, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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