Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain, September 2018: Mathematics and Visualization
Editat de Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Taxen Limba Engleză Hardback – 7 iun 2019
This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018.
It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging.
The book shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of full-colour visualisations, and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics alike.
Din seria Mathematics and Visualization
- 20% Preț: 935.20 lei
- 18% Preț: 960.93 lei
- 18% Preț: 1110.41 lei
- 24% Preț: 800.85 lei
- 15% Preț: 654.62 lei
- 18% Preț: 1220.57 lei
- 20% Preț: 997.38 lei
- 20% Preț: 994.26 lei
- 15% Preț: 645.47 lei
- 20% Preț: 1284.47 lei
- 20% Preț: 656.69 lei
- 20% Preț: 476.68 lei
- 20% Preț: 1273.08 lei
- 15% Preț: 649.54 lei
- 20% Preț: 335.36 lei
- 20% Preț: 646.95 lei
- 20% Preț: 651.75 lei
- 20% Preț: 657.99 lei
- 18% Preț: 1223.74 lei
- 20% Preț: 709.98 lei
- 20% Preț: 333.72 lei
- 5% Preț: 1101.58 lei
- 20% Preț: 992.44 lei
- 18% Preț: 1236.38 lei
- 20% Preț: 1158.59 lei
- 20% Preț: 330.66 lei
- 20% Preț: 992.26 lei
- 20% Preț: 648.44 lei
- 18% Preț: 963.91 lei
- 15% Preț: 653.98 lei
- 20% Preț: 991.94 lei
- 18% Preț: 958.07 lei
Preț: 256.43 lei
Nou
Puncte Express: 385
Preț estimativ în valută:
49.07€ • 50.63$ • 41.53£
49.07€ • 50.63$ • 41.53£
Carte disponibilă
Livrare economică 12-26 februarie
Livrare express 28 ianuarie-01 februarie pentru 47.92 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783030058302
ISBN-10: 3030058301
Pagini: 352
Ilustrații: XII, 390 p. 126 illus., 109 illus. in color.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.74 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Mathematics and Visualization
Locul publicării:Cham, Switzerland
ISBN-10: 3030058301
Pagini: 352
Ilustrații: XII, 390 p. 126 illus., 109 illus. in color.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.74 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Mathematics and Visualization
Locul publicării:Cham, Switzerland
Cuprins
Part I Diffusion MRI signal acquisition and processing strategies.- Part II Machine learning for diffusion MRI.- Part III Diffusion MRI signal harmonisation.- Part IV Diffusion MRI outside the brain and clinical applications.- Part V Tractography and connectivity mapping.- Index.
Textul de pe ultima copertă
This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018.
It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging.
The book shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of full-colour visualisations, and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics alike.
Caracteristici
Contributions on new important topics that are gaining momentum within the diffusion MRI community Details new computational methods and estimation techniques for microstructure imaging and brain connectivity mapping Features papers presented at the 2018 MICCAI Workshop on Computational Diffusion MRI (CDMRI’18)