LEADER 04989nam 22007335 450 001 9910338252603321 005 20201123162449.0 010 $a3-030-05831-X 024 7 $a10.1007/978-3-030-05831-9 035 $a(CKB)4100000008103760 035 $a(MiAaPQ)EBC5776094 035 $a(DE-He213)978-3-030-05831-9 035 $a(PPN)236522523 035 $a(EXLCZ)994100000008103760 100 $a20190502d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Diffusion MRI $eInternational MICCAI Workshop, Granada, Spain, September 2018 /$fedited by Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (403 pages) 225 1 $aMathematics and Visualization,$x1612-3786 311 $a3-030-05830-1 327 $aPart 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. 330 $aThis volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI?18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018. It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging. The book shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of full-colour visualisations, and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics alike. . 410 0$aMathematics and Visualization,$x1612-3786 606 $aBiomathematics 606 $aNumerical analysis 606 $aComputer science?Mathematics 606 $aOptical data processing 606 $aComputer simulation 606 $aArtificial intelligence 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 606 $aNumeric Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I1701X 606 $aMath Applications in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17044 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aBiomathematics. 615 0$aNumerical analysis. 615 0$aComputer science?Mathematics. 615 0$aOptical data processing. 615 0$aComputer simulation. 615 0$aArtificial intelligence. 615 14$aMathematical and Computational Biology. 615 24$aNumeric Computing. 615 24$aMath Applications in Computer Science. 615 24$aImage Processing and Computer Vision. 615 24$aSimulation and Modeling. 615 24$aArtificial Intelligence. 676 $a616.07548 676 $a616.07548 702 $aBonet-Carne$b Elisenda$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGrussu$b Francesco$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNing$b Lipeng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSepehrband$b Farshid$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTax$b Chantal M. W$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910338252603321 996 $aComputational diffusion MRI$91409948 997 $aUNINA