04461nam 22007575 450 991029997360332120200629214329.03-319-11182-510.1007/978-3-319-11182-7(CKB)3710000000359086(EBL)1998092(SSID)ssj0001452158(PQKBManifestationID)11808773(PQKBTitleCode)TC0001452158(PQKBWorkID)11487088(PQKB)11256501(MiAaPQ)EBC1998092(DE-He213)978-3-319-11182-7(PPN)18449835X(EXLCZ)99371000000035908620150217d2014 u| 0engur|n|---|||||txtccrComputational Diffusion MRI MICCAI Workshop, Boston, MA, USA, September 2014 /edited by Lauren O'Donnell, Gemma Nedjati-Gilani, Yogesh Rathi, Marco Reisert, Torben Schneider1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (216 p.)Mathematics and Visualization,1612-3786Description based upon print version of record.3-319-11181-7 Includes bibliographical references and index.I. Network analysis -- II. Clinical applications -- III. Tractography -- IV. Q-space reconstruction -- V. Post-processing.This book contains papers presented at the 2014 MICCAI Workshop on Computational Diffusion MRI, CDMRI’14. Detailing new computational methods applied to diffusion magnetic resonance imaging data, it offers readers a snapshot of the current state of the art and covers a wide range of topics from fundamental theoretical work on mathematical modeling to the development and evaluation of robust algorithms and applications in neuroscientific studies and clinical practice.   Inside, readers will find information on brain network analysis, mathematical modeling for clinical applications, tissue microstructure imaging, super-resolution methods, signal reconstruction, visualization, and more. Contributions include both careful mathematical derivations and a large number of rich full-color visualizations.   Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic. This volume will offer a valuable starting point for anyone interested in learning computational diffusion MRI. It also offers new perspectives and insights on current research challenges for those currently in the field. The book will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.Mathematics and Visualization,1612-3786BiomathematicsComputer mathematicsOptical data processingPattern recognitionPhysiological, Cellular and Medical Topicshttps://scigraph.springernature.com/ontologies/product-market-codes/M31020Computational Mathematics and Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M1400XImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XBiomathematics.Computer mathematics.Optical data processing.Pattern recognition.Physiological, Cellular and Medical Topics.Computational Mathematics and Numerical Analysis.Image Processing and Computer Vision.Pattern Recognition.570.285O'Donnell Laurenedthttp://id.loc.gov/vocabulary/relators/edtNedjati-Gilani Gemmaedthttp://id.loc.gov/vocabulary/relators/edtRathi Yogeshedthttp://id.loc.gov/vocabulary/relators/edtReisert Marcoedthttp://id.loc.gov/vocabulary/relators/edtSchneider Torbenedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910299973603321Computational diffusion MRI1409948UNINA