000 06308nam a22006255i 4500
001 978-3-642-15835-3
003 DE-He213
005 20140220084547.0
007 cr nn 008mamaa
008 100910s2010 gw | s |||| 0|eng d
020 _a9783642158353
_9978-3-642-15835-3
024 7 _a10.1007/978-3-642-15835-3
_2doi
050 4 _aQA75.5-76.95
072 7 _aUMA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aCOM018000
_2bisacsh
082 0 4 _a006
_223
100 1 _aCamara, Oscar.
_eeditor.
245 1 0 _aStatistical Atlases and Computational Models of the Heart
_h[electronic resource] :
_bFirst International Workshop, STACOM 2010, and Cardiac Electrophysiological Simulation Challenge, CESC 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings /
_cedited by Oscar Camara, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Nic Smith, Alistair Young.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aXII, 292p. 140 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6364
505 0 _aKeynote Presentations -- Atlas Construction and Image Analysis Using Statistical Cardiac Models -- Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management -- The Generation of Patient-Specific Heart Models for Diagnosis and Interventions -- Methods and Infrastructure for Atlas Construction -- The Cardiac Atlas Project: Rationale, Design and Procedures -- The Cardiac Atlas Project: Preliminary Description of Heart Shape in Patients with Myocardial Infarction -- The Cardiac Atlas Project: Development of a Framework Integrating Cardiac Images and Models -- Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-value for the Understanding of CRT Outcome? -- Towards High-Resolution Cardiac Atlases: Ventricular Anatomy Descriptors for a Standardized Reference Frame -- Structure and Flow -- Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation -- Atlas-Based Reduced Models of Blood Flows for Fast Patient-Specific Simulations -- Image and Physiological Data Fusion for Guidance and Modelling of Cardiac Resynchronization Therapy Procedures -- A Multi-method Approach towards Understanding the Pathophysiology of Aortic Dissections – The Complementary Role of In-Silico, In-Vitro and In-Vivo Information -- Endowing Canonical Geometries to Cardiac Structures -- Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas -- Interactive Cardiac Image Analysis for Biventricular Function of the Human Heart -- Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis -- Investigating Heart Failure Using Ventricular Imaging and Modelling -- Incorporating Low-Level Constraints for the Retrieval of Personalised Heart Models from Dynamic MRI -- Volumetric Myocardial Mechanics from 3D+t Ultrasound Data with Multi-model Tracking -- Mechanics and Motion -- Cardiac Active Contraction Parameters Estimated from Magnetic Resonance Imaging -- Electrophysiology and Electrical Activation -- Recovering Cardiac Electrical Activity from Medical Image Sequence: A Model-Based Approach -- Non-invasive Activation Times Estimation Using 3D Echocardiography -- Modeling Drug Effects on Personalized 3D Models of the Heart: A Simulation Study -- How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization -- Influence of Geometric Variations on LV Activation Times: A Study on an Atlas-Based Virtual Population -- Computational Electrophysiological Simulation Challenge (CESC 2010) -- Generic Conduction Parameters for Predicting Activation Waves in Customised Cardiac Electrophysiology Models -- A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data -- Estimation of Reaction, Diffusion and Restitution Parameters for a 3D Myocardial Model Using Optical Mapping and MRI -- Personalization of Fast Conduction Purkinje System in Eikonal-Based Electrophysiological Models with Optical Mapping Data.
520 _aThis book constitutes the refereed proceedings of the First Joint International Workshop on Statistical Atlases and Computational Models of the Heart and Cardiac Electrophysiological Simulation Challenge, STACOM-CESC 2010, held in conjunction with MICCAI 2010, in Beijing, China, in September 2010. The 27 revised full papers presented together with 3 keynote presentations were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on methods and infrastructure for atlas construction, structure and flow, mechanics and motion, electrophysiology and electrical activation, and computational electrophysiological simulation challenge.
650 0 _aComputer science.
650 0 _aInformation storage and retrieval systems.
650 0 _aMultimedia systems.
650 0 _aElectronic data processing.
650 0 _aComputer vision.
650 0 _aBioinformatics.
650 1 4 _aComputer Science.
650 2 4 _aComputing Methodologies.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aMultimedia Information Systems.
700 1 _aPop, Mihaela.
_eeditor.
700 1 _aRhode, Kawal.
_eeditor.
700 1 _aSermesant, Maxime.
_eeditor.
700 1 _aSmith, Nic.
_eeditor.
700 1 _aYoung, Alistair.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642158346
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6364
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-15835-3
912 _aZDB-2-SCS
912 _aZDB-2-LNC
999 _c112723
_d112723