000 05680nam a22006255i 4500
001 978-3-642-15835-3
003 DE-He213
005 20160624102149.0
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
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.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
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.
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 _aCamara, Oscar.
_eeditor.
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
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6364
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-15835-3
942 _2EBK9305
_cEBK
999 _c38599
_d38599