000 05895nam a22004335i 4500
001 303529
003 MX-SnUAN
005 20160429155825.0
007 cr nn 008mamaa
008 150903s2010 gw | o |||| 0|eng d
020 _a9783642158353
_99783642158353
024 7 _a10.1007/9783642158353
_2doi
035 _avtls000355840
039 9 _a201509030942
_bVLOAD
_c201405060356
_dVLOAD
_y201402191204
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA75.5-76.95
100 1 _aCamara, Oscar.
_eeditor.
_9342115
245 1 0 _aStatistical Atlases and Computational Models of the Heart :
_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, 292 páginas 140 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6364
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aPop, Mihaela.
_eeditor.
_9342116
700 1 _aRhode, Kawal.
_eeditor.
_9342117
700 1 _aSermesant, Maxime.
_eeditor.
_9336545
700 1 _aSmith, Nic.
_eeditor.
_9342118
700 1 _aYoung, Alistair.
_eeditor.
_9342119
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642158346
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-15835-3
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c303529
_d303529