Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
Springer International Publishing (Verlag)
978-3-319-52717-8 (ISBN)
This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges. 7th International Workshop, STACOM 2016, Held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected papers
The 24 revised full workshop papers were carefully reviewed and selected from 32 submissions. The papers cover a wide range of topics such as cardiac image processing; atlas construction, statistical modelling of cardiac function across different patient populations; cardiac mapping, cardiac computational physiology; model customization; image-based modelling and image-guided interventional procedures; atlas based functional analysis, ontological schemata for data and results; integrated functional and structural analyses; pre-clinical and clinical applicability of the methods described.
Function across different patient populations.- Cardiac mapping.- Cardiac computational physiology.- Model customization.- Image-based modelling and image-guided interventional procedures.- Atlas based functional analysis.-Ontological schemata for data and results.- Integrated functional and structural analyses.- Pre-clinical and clinical applicability of the methods described.
"The workshop and the submissions in this book provide a forum of discussion for further development of statistical analysis and computational imaging and modeling of the heart. It is aimed primarily at students, health professionals, and researchers who are looking to enhance their knowledge of further advances in cardiac imaging and statistical models of the heart. ... This is a valuable resource for those interested in keeping abreast of the latest advances in cardiac imaging statistical models ... ." (Pooja Sethi, Doody's Book Reviews, March, 2017)
Erscheinungsdatum | 21.02.2017 |
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Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XI, 230 p. 108 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Angiography • Applications • cardiac computed tomography (CT) • Cardiac Imaging • CMR • Computer Science • computer vision • conference proceedings • Dynamic Programming • electrophysiological model • geodesic active contour • histological data • Image Processing • image processing and computer vision • Image Segmentation • infarct diagnosis • Informatics • Modeling • MRI • Parameter Estimation • registration • Research • robust PCA • Segmentation • tagged MR image analysis • Tracking • trans-catheter aortic valve implantation • x-ray fluoroscopy |
ISBN-10 | 3-319-52717-7 / 3319527177 |
ISBN-13 | 978-3-319-52717-8 / 9783319527178 |
Zustand | Neuware |
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