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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Oscar Camara

    1. Universitat Pompeu Fabra, Barcelona, Spain

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  2. Tommaso Mansi

    1. Siemens Corporation, Princeton, USA

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  3. Mihaela Pop

    1. University of Toronto, Toronto, Canada

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  4. Kawal Rhode

    1. King's College, London, United Kingdom

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  5. Maxime Sermesant

    1. Inria, Inria - Asclepios Team, Sophia-Antipolis, France

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  6. Alistair Young

    1. Fac. of Medical and Health Sciences, Auckland Univ, Dept. Radiology, Auckland, New Zealand

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9534)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: STACOM 2015.

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Table of contents (24 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Regular Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images

      • Sharath Gopal, Demetri Terzopoulos
      Pages 3-12

    3. Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle

      • Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan O’Regan et al.
      Pages 13-20

    4. A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?

      • Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia et al.
      Pages 21-29

    5. Towards Left Ventricular Scar Localisation Using Local Motion Descriptors

      • Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal et al.
      Pages 30-39

    6. Traversed Graph Representation for Sparse Encoding of Macro-Reentrant Tachycardia

      • Mihaela Constantinescu, Su-Lin Lee, Sabine Ernst, Guang-Zhong Yang
      Pages 40-50

    7. Prediction of Infarct Localization from Myocardial Deformation

      • Nicolas Duchateau, Maxime Sermesant
      Pages 51-59

    8. Parameterisation of Multi-directional Diffusion Weighted Magnetic Resonance Images of the Heart

      • Bianca Freytag, Vicky Y. Wang, G. Richard Christie, Alexander J. Wilson, Gregory B. Sands, Ian J. LeGrice et al.
      Pages 60-68

    9. Confidence Measures for Assessing the HARP Algorithm in Tagged Magnetic Resonance Imaging

      • Hanne Kause, Aura Hernàndez-Sabaté, Patricia Márquez-Valle, Andrea Fuster, Luc Florack, Hans van Assen et al.
      Pages 69-79

    10. Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study

      • Benedetta Biffi, Maria A. Zuluaga, Sébastien Ourselin, Andrew M. Taylor, Silvia Schievano
      Pages 80-89

    11. Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network

      • Toni Lassila, Matthias Lange, Antonio R. Porras Perez, Karim Lekadir, Xènia Albà, Gemma Piella et al.
      Pages 90-97

    12. Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation

      • Marco Pereañez, Karim Lekadir, Xenia Albà, Pau Medrano-Gracia, Alistair A. Young, Alejandro Frangi
      Pages 98-107

    13. Myocardial Infarct Localization Using Neighbourhood Approximation Forests

      • Héloïse Bleton, Jàn Margeta, Hervé Lombaert, Hervé Delingette, Nicholas Ayache
      Pages 108-116

  3. Shape Challenge Papers

    1. Front Matter

      Pages 117-117
      Download chapter PDF

    2. Systo-Diastolic LV Shape Analysis by Geometric Morphometrics and Parallel Transport Highly Discriminates Myocardial Infarction

      • Paolo Piras, Luciano Teresi, Stefano Gabriele, Antonietta Evangelista, Giuseppe Esposito, Valerio Varano et al.
      Pages 119-129

    3. Statistical Shape Modeling Using Partial Least Squares: Application to the Assessment of Myocardial Infarction

      • Karim Lekadir, Xènia Albà, Marco Pereañez, Alejandro F. Frangi
      Pages 130-139

    4. Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features

      • Wenjia Bai, Ozan Oktay, Daniel Rueckert
      Pages 140-145

    5. Detecting Myocardial Infarction Using Medial Surfaces

      • Pierre Ablin, Kaleem Siddiqi
      Pages 146-153

    6. Left Ventricle Classification Using Active Shape Model and Support Vector Machine

      • Nripesh Parajuli, Allen Lu, James S. Duncan
      Pages 154-161
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  1. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

Keywords

About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015.

The 23 revised full workshop papers were carefully reviewed and selected from 34 submissions. The papers cover a wide range of topics such cardiac image processing, atlas construction, statistical modeling 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 analysis.

Reviews

“This book presents papers that were presented at STATCOM 2015 on statistical and computational models of the heart. … Researchers, teachers, and clinicians who are interested in computer modeling of the heart and newer methods and progress in this field would find this an interesting read. … This is a valuable collection of papers related to cardiac computational modeling that can be an interesting read for those interested in this field.” (Kamesh Sivagnanam, Doody’s Book Reviews, April, 2016)

Editors and Affiliations

  • Universitat Pompeu Fabra, Barcelona, Spain

    Oscar Camara

  • Siemens Corporation, Princeton, USA

    Tommaso Mansi

  • University of Toronto, Toronto, Canada

    Mihaela Pop

  • King's College, London, United Kingdom

    Kawal Rhode

  • Inria, Inria - Asclepios Team, Sophia-Antipolis, France

    Maxime Sermesant

  • Fac. of Medical and Health Sciences, Auckland Univ, Dept. Radiology, Auckland, New Zealand

    Alistair Young

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