Segmentation of the left and right cardiac ventricle using a combined bi-temporal statistical model

  title={Segmentation of the left and right cardiac ventricle using a combined bi-temporal statistical model},
  author={Dominik Fritz and Daniel Rinck and R{\"u}diger Dillmann and Michael Scheuering},
  booktitle={SPIE Medical Imaging},
The manual segmentation and analysis of high-resolution multislice cardiac CT datasets is both labor intensive and time consuming. Therefore it is necessary to supply the cardiologist with powerful software tools to segment the myocardium as well as the cardiac cavities and to compute the relevant diagnostic parameters. In this paper we present an automatic cardiac segmentation procedure with minimal user interaction. It is based on a combined bi-temporal statistical model of the left and right… 
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  • XuLei Yang, S. Yeo, R. Tan
  • Computer Science
    2013 IEEE International Conference on Systems, Man, and Cybernetics
  • 2013
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User intervention based segmentation of Myocardium In cardiac cine MRI images
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A comprehensive and critical overview of research on the whole heart, bi-ventricles and left atrium segmentation methods from computed tomography, magnetic resonance imaging and echocardiography imaging is presented.
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Automated Segmentation of the Left Ventricle in Cardiac MRI
A fully automated deformable model technique for myocardium segmentation in 3D MRI is presented and a prior parametric spatially varying feature model is established by classification of grey value surface profiles.
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A novel ASM candidate point generation method based on a Fuzzy Inference System (FIS), which uses image patches as an input, which shows substantial improvement for endocardial contours and the resulting volume errors decrease considerably.
Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association.
Attempts to standardize these options for all cardiac imaging modalities should be based on the sound principles that have evolved from cardiac anatomy and clinical needs.
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Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images
An automated method for the segmentation of thrombus in abdominal aortic aneurysms from CTA data is presented. The method is based on Active Shape Model (ASM) fitting in sequential slices, using the
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The potential of Independent Component Analysis (ICA) to extract local myocardial contractility patterns and to use them for the automatic detection of regional abnormalities is explored.
ICA vs. PCA Active Appearance Models: Application to Cardiac MR Segmentation
The use of ICA results in a substantial improvement in border localization accuracy over a PCA-based model, and a method for ordering the Independent Components is presented.
Four-Chamber 3-D Statistical Shape Model from Cardiac Short-Axis and Long-Axis MR Images
A new statistical atlas of the heart consisting of atrias, ventricles and epicardium is described, constructed by combining information on standard short-axis and long-axis cardiac MR images.
CT Anatomy of the heart
  • L. Boxt
  • Medicine
    The International Journal of Cardiovascular Imaging
  • 2004
Contrast-enhanced ECG-gated multidetector CT provides high contrast and spatial resolution for imaging the thoracic organs andreciation of normal structure is the foundation for detecting the abnormal.