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

@inproceedings{Fritz2006SegmentationOT,
  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},
  year={2006}
}
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… 
Automatic 4D segmentation of the left ventricle in cardiac-CT-data
TLDR
A novel approach for the 4D segmentation of the left ventricle in cardiac-CT-data uses a novel approach based on the individual volume curve for the interpolation between ED and ES and afterwards an active contour algorithm for the final segmentation.
Right Ventricle Segmentation by Temporal Information Constrained Gradient Vector Flow
  • XuLei Yang, S. Yeo, R. Tan
  • Computer Science
    2013 IEEE International Conference on Systems, Man, and Cybernetics
  • 2013
TLDR
This paper presents a 2D + T active contour model for segmentation and tracking of RV endocardium on cardiac magnetic resonance (MR) images and proposes to integrate the time-dependent constraints into the energy functional of the classical gradient vector flow (GVF).
Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features
TLDR
An automatic four-chamber heart segmentation system for the quantitative functional analysis of the heart from cardiac computed tomography (CT) volumes is proposed and an efficient and robust approach for automatic heart chamber segmentation in 3D CT volumes is developed.
User intervention based segmentation of Myocardium In cardiac cine MRI images
TLDR
This work presents user intervention based semi-automatic method for segmentation in short axis images, which includes various segmentation methods like graph-cut, watershed and the threshold based segmentation to calculate wall thickness and ejection factor which are of clinical importance.
A fully automatic cardiac segmentation method using region growing technique
TLDR
A fully automatic cardiac segmentation of the right ventricle (RV) based on region growing (RG) technique, which can segment the area of the RV from the basal to the apical slices at End-systolic (ES) and Enddiastolic (ED) phases is presented.
A Novel Model-Based 3D ${+}$Time Left Ventricular Segmentation Technique
A common approach to model-based segmentation is to assume a top-down modelling strategy. However, this is not feasible for complex 3D +time structures, such as the cardiac left ventricle, due to
Overview of the Whole Heart and Heart Chamber Segmentation Methods.
TLDR
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.
Left ventricle myocardium segmentation in multi-slice computerized tomography
TLDR
A left ventricle myocardium segmentation method in multi-slice computerized tomography images based on level-sets deformable contours is described, intended for incorporation within a software platform for visualization and processing of cardiac images.
Left ventricle segmentation from MSCT data based on random walks approach
TLDR
An improved robust semi-automated approach is presented for segmentation of cavity and myocardium from 3D cardiac multi-slice CT (MSCT) dataset based on random walks and 6-connected lattice topology and Conjugate Gradient method have been applied in the random walker algorithm to promote the segmentation performance of 3D dataset.
...
...

References

SHOWING 1-10 OF 31 REFERENCES
Automatic segmentation of the left ventricle and computation of diagnostic parameters using regiongrowing and a statistical model
TLDR
This work presents a semi-automatic cardiac segmentation approach with minimal user interaction based on a combination of an adaptive slice-based regiongrowing and a modified Active Shape Model (ASM).
Automated Segmentation of the Left Ventricle in Cardiac MRI
TLDR
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.
Cardiac LV Segmentation Using a 3D Active Shape Model Driven by Fuzzy Inference
TLDR
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.
TLDR
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.
Bi-temporal 3D active appearance models with applications to unsupervised ejection fraction estimation
TLDR
Cross-validation carried out on clinical-quality scans of twelve volunteers indicates that ejection fraction and cardiac blood pool volumes can be estimated automatically and rapidly with accuracy on par with typical inter-observer variability.
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
Detecting Regional Abnormal Cardiac Contraction in Short-Axis MR Images Using Independent Component Analysis
TLDR
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
TLDR
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
TLDR
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
TLDR
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.
...
...