Whole-heart-and-great-vessel-segmentation-of-chd_segmentation A dataset of whole heart and great vessel segmentation of chd_segmentation is published.Our dataset includes 68 CT images with labels. The label includes left ventricle (label: 1), right ventricle (label: 2), left atrium (label: 3...
related paper 摘要 In this paper,we propose a novel heart segmentation pipeline Combining Faster R-CNN and U-net Network (CFUN). Due to Faster R-CNN’s precise localization ability and U-net’s powerful segmentation ability, CFUN needs only ...
different levels of the structural information of images for multi-level local atlas ranking. Both the local and global atlas ranking steps use the information theoretic measures to compute the similarity between the target im- age and the atlases from multiple modalities. The proposed segmentation sc...
Manual whole-heart segmentation is a time-consuming process, prone to subjectivity and error. Therefore, there is a need to develop a quick, automatic, and accurate whole heart segmentation systems. Nowadays, convolutional neural networks (CNNs) emerged as a robust approach for medical image ...
American Heart Association Writing Group on Myocardial Segmentation and Registration for Cardiac Imaging: 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 ...
These measurements were normalized to fetal weight, which was calculated based on expert manual segmentation of the fetus60 using structural scans acquired in the same session. The seven volumetric 4D datasets were anonymised and presented to each expert reader for analysis of mean flow values in ...
The measurements were done by two clinicians trained in cardiac MR (with 5 years of experience) using manual segmentation of end-diastolic and end-systolic myocardial boundaries in each slice. Bland-Altman analysis [32] was used to assess the agreement between the measurements obtained with the ...
Model-based Automatic Segmentation Algorithm Accurately Assesses the Whole Cardiac Volumetric Parameters in Patients with Cardiac CT Angiography: A Validat... The cardiac chamber volumes and functions can be assessed manually and automatically using the current computed tomography (CT) workstation system....
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 J Nucl Cardiol (2002) V.M. Ferreira et al. Systolic ShMOLLI my...
The initial segmentation of the cardiac blood space and the tracking of the blood-tissue boundary depended largely on the threshold intensity value used during segmentation, and could vary significantly with different threshold. This created uncertainty as to which threshold would be realistic. Optimizati...