A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
Atlases encode valuable anatomical and functional information from a population. In this
work, a bi-ventricular cardiac atlas was built from a unique data set, which consists of high …
work, a bi-ventricular cardiac atlas was built from a unique data set, which consists of high …
[HTML][HTML] Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models
A probabilistic group-wise similarity registration technique based on Student's t-mixture
model (TMM) and a multi-resolution extension of the same (mr-TMM) are proposed in this …
model (TMM) and a multi-resolution extension of the same (mr-TMM) are proposed in this …
An algorithm for the segmentation of highly abnormal hearts using a generic statistical shape model
Statistical shape models (SSMs) have been widely employed in cardiac image
segmentation. However, in conditions that induce severe shape abnormality and …
segmentation. However, in conditions that induce severe shape abnormality and …
Simultaneous extraction of endocardial and epicardial contours of the left ventricle by distance regularized level sets
Purpose: Segmentation of the cardiac left ventricle (LV) is still an open problem and is
challenging due to the poor contrast between tissues around the epicardium and image …
challenging due to the poor contrast between tissues around the epicardium and image …
A bayesian approach to sparse model selection in statistical shape models
Groupwise registration of point sets is the fundamental step in creating statistical shape
models (SSMs). When the number of points on the sets varies across the population, each …
models (SSMs). When the number of points on the sets varies across the population, each …
Joint clustering and component analysis of correspondenceless point sets: application to cardiac statistical modeling
Abstract Construction of Statistical Shape Models (SSMs) from arbitrary point sets is a
challenging problem due to significant shape variation and lack of explicit point …
challenging problem due to significant shape variation and lack of explicit point …
Reusability of statistical shape models for the segmentation of severely abnormal hearts
Statistical shape models have been widely employed in cardiac image segmentation. In
practice, however, the construction of the models is faced with several challenges, in …
practice, however, the construction of the models is faced with several challenges, in …
[HTML][HTML] Enlargement, subdivision and individualization of statistical shape models: application to 3D medical image segmentation
M Pereañez - 2017 - dialnet.unirioja.es
Enlargement, subdivision and individualization of statistical shape models: Application to 3d
medical image segmentation - Dialnet Ayuda ¿En qué podemos ayudarle? × Buscar en la …
medical image segmentation - Dialnet Ayuda ¿En qué podemos ayudarle? × Buscar en la …
Artificially enriching the training dataset of statistical shape models via constrained cage-based deformation
S Alimohamadi Gilakjan, J Hasani Bidgoli… - Australasian Physical & …, 2019 - Springer
The construction of a powerful statistical shape model (SSM) requires a rich training dataset
that includes the large variety of complex anatomical topologies. The lack of real data …
that includes the large variety of complex anatomical topologies. The lack of real data …
A supervised correspondence method for statistical shape model building
G Li, H Honda, Y Yoshino, H Kim… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
The construction of statistical shape model (SSM) is an important research topic in medical
imaging benefited from its robust and nature represent of anatomical structures. Place …
imaging benefited from its robust and nature represent of anatomical structures. Place …