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Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression
Cardiac four-chamber volume estimation serves as a fundamental and crucial role in clinical
quantitative analysis of whole heart functions. It is a challenging task due to the huge …
quantitative analysis of whole heart functions. It is a challenging task due to the huge …
Unsupervised myocardial segmentation for cardiac BOLD
A fully automated 2-D+ time myocardial segmentation framework is proposed for cardiac
magnetic resonance (CMR) blood-oxygen-level-dependent (BOLD) data sets. Ischemia …
magnetic resonance (CMR) blood-oxygen-level-dependent (BOLD) data sets. Ischemia …
Dictionary-driven ischemia detection from cardiac phase-resolved myocardial BOLD MRI at rest
Cardiac Phase-resolved Blood-Oxygen-Level Dependent (CP-BOLD) MRI provides a
unique opportunity to image an ongoing ischemia at rest. However, it requires post …
unique opportunity to image an ongoing ischemia at rest. However, it requires post …
Unsupervised myocardial segmentation for cardiac MRI
Though unsupervised segmentation was a de-facto standard for cardiac MRI segmentation
early on, recently cardiac MRI segmentation literature has favored fully supervised …
early on, recently cardiac MRI segmentation literature has favored fully supervised …
Dictionary learning based image descriptor for myocardial registration of CP-BOLD MR
Abstract Cardiac Phase-resolved Blood Oxygen-Level-Dependent (CP-BOLD) MRI is a new
contrast agent-and stress-free imaging technique for the assessment of myocardial ischemia …
contrast agent-and stress-free imaging technique for the assessment of myocardial ischemia …
Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative: Data from the Osteoarthritis Initiative
Deformable model-based approaches to 3D image segmentation have been shown to be
highly successful. Such methodology requires an appearance model that drives the …
highly successful. Such methodology requires an appearance model that drives the …
Joint myocardial registration and segmentation of cardiac BOLD MRI
Registration and segmentation of anatomical structures are two well studied problems in
medical imaging. Optimizing segmentation and registration jointly has been proven to …
medical imaging. Optimizing segmentation and registration jointly has been proven to …
Data-driven feature learning for myocardial registration and segmentation
This chapter discusses novel techniques for the tasks of segmentation and registration
separately and jointly. In particular, the feature learning is tested on cardiac phase-resolved …
separately and jointly. In particular, the feature learning is tested on cardiac phase-resolved …