Results 1 to 10 of about 630,747 (405)

Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis [PDF]

open access: yes2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
Tagged magnetic resonance imaging (MRI) is a widely used imaging technique for measuring tissue deformation in moving organs. Due to tagged MRI's intrinsic low anatomical resolution, another matching set of cine MRI with higher resolution is sometimes acquired in the same scanning session to facilitate tissue segmentation, thus adding extra time and ...
Xiaofeng Liu   +6 more
arxiv   +3 more sources

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI [PDF]

open access: yesSTACOM@MICCAI, 2019
Use expert visualization or conventional clinical indices can lack accuracy for borderline classications. Advanced statistical approaches based on eigen-decomposition have been mostly concerned with shape and motion indices. In this paper, we present a new approach to identify CVDs from cine-MRI by estimating large pools of radiomic features ...
Irem Cetin   +6 more
arxiv   +3 more sources

Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images [PDF]

open access: yesSTACOM@MICCAI, 2017
Segmentation of the heart in cardiac cine MR is clinically used to quantify cardiac function. We propose a fully automatic method for segmentation and disease classification using cardiac cine MR images.
Isgum, Ivana   +3 more
core   +3 more sources

A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices

open access: yesPhilosophical Transactions of the Royal Society A, 2021
Cardiac magnetic resonance (CMR) imaging is a valuable modality in the diagnosis and characterization of cardiovascular diseases, since it can identify abnormalities in structure and function of the myocardium non-invasively and without the need for ...
Abhirup Banerjee   +7 more
semanticscholar   +1 more source

Effect of Copper-Containing Stainless Steel on Apoptosis of Cor-onary Artery Smooth Muscle Cells

open access: yesIranian Journal of Public Health, 2021
Background: We aimed to investigate the effect of copper stainless steel on apoptosis of vascular smooth muscle cells in coronary artery. Methods: The study was carried out in 2019 at Hubei University of Medicine, Xiangyang, China.
Hui Li   +5 more
doaj   +1 more source

Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion [PDF]

open access: yesInternational Journal of Imaging Systems and Technology 34.4 (2024): e23131, 2023
Cardiac cine magnetic resonance imaging (MRI) is one of the important means to assess cardiac functions and vascular abnormalities. Mitigating artifacts arising during image reconstruction and accelerating cardiac cine MRI acquisition to obtain high-quality images is important.
arxiv   +1 more source

A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation [PDF]

open access: yesMedical Physics (Lancaster), 2019
PURPOSE Cardiac image segmentation is a critical process for generating personalized models of the heart and for quantifying cardiac performance parameters.
Shusil Dangi, Z. Yaniv, C. Linte
semanticscholar   +1 more source

Efficient spiral in‐out and EPI balanced steady‐state free precession cine imaging using a high‐performance 0.55T MRI

open access: yesMagnetic Resonance in Medicine, 2020
Low‐field MRI offers favorable physical properties for SNR‐efficient long readout acquisitions such as spiral and EPI. We used a 0.55 tesla (T) MRI system equipped with high‐performance hardware to increase the sampling duty cycle and extend the TR of ...
Matthew C. Restivo   +4 more
semanticscholar   +1 more source

Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI.

open access: yesRadiology, 2019
Background Renal impairment is common in patients with coronary artery disease and, if severe, late gadolinium enhancement (LGE) imaging for myocardial infarction (MI) evaluation cannot be performed.
Nan Feng Zhang   +10 more
semanticscholar   +1 more source

Deep Learning-based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study.

open access: yesRadiology, 2019
Purpose To develop a deep learning-based method for fully automated quantification of left ventricular (LV) function from short-axis cine MR images and to evaluate its performance in a multivendor and multicenter setting.
Q. Tao   +13 more
semanticscholar   +1 more source

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