Chrome Extension
WeChat Mini Program
Use on ChatGLM

Imaging Methods: Magnetic Resonance Imaging

Circulation: Cardiovascular Imaging(2023)

University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR) | Kings Coll London

Cited 9|Views36
Abstract
Myocardial inflammation occurs following activation of the cardiac immune system, producing characteristic changes in the myocardial tissue. Cardiovascular magnetic resonance is the non-invasive imaging gold standard for myocardial tissue characterization, and is able to detect image signal changes that may occur resulting from inflammation, including edema, hyperemia, capillary leak, necrosis, and fibrosis. Conventional cardiovascular magnetic resonance for the detection of myocardial inflammation and its sequela include T2-weighted imaging, parametric T1- and T2-mapping, and gadolinium-based contrast-enhanced imaging. Emerging techniques seek to image several parameters simultaneously for myocardial tissue characterization, and to depict subtle immune-mediated changes, such as immune cell activity in the myocardium and cardiac cell metabolism. This review article outlines the underlying principles of current and emerging cardiovascular magnetic resonance methods for imaging myocardial inflammation.
More
Translated text
Key words
cardiac imaging techniques,immune system,inflammation,magnetic resonance imaging
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers

Prognostic Utility of Cardiovascular Magnetic Resonance-Based Phenotyping in Patients with Muscular Dystrophy

Niharika Kashyap,Anish Nikhanj,Dina Labib, Easter Prosia,Sandra Rivest,Jacqueline Flewitt, Gerald Pfeffer, Jeffrey A. Bakal,Zaeem A. Siddiqi, Richard A. Coulden, Richard Thompson,James A. White,
JOURNAL OF THE AMERICAN HEART ASSOCIATION 2023

被引用1

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文概述了心血管磁共振成像技术在心肌炎症成像中的当前和新兴方法。

方法】:文章对比了传统和新兴的心血管磁共振成像技术。

实验】:研究使用了T2加权成像、参数化T1和T2映射以及含钆增强成像来检测心肌炎症及其后果,同时新兴技术尝试同时成像多个参数以描绘微妙的免疫介导变化。