The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction.

IF 2 4区医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2024-07-01 Epub Date: 2024-06-20 DOI:10.1007/s10334-024-01179-2

Thomas Küstner, Chen Qin, Changyu Sun, Lipeng Ning, Cian M Scannell

引用次数: 0

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智能成像革命：MRI 和 MRS 采集与重建中的人工智能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Magnetic Resonance Materials in Physics, Biology and Medicine 医学-核医学

CiteScore

4.60

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： MAGMA is a multidisciplinary international journal devoted to the publication of articles on all aspects of magnetic resonance techniques and their applications in medicine and biology. MAGMA currently publishes research papers, reviews, letters to the editor, and commentaries, six times a year. The subject areas covered by MAGMA include: advances in materials, hardware and software in magnetic resonance technology, new developments and results in research and practical applications of magnetic resonance imaging and spectroscopy related to biology and medicine, study of animal models and intact cells using magnetic resonance, reports of clinical trials on humans and clinical validation of magnetic resonance protocols.