Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Medical Microwave Imaging Using Physics-Guided Deep Learning-Part 1: The Forward Solver.

IEEE transactions on medical imaging·2025
Same author

Calibrated Frequency-Division Distorted Born Iterative Tomography for Real-Life Head Imaging.

IEEE transactions on medical imaging·2021
Same author

Glucocorticoids impair bone formation of bone marrow stromal stem cells by reciprocally regulating microRNA-34a-5p.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2015
Same author

Measurements of Elliptic and Triangular Flow in High-Multiplicity 3He+Au Collisions at √(s(NN))=200 GeV.

Physical review letters·2015
Same author

Isolation and expression analysis of four HD-ZIP III family genes targeted by microRNA166 in peach.

Genetics and molecular research : GMR·2015
Same author

An evaluation of motor evoked potential surrogate endpoints during intracranial vascular procedures.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2015

相关实验视频

Updated: Jul 15, 2026

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
10:48

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

9.9K

医学微波成像使用物理导向深度学习 第2部分:反向解决器

L Guo, A Bialkowski, A Abbosh

    IEEE transactions on medical imaging
    |January 14, 2026
    PubMed
    概括

    一种由扭曲的Born代方法 (DBIM) 启发的新型深度学习方法改善了医疗微波断层扫描. 这种方法准确地重建异常组织,克服当前深度学习技术的局限性,以获得更好的诊断准确性.

    科学领域:

    • 医疗成像医学成像
    • 计算电磁学 计算机电磁学
    • 人工智能的人工智能

    背景情况:

    • 传统的医疗微波断层扫描存在一些错误的问题和高的计算成本.
    • 目前在这个领域的深度学习方法可能会错过关键细节,导致潜在的误诊.
    • 现有的以物理为导向的深度学习方法往往难以有效地检测异常组织.

    研究的目的:

    • 开发一个超越医疗微波断层扫描当前方法的局限性的深度神经网络.
    • 改进医学微波成像中异常组织的检测和重建.
    • 为现有的代物理引导深度学习算法的失败提供理论基础.

    主要方法:

    • 由扭曲的Born代方法 (DBIM) 启发的深度神经网络被开发出来,避免使用Green的函数.
    • 该网络包括前置神经网络解决器和反向神经网络块,用于介电对比度更新.
    • 培训使用混合损失函数 (两个监督,一个自我监督) 在一个序列代框架中模拟DBIM.

    主要成果:

    • 与现有的深度学习算法相比,提出的方法在准确度方面取得了显著的改进.
    • 定量评估显示,相对误差 (19%),结构相似性 (18%),子系数 (40%) 和豪斯多夫距离 (72%) 的改善.

    更多相关视频

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
    14:14

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

    Published on: August 12, 2018

    9.3K
    Magnetic Resonance-Guided Stereotaxy for Infusions to the Pig Brain
    08:23

    Magnetic Resonance-Guided Stereotaxy for Infusions to the Pig Brain

    Published on: March 31, 2023

    3.0K

    相关实验视频

    Last Updated: Jul 15, 2026

    PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
    10:48

    PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

    Published on: December 28, 2017

    9.9K
    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
    14:14

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

    Published on: August 12, 2018

    9.3K
    Magnetic Resonance-Guided Stereotaxy for Infusions to the Pig Brain
    08:23

    Magnetic Resonance-Guided Stereotaxy for Infusions to the Pig Brain

    Published on: March 31, 2023

    3.0K
  • 该网络通过计算电气性质干扰来准确地重建由健康组织发出的信号掩盖的异常组织.

    • 结论:

    • 拟议的DBIM灵感的深度学习方法为医疗微波断层扫描提供了强大的解决方案.
    • 这种方法提高了细微异常的检测,提高了临床环境中的诊断可靠性.
    • 研究结果表明,这种方法比目前的深度学习技术更适合于现实生活中的临床应用.