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

Computed Tomography01:10

Computed Tomography

7.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.6K
Positron Emission Tomography01:29

Positron Emission Tomography

6.2K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
6.2K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

893
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
893

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

A Novel Strategy for Achieving Immunomodulation and Osseointegration of Titanium Alloys: Boron-Doped Porous Coating Modification.

Advanced healthcare materials·2026
Same author

Enhancing compressed sensing and parallel imaging accelerated magnetic resonance angiography using a dual-domain projection generative adversarial network.

Medical physics·2026
Same author

Wind-power curve anomaly type recognition via image-topology-semantic multi-feature fusion and contrastive learning.

Scientific reports·2026
Same author

Few shots transfer learning for universal SPECT denoising across diverse acquisition protocols.

Physics in medicine and biology·2026
Same author

Deep learning‑based ultra-high-resolution CT imaging of viral pneumonia at admission and after discharge.

BMC medical imaging·2026
Same author

Clinical validation of a deep learning model for low-count PET image enhancement.

European journal of nuclear medicine and molecular imaging·2025

相关实验视频

Updated: May 5, 2026

Combined In vivo Optical and µCT Imaging to Monitor Infection, Inflammation, and Bone Anatomy in an Orthopaedic Implant Infection in Mice
18:40

Combined In vivo Optical and µCT Imaging to Monitor Infection, Inflammation, and Bone Anatomy in an Orthopaedic Implant Infection in Mice

Published on: October 16, 2014

17.2K

通过深度学习增强实现的快速SPECT/CT平面骨成像.

Zhenglin Pan1, Na Qi2, Qingyuan Meng2

  • 1RadioDynamic Healthcare, Shanghai, China.

Medical physics
|April 23, 2024
PubMed
概括

深度学习增强了快速的骨扫描,从快速扫描中生成高质量的图像. 这种方法提高了诊断价值,并显示了在临床实践中高效,高质量的骨图像成像的潜力.

关键词:
骨光学扫描 (骨光学扫描) 是一种骨光学扫描.深度学习 (Deep Learning) 是一种深度学习.快速扫描可以快速扫描.

更多相关视频

A Sectioning, Coring, and Image Processing Guide for High-Throughput Cortical Bone Sample Procurement and Analysis for Synchrotron Micro-CT
07:10

A Sectioning, Coring, and Image Processing Guide for High-Throughput Cortical Bone Sample Procurement and Analysis for Synchrotron Micro-CT

Published on: June 12, 2020

5.1K
Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research
07:29

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

723

相关实验视频

Last Updated: May 5, 2026

Combined In vivo Optical and µCT Imaging to Monitor Infection, Inflammation, and Bone Anatomy in an Orthopaedic Implant Infection in Mice
18:40

Combined In vivo Optical and µCT Imaging to Monitor Infection, Inflammation, and Bone Anatomy in an Orthopaedic Implant Infection in Mice

Published on: October 16, 2014

17.2K
A Sectioning, Coring, and Image Processing Guide for High-Throughput Cortical Bone Sample Procurement and Analysis for Synchrotron Micro-CT
07:10

A Sectioning, Coring, and Image Processing Guide for High-Throughput Cortical Bone Sample Procurement and Analysis for Synchrotron Micro-CT

Published on: June 12, 2020

5.1K
Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research
07:29

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

723

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 核医学是一种核医学.

背景情况:

  • 深度学习在减少SPECT扫描持续时间方面表现有前途.
  • 以前的模型使用模拟数据;由于扫描错位,现实世界的验证是有限的.
  • 加快骨光学测试对于患者的舒适性和吞吐量至关重要.

研究的目的:

  • 开发一种深度学习方法,从2x和3x加速扫描中生成高质量的全身骨图像.
  • 在真实临床数据上验证方法的有效性.

主要方法:

  • 一项针对76名患者的前性研究,这些患者接受了标准和加速 (2x,3x) 全身骨扫描.
  • 使用基于残余在残余密集块 (RRDB) 的内容注意力图像恢复方法.
  • 通过学习感知图像补丁相似性 (LPIPS),Fréchet发射距离 (FID) 和专家医生审查评估图像质量.

主要成果:

  • 该方法在FID和LPIPS中实现了对2x和3x快速扫描的最先进性能.
  • 与快速扫描相比,恢复的图像显示了质量,Tc-99m MDP 分布和文物减少的显著改善.
  • 核医生证实,加速图像增强了诊断信心.

结论:

  • 深度学习方法有效地提高了使用真实临床数据加速全身骨扫描的图像质量.
  • 该方法证明了对错位的稳定性,并提高了诊断价值.
  • 这种技术有可能在临床环境中实现高效,高质量的骨快速成像.