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相关概念视频

Computed Tomography01:10

Computed Tomography

6.4K
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...
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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
465
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

57
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...
57
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

61
IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
72
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
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相关实验视频

Updated: Sep 19, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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基于双能CT的虚拟单能成像通过无监督学习.

Chi-Kuang Liu1, Hui-Yu Chang2, Hsuan-Ming Huang3,4

  • 1Department of Medical Imaging, Changhua Christian Hospital, 135 Nanxiao St., Changhua, 500, Taiwan.

Physical and engineering sciences in medicine
|May 31, 2025
PubMed
概括

一种新的无监督深度学习方法从双能计算断层扫描 (DECT) 中生成虚拟单能图像 (VMI). 这种方法可以提高VMI质量,而不需要标记数据,为临床应用提供更好的图像清晰度.

关键词:
双能量计算机断层扫描技术没有监督的学习学习.虚拟单能成像 虚拟单能成像

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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

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Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
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Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

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科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 放射学 放射学是一门学科.

背景情况:

  • 从双能计算断层扫描 (DECT) 进行的虚拟单能成像 (VMI) 是临床上有价值的,但在低keV时会受到增加的噪声的影响.
  • 现有的VMI方法通常需要大量的训练数据或标记的数据集,限制了它们的应用.

研究的目的:

  • 开发和评估一种无监督深度学习 (DL) 方法,直接从DECT数据生成高质量的VMI.
  • 与传统的基于DECT的VMI相比,评估DL生成的VMI的图像质量和定量准确性.

主要方法:

  • 一个无监督的DL模型被设计为从DECT图像生成VMI,而不需要标记的VMI数据.
  • 该模型通过将从预测的VMI中得出的测量和重新计算的DECT图像之间的差异最小化来训练,从而强制执行理论约束.
  • 该方法使用患者的DECT数据进行了验证,将基于DL的VMI与基于DECT的传统VMI进行比较.

主要成果:

  • 与传统的基于DECT的VMIs相比,基于DL的VMIs显示了更好的图像质量.
  • 骨的CT数量差异为±10 HU,软组织 (大脑,脂肪,肌肉) 的差异为±5 HU.
  • 对于大多数组织 (p > 0.01),除了骨外,两种方法之间没有观察到CT数量测量的统计学上显著差异.

结论:

  • 无监督深度学习提供了一个有前途的方法,可以直接从DECT.提供高质量的虚拟单能图像.
  • 这种方法克服了低keV噪声的局限性和需要标记训练数据的需求.
  • 基于DL的VMI显示了在各种临床应用中提高诊断准确性的潜力.