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相关概念视频

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相关实验视频

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全身扩散MRI正常地图:开发,评估和初始使用.

Therese Sjöholm1, Sambit Tarai1, Filip Malmberg2

  • 1Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Cancer imaging : the official publication of the International Cancer Imaging Society
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概括

针对健康志愿者,开发了1.5T和3T的全身扩散图谱. 这些图谱通过结合健康组织变异来改善自动瘤细分,有助于医学成像分析.

关键词:
这是一个ADCADC ADC.自动化细分系统 自动化细分系统淋巴瘤是一种淋巴瘤.正常的亚特拉斯是一个普通的亚特拉斯.精确度 精确度 精确度 精确度沃克塞尔智能分析分析整个身体的酒后驾驶.

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科学领域:

  • 医疗成像医学成像
  • 放射学 放射学是一门学科.
  • 生物医学工程 生物医学工程

背景情况:

  • 统计图谱对于在医学成像中分析健康和病人群体至关重要.
  • 在1.5T和3T磁共振成像 (MRI) 领域开发全身扩散图谱对于全面分析至关重要.
  • 通过确定正常的显微扩散系数 (ADC) 值和评估健康组织偏差来评估这些图谱,这是临床应用的关键.

研究的目的:

  • 从1.5T和3T扫描的健康志愿者中创建全身扩散图谱.
  • 为了确定全身明显扩散系数 (ADC) 对健康组织的值.
  • 将健康组织偏差数据集成到自动瘤细分中.

主要方法:

  • 在1.5T和3T的45名健康志愿者身上获得了多站全身扩散加权成像 (DWI) 和水脂肪MRI.
  • 利用可变形图像注册来创建正常的地图,并测量健康组织ADCmean,具有测试-重新测试可靠性.
  • 评估了年龄,性别和扫描仪对ADC的影响,并在使用3D U-Net架构的自动瘤细分任务中应用图谱.

主要成果:

  • 在1.5T和3T开发了性别和BMI分层的全身DWI和ADC正常地图.
  • 健康组织ADC平均可重复系数 (%RC) 变化 (在1.5T时为4-48%,在3T时为6-70%),在特定组织中具有可测量的性别差异.
  • 年龄在肝脏,骨和脑组织中与ADC有不同的关联;结合健康组织偏差数据改进了自动瘤细分指标.

结论:

  • 在1.5T和3T成功创建了全身扩散加权成像 (DWI) 和明显扩散系数 (ADC) 正常图谱.
  • 证明了这些图谱在全身 voxel-wise 分析中的实用性,包括自动瘤细分.
  • 开发的地图集为健康人群和疾病状态的定量MRI分析提供了宝贵的资源.