专用圆束乳房CT:用先进的图像重建方法重现体积腺体断片的可再生性
Srinivasan Vedantham1,2, Hsin Wu Tseng1, Zhiyang Fu1
1Department of Medical Imaging, University of Arizona, Tucson, AZ 85724, USA.
Tomography (Ann Arbor, Mich.)
|November 21, 2023
概括
专门的圆束乳腺计算机断层扫描 (CBBCT) 为乳腺癌查提供3D成像. 先进的重建方法准确地复制体积腺体分数 (VGF),这是风险评估的关键乳腺密度指标.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 计算成像技术的成像
背景情况:
- 专用圆束乳房计算机断层扫描 (CBBCT) 是一种新兴的3D成像模式,用于非压缩的乳房.
- 放射性乳腺密度是已知的乳腺癌风险因素之一.
- 准确的体积乳腺密度评估对于风险分层至关重要.
研究的目的:
- 在CBBCT中使用不同的图像重建方法,研究体积腺体分数 (VGF) 的可重复性.
- 将高级重建算法与VGF计算的标准费尔德坎普-戴维斯-克雷斯 (FDK) 方法进行比较.
主要方法:
- 评估了四种重建方法:FDK,FRIST (压缩感应),MS-RDN (深度学习) 和N2N (自我监督学习).
- 来自106名女性的投影数据集在0.273 mm3.3的同otropic voxel大小下被重建.
- 乳房体积被细分,以计算VGF,纤维腺组织与乳房总体积 (不包括皮肤) 的比率.
主要成果:
- 在四种重建方法中没有观察到VGF的显著差异 (p = 0.167).
- 先进的重建算法 (FRIST,MS-RDN,N2N) 与标准的FDK方法相比没有显著差异 (p > 0.862).
- 所有测试方法都可靠地复制了VGF,表明一致的定量乳腺密度评估.
结论:
- 对于低剂量CBBCT的高级图像重建算法可以准确地重现VGF.
- 这些方法为估计乳腺癌风险提供可靠的定量乳腺密度测量.
- 这些发现支持CBBCT的临床转化,用于乳腺癌查和风险评估.
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