里程碑匹配和B-spline隐性神经表示用于扩散加权成像扭曲校正
Yunxiang Li1, Yen-Peng Liao2, Yan Dai3
1Department of Radiation Oncology, The University of Texas Southwestern Medical Center, 2280 Inwood Rd, Dallas, Texas, 75390-9096, UNITED STATES.
Physics in medicine and biology
|February 3, 2026
概括
扩散权重成像 (DWI) 中的几何扭曲阻碍了放射治疗计划. 这项研究引入了一个新的框架,用于准确地纠正DWI扭曲,改善瘤划分和治疗评估.
科学领域:
- 医疗成像医学成像
- 辐射疗法 辐射疗法
- 计算解剖学的计算解剖学
背景情况:
- 扩散权重成像 (DWI) 中的几何扭曲阻碍了精确的瘤划分和定位用于放射治疗.
- 传统的相互信息优化方法用于纠正这些扭曲,通常会导致由于局部最小值而导致非光滑和物理不合理的变形.
研究的目的:
- 提出和评估一个新的地标匹配 B-spline 隐性神经表示 (LMBS-INR) 框架,以准确地纠正 DWI 扭曲.
- 通过整合解剖标志对应和B-spline变形场来克服传统优化方法的局限性.
主要方法:
- LMBS-INR框架使用基础地标匹配模型来建立解剖学对应.
- 采用富里埃编码的多层感知子建模的B-spline变形场,确保物理上可信的转换,以便在DWI和解剖参考之间进行强大的多模式注册.
主要成果:
- 拟议的方法在脑和腹部数据集上表现出卓越的性能,达到高的子系数 (脑为0.919 ± 0.038,腹部为0.926 ± 0.032).
- 对模拟数据的评估产生了出色的指标,包括PSNR (25.912 ± 3.148 dB),NCC (0.911 ± 0.137) 和SSIM (0.888 ± 0.107),优于所有基线方法.
结论:
- LMBS-INR框架通过将B-spline参数化与基础模型功能相结合,有效地纠正DWI中的几何扭曲.
- 这种方法为放射治疗内/后的评估提供了更高的精度,提高了DWI在临床实践中的实用性.
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