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协同调整心肌放射性特征对心脏MRI获取参数敏感
Sarv Priya1, Durjoy D Dhruba1, Eldon Sorensen1
1From the Department of Radiology, University of Iowa Carver College of Medicine, 200 Hawkins Dr, Iowa City, IA 52242 (S.P., S.N.); Department of Electrical and Computer Engineering (D.D.D., M.J.) and Department of Biostatistics (E.S., K.D.C.), University of Iowa, Iowa City, Iowa; Department of Radiology, University of Miami, Miller School of Medicine, Miami, Fla (P.Y.A.); and Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (P.N.).
康巴协同显著提高了心脏MRI放射性特征的稳定性,以抵御成像参数变化. 参数式ComBat方法被证明是最有效的,在所有序列中提高了特征稳定性.
科学领域:
- 医疗成像医学成像
- 无线电学 (Radiomics) 是一种辐射学.
- 生物统计学 生物统计学
背景情况:
- 从心脏MRI中获得的放射性特征对成像参数的变化敏感.
- 这些特征的标准化对于可靠的分析和临床翻译至关重要.
- 康巴统一是减少批量效应和提高数据一致性的统计方法.
研究的目的:
- 评估ComBat协调技术对心脏MRI放射性特征的强度的影响.
- 在成像参数的变化下评估放射性特征的稳定性.
- 为了比较不同的ComBat方法在协调心脏MRI放射性数据方面的有效性.
主要方法:
- 对16名参与者 (11名健康对照组,5名患者) 的心脏MRI数据的回顾性分析.
- 获取cine,T1加权,T2加权,T1映射和T2映射序列的基线和各种成像参数.
- 使用科恩的d灵敏度提取1652个放射性特征并评估稳定性,有或没有ComBat协调 (参数,非参数,GMM).
主要成果:
- 没有ComBat,只有51.4%的放射性特征对成像参数变化具有强度.
- 参数式ComBat协调使特征稳定性提高到95.1%,而非参数式ComBat则提高到90.9%.
- 高斯混合模型 (GMM) ComBat导致稳定性较低,为52.6%.
结论:
- 康巴协同显著提高心脏MRI放射性特征的稳定性.
- 参数式ComBat是增强特征稳定性的最有效方法,可以应对成像参数变化.
- 这些发现支持使用ComBat协调用于心脏MRI中更可靠的放射性分析.
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