...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of biomedical optics >Optimization of image reconstruction for magnetic resonance imaging-guided near-infrared diffuse optical spectroscopy in breast
【24h】

Optimization of image reconstruction for magnetic resonance imaging-guided near-infrared diffuse optical spectroscopy in breast

机译：乳腺磁共振成像引导的近红外漫射光谱的图像重建优化

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

An optimized approach to nonlinear iterative reconstruction of magnetic resonance imaging (MRI)-guided near-infrared spectral tomography (NIRST) images was developed using an L-curve-based algorithm for the choice of regularization parameter. This approach was applied to clinical exam data to maximize the reconstructed values differentiating malignant and benign lesions. MRI/NIRST data from 25 patients with abnormal breast readings (BI-RADS category 4-5) were analyzed using this optimal regularization methodology, and the results showed enhanced p values and area under the curve (AUC) for the task of differentiating malignant from benign lesions. Of the four absorption parameters and two scatter parameters, the most significant differences for benign versus malignant were total hemoglobin (HbT) and tissue optical index (TOI) with p values = 0.01 and 0.001, and AUC values = 0.79 and 0.94, respectively, in terms of HbT and TOI. This dramatically improved the values relative to fixed regularization (p value = 0.02 and 0.003; AUC = 0.75 and 0.83) showing that more differentiation was possible with the optimal method. Through a combination of both biomarkers, HbT and TOI, the AUC increased from 82.9% (fixed regulation = 0.1) to 94.3% (optimal method).
机译：使用基于L曲线的算法选择正则化参数，开发了优化的磁共振成像（MRI）制导的近红外光谱层析成像（NIRST）图像的非线性迭代重建方法。该方法已应用于临床检查数据，以最大化区分恶性和良性病变的重建值。使用这种最佳正则化方法分析了25例乳腺读数异常的患者（BI-RADS 4-5类）的MRI / NIRST数据，结果显示，增强的p值和曲线下面积（AUC）可用于区分恶性肿瘤和恶性肿瘤。良性病变。在四个吸收参数和两个散射参数中，良性和恶性的最显着差异是总血红蛋白（HbT）和组织光学指数（TOI），p值分别为0.01和0.001，AUC值分别为0.79和0.94。 HbT和TOI的条款。相对于固定正则化（p值分别为0.02和0.003； AUC分别为0.75和0.83），这大大改善了该值，表明使用最佳方法可以实现更多区分。通过结合使用HbT和TOI这两种生物标记，AUC从82.9％（固定调节= 0.1）增加到94.3％（最佳方法）。

著录项

  • 来源
    《Journal of biomedical optics》 |2015年第5期|056009.1-056009.10|共10页
  • 作者

    Yan Zhao; Michael A. Mastanduno; Shudong Jiang; Fadi El-Ghussein; Jiang Gui; Brian W. Pogue; Keith D. Paulsen;

  • 作者单位

    Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States;

    Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States;

    Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States;

    Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States;

    Dartmouth College, Geisel School of Medicine, Department of Community and Family Medicine, Hanover, New Hampshire 03755, United States;

    Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States;

    Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States,Dartmouth College, Geisel School of Medicine, Department of Community and Family Medicine, Hanover, New Hampshire 03755, United States,Dartmouth College, Geisel School of Medicine, Department of Diagnostic Radiology, Hanover, NH03755, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    diffuse optical tomography; near-infrared spectroscopy; regularization; image reconstruction;

    机译：漫射光学层析成像近红外光谱正规化;影像重建;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号