Suppr超能文献

基于查找表的反演模型用于确定混浊介质的光学特性。

Lookup table-based inverse model for determining optical properties of turbid media.

作者信息

Rajaram Narasimhan, Nguyen Tri H, Tunnell James W

机构信息

The University of Texas at Austin, Department of Biomedical Engineering, 1 University Station C0800, Austin, TX 78712, USA.

出版信息

J Biomed Opt. 2008 Sep-Oct;13(5):050501. doi: 10.1117/1.2981797.

Abstract

We present a lookup table (LUT)-based inverse model for determining the optical properties of turbid media from steady-state diffuse reflectance spectra that is valid for fiber-based probe geometries with close source-detector separations and tissue with low albedo. The lookup table is based solely on experimental measurements of calibration standards. We used tissue-simulating phantoms to validate the accuracy of the LUT inverse model. Our results show excellent agreement between the expected and extracted values of the optical parameters. In addition, the LUT represents a significant improvement in accuracy at short source-detector separations (300 microm) and low albedo (approximately 0.35). We also present in vivo data from clinically normal and malignant nonmelanoma skin cancers fit to the LUT-based model.

摘要

我们提出了一种基于查找表(LUT)的逆模型,用于从稳态漫反射光谱确定浑浊介质的光学特性,该模型适用于源探测器间距较小且反照率较低的基于光纤的探头几何结构和组织。查找表仅基于校准标准的实验测量。我们使用组织模拟体模来验证LUT逆模型的准确性。我们的结果表明,光学参数的预期值和提取值之间具有极佳的一致性。此外,在短源探测器间距(300微米)和低反照率(约0.35)情况下,LUT在准确性方面有显著提高。我们还展示了临床正常和恶性非黑色素瘤皮肤癌的体内数据,这些数据与基于LUT的模型相拟合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8ac/2627585/1cef34ad94ad/nihms86205f1.jpg

相似文献

引用本文的文献

5
Neural network-based inverse model for diffuse reflectance spectroscopy.基于神经网络的漫反射光谱逆模型
Biomed Opt Express. 2023 Aug 16;14(9):4725-4738. doi: 10.1364/BOE.490164. eCollection 2023 Sep 1.

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验