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用于子宫颈标本癌前检测的偏振测量工具。

Polarimetric measurement utility for pre-cancer detection from uterine cervix specimens.

作者信息

Kupinski Meredith, Boffety Matthieu, Goudail François, Ossikovski Razvigor, Pierangelo Angelo, Rehbinder Jean, Vizet Jérémy, Novikova Tatiana

机构信息

LPICM, CNRS, École Polytechnique, Université Paris Saclay, 91128, Palaiseau, France.

University of Arizona, College of Optical Sciences, Tucson, USA.

出版信息

Biomed Opt Express. 2018 Oct 25;9(11):5691-5702. doi: 10.1364/BOE.9.005691. eCollection 2018 Nov 1.

Abstract

Prior work demonstrated significant contrast in visible wavelength Mueller matrix images for healthy and pre-cancerous regions of excised cervical tissue. This work demonstrates post-processing compressions of the full Mueller matrix that preserve detection performance. The purpose of this post-processing is to understand polarimetric measurement utility for computing mathematical observers and designing future imaging protocols. The detection performance of the full Mueller matrix, and both linear and non-linear parameters of the Mueller matrix will be compared. The area under the receiver operating characteristic (ROC) curve, otherwise known as the , is the gold standard metric to quantify detection performance in medical applications. An = 1 is perfect detection and = 0.5 is the performance of guessing. Either the scalar retardance or the 3 smallest eigenvalues of the coherency matrix yield an average of 0.94 or 0.93, respectively. When these four non-linear parameters are used simultaneously the average is 0.95. The J-optimal Channelized Quadratic Observer (J-CQO) method for optimizing polarimetric measurements demonstrates equivalent values for the full Muller matrix and 6 J-CQO optimized measurements. The advantage of this optimization is that only 6 measurements, instead of 16 for the full Mueller matrix, are required to achieve this .

摘要

先前的研究表明,切除的宫颈组织的健康区域和癌前区域在可见波长穆勒矩阵图像中存在显著差异。这项工作展示了对完整穆勒矩阵进行后处理压缩,同时保持检测性能。这种后处理的目的是了解偏振测量在计算数学观测器和设计未来成像协议方面的效用。将比较完整穆勒矩阵的检测性能以及穆勒矩阵的线性和非线性参数。接收器操作特性(ROC)曲线下的面积,也就是所谓的 ,是医学应用中量化检测性能的金标准指标。 = 1表示完美检测, = 0.5表示猜测的性能。标量延迟或相干矩阵的3个最小特征值分别产生平均 为0.94或0.93。当同时使用这四个非线性参数时,平均 为0.95。用于优化偏振测量的J - 最优通道化二次观测器(J - CQO)方法表明,完整穆勒矩阵和6次J - CQO优化测量的 值相当。这种优化的优点是,只需6次测量,而不是完整穆勒矩阵所需的16次测量,就能实现这一 。

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本文引用的文献

1
Optical techniques for cervical neoplasia detection.
Beilstein J Nanotechnol. 2017 Sep 6;8:1844-1862. doi: 10.3762/bjnano.8.186. eCollection 2017.
2
Binary classification of Mueller matrix images from an optimization of Poincaré coordinates.
J Opt Soc Am A Opt Image Sci Vis. 2017 Jun 1;34(6):983-990. doi: 10.1364/JOSAA.34.000983.
3
In vivo imaging of uterine cervix with a Mueller polarimetric colposcope.
Sci Rep. 2017 Jun 1;7(1):2471. doi: 10.1038/s41598-017-02645-9.
4
Mueller polarimetric imaging for surgical and diagnostic applications: a review.
J Biophotonics. 2017 Aug;10(8):950-982. doi: 10.1002/jbio.201600152. Epub 2017 May 2.
5
Ex vivo Mueller polarimetric imaging of the uterine cervix: a first statistical evaluation.
J Biomed Opt. 2016 Jul 1;21(7):71113. doi: 10.1117/1.JBO.21.7.071113.
7
Structured decomposition design of partial Mueller matrix polarimeters.
J Opt Soc Am A Opt Image Sci Vis. 2015 Jul 1;32(7):1302-12. doi: 10.1364/JOSAA.32.001302.
8
Method for optimizing channelized quadratic observers for binary classification of large-dimensional image datasets.
J Opt Soc Am A Opt Image Sci Vis. 2015 Apr 1;32(4):549-65. doi: 10.1364/JOSAA.32.000549.
9
Polarimetric imaging of uterine cervix: a case study.
Opt Express. 2013 Jun 17;21(12):14120-30. doi: 10.1364/OE.21.014120.

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