Towards automated classification of clinical optical coherence tomography data of dense tissues
Towards automated classification of clinical optical coherence tomography data of dense tissues
复制标题
致密组织临床光学相干断层扫描数据的自动分类
DOI：
10.1007/s10103-008-0615-6
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发表时间：
2009
影响因子：
2.1
通讯作者：
N. Stone
中科院分区：
文献类型：
--
作者：
F. Bazant;N. Stone
The native contrast of optical coherence tomography (OCT) data in dense tissues can pose a challenge for clinical decision making. Automated data evaluation is one way of enhancing the clinical utility of measurements. Methods for extracting information from structural OCT data are appraised here. A-scan analysis allows characterization of layer thickness and scattering parameters, whereas image analysis renders itself to segmentation, texture and speckle analysis. All fully automated approaches combine pre-processing, feature registration, data reduction, and classification. Pre-processing requires de-noising, feature recognition, normalization and refining. In the current literature, image exclusion criteria, initial parameters, or manual input are common requirements. The interest of the presented methods lies in the prospect of objective, quick, and/or post-acquisition processing. There is a potential to improve clinical decision making based on automated processing of OCT data.
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影响因子：
3.6
作者：
Patil, Chetan A.;Bosschaart, Nienke;Mahadevan-Jansen, Anita
通讯作者：
Mahadevan-Jansen, Anita
DOI：
10.1364/josaa.20.000357
发表时间：
2003-02
期刊：
Journal of the Optical Society of America. A, Optics, image science, and vision
影响因子：
--
作者：
J. Rogowska;C. M. Bryant;M. Brezinski
通讯作者：
J. Rogowska;C. M. Bryant;M. Brezinski
影响因子：
3.5
作者：
Gossage, KW;Tkaczyk, TS;Barton, JK
通讯作者：
Barton, JK
影响因子：
3.5
作者：
Qi, Xin;Sivak, Michael V., Jr.;Rollins, Andrew M.
通讯作者：
Rollins, Andrew M.
影响因子：
1.9
作者：
Kholodnykh, AI;Petrova, IY;Esenaliev, RO
通讯作者：
Esenaliev, RO