Imaging Scattering Characteristics of Tissue in Transmitted Microscopy

Mihoko Shimano, Yuta Asano, Shin Ishihara, Ryoma Bise, Imari Sato

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Scattering property plays a very important role in optical imaging and diagnostic applications, such as analysis of cancerous process and diagnosis of dysplasia or cancer. The existing methods focused on removing scattering components in order to visualize the spatial distribution of the reflection and absorption properties. We propose a novel method for estimating the spatial distribution of scattering property by measuring a set of intensities of the direct scattered light with each angle for each point. Our key contribution is to decompose the captured light into the direct scattered light with each angle by using varying spatial frequency of illumination patterns that can control the range of the scattered angle. By applying the method to observe a spatially inhomogeneous translucent object, we can extract the map of the angular distribution of scattering. To the best of our knowledge, this is the first method to enable visualizing a spatial map of scattering property using a conventional transmitted microscope setup. Experimental results on synthetic data and real complex materials demonstrate the effectiveness of our method for the estimation of scattering distribution.

本文言語英語
ホスト出版物のタイトルMedical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings
編集者Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
出版社Springer Science and Business Media Deutschland GmbH
ページ236-245
ページ数10
ISBN(印刷版)9783030597214
DOI
出版ステータス出版済み - 2020
イベント23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 - Lima, ペルー
継続期間: 10 4 202010 8 2020

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12265 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

会議

会議23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020
Countryペルー
CityLima
Period10/4/2010/8/20

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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