Imaging Scattering Characteristics of Tissue in Transmitted Microscopy

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

doi:10.1007/978-3-030-59722-1_23

Imaging Scattering Characteristics of Tissue in Transmitted Microscopy

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

Practical Data Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings
Editors	Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	236-245
Number of pages	10
ISBN (Print)	9783030597214
DOIs	https://doi.org/10.1007/978-3-030-59722-1_23
Publication status	Published - 2020
Event	23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 - Lima, Peru Duration: Oct 4 2020 → Oct 8 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12265 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020
Country/Territory	Peru
City	Lima
Period	10/4/20 → 10/8/20

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-59722-1_23

Cite this

Shimano, M., Asano, Y., Ishihara, S., Bise, R., & Sato, I. (2020). Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, D. Racoceanu, & L. Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings (pp. 236-245). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12265 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59722-1_23

Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. / Shimano, Mihoko; Asano, Yuta; Ishihara, Shin et al.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. ed. / Anne L. Martel; Purang Abolmaesumi; Danail Stoyanov; Diana Mateus; Maria A. Zuluaga; S. Kevin Zhou; Daniel Racoceanu; Leo Joskowicz. Springer Science and Business Media Deutschland GmbH, 2020. p. 236-245 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12265 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shimano, M, Asano, Y, Ishihara, S, Bise, R & Sato, I 2020, Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. in AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, D Racoceanu & L Joskowicz (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12265 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 236-245, 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, Lima, Peru, 10/4/20. https://doi.org/10.1007/978-3-030-59722-1_23

Shimano M, Asano Y, Ishihara S, Bise R, Sato I. Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L, editors, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 236-245. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-59722-1_23

Shimano, Mihoko ; Asano, Yuta ; Ishihara, Shin et al. / Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. editor / Anne L. Martel ; Purang Abolmaesumi ; Danail Stoyanov ; Diana Mateus ; Maria A. Zuluaga ; S. Kevin Zhou ; Daniel Racoceanu ; Leo Joskowicz. Springer Science and Business Media Deutschland GmbH, 2020. pp. 236-245 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

author = "Mihoko Shimano and Yuta Asano and Shin Ishihara and Ryoma Bise and Imari Sato",

note = "Funding Information: This work was supported by JSPS KAKENHI Grant Number JP19J40303 to M.S. Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 ; Conference date: 04-10-2020 Through 08-10-2020",

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AB - 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.

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Imaging Scattering Characteristics of Tissue in Transmitted Microscopy

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

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