TY - GEN
T1 - Imaging Scattering Characteristics of Tissue in Transmitted Microscopy
AU - Shimano, Mihoko
AU - Asano, Yuta
AU - Ishihara, Shin
AU - Bise, Ryoma
AU - Sato, Imari
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP19J40303 to M.S.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
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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U2 - 10.1007/978-3-030-59722-1_23
DO - 10.1007/978-3-030-59722-1_23
M3 - Conference contribution
AN - SCOPUS:85092688600
SN - 9783030597214
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 236
EP - 245
BT - Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings
A2 - Martel, Anne L.
A2 - Abolmaesumi, Purang
A2 - Stoyanov, Danail
A2 - Mateus, Diana
A2 - Zuluaga, Maria A.
A2 - Zhou, S. Kevin
A2 - Racoceanu, Daniel
A2 - Joskowicz, Leo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020
Y2 - 4 October 2020 through 8 October 2020
ER -