Multichannel Nearinfrared Bandpass Mosaic Filter For Spectral Fundus
Imaging
- doi: 10.1109/IMFEDK56875.2022.9975371
-
title: Multi-Channel Near-Infrared Bandpass Mosaic
Filter for Spectral Fundus Imaging
- publisher: IEEE
- isbn: 978-1-6654-7454-2
- issn:
- rank: 3060
- access_type: LOCKED
- content_type: Conferences
-
abstract: We previously reported a near-infrared (NIR)
color fundus camera that can image the fundus without the use of
mydriatic agents. Using this technology, pseudo-color images can be
reconstructed from images in the three NIR wavelength bands. In this
study, we designed and manufactured a five-wavelength bandpass mosaic
filter for CMOS image sensors (CIS) by modifying the thickness of the
middle layer of a multilayer thin-film structure based on the
interference bandpass filter principle. It is possible to acquire
information about all bands at all locations on the fundus by using the
fixational movement of the human eye. Adapting a fabricated 5-channel
CIS, we report the validity of high-spatial-resolution imaging by
demosaicing and spectral resolution enhancement by deconvolution
processing.
- article_number: 9975371
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9975371
-
html_url:
https://ieeexplore.ieee.org/document/9975371/
-
abstract_url:
https://ieeexplore.ieee.org/document/9975371/
-
publication_title: 2022 IEEE International Meeting for
Future of Electron Devices, Kansai (IMFEDK)
- conference_location: Kyoto, Japan
- conference_dates: 28-30 Nov. 2022
- publication_number: 9975349
- is_number: 9975304
- publication_year: 2022
- publication_date: 28-30 Nov. 2022
- start_page: 1
- end_page: 2
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 83
- insert_date: 20221214
-
index_terms:
-
ieee_terms:
- Band-pass filters
- Image resolution
- Image recognition
- Image color analysis
- Interference
- Information filters
- Cameras
-
author_terms:
- fundus camera
- CMOS image sensor
- multi-channel bandpass filter
- near-infrared spectral imaging
- spectral reconstruction
-
dynamic_index_terms:
- Mosaic Filter
- Spectral Resolution
- Image Sensor
- Camera Sensor
- Fundus Photography
- Fundus Camera
- Retinal Photographs
- Pseudocolor Images
- Deconvolution Process
- Spatial Resolution
- Imaging System
- Reflectance Spectra
- Reconstruction Algorithm
- Spectral Imaging
- Spectral Tomography
- Camera System
- Specific Wavelength
- Specific Wavelengths
- Intensity Of Channel
- Spectral Reconstruction
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-6654-7454-2,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-6654-7453-5,
isbnType: New-2005
-
authors:
-
Author Name: Honghao Tang
Affiliation: Division of Material Science, Nara
Institute of Science and Technology Ikoma, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37089635402
ID: 37089635402
Order: 1
Author Affiliations:
-
Division of Material Science, Nara Institute of Science and
Technology Ikoma, Nara, Japan
-
Author Name: Hironari Takehara
Affiliation: Division of Material Science, Nara
Institute of Science and Technology Ikoma, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37074521600
ID: 37074521600
Order: 2
Author Affiliations:
-
Division of Material Science, Nara Institute of Science and
Technology Ikoma, Nara, Japan
-
Author Name: Yusuke Horiki
Affiliation: Division of Material Science, Nara
Institute of Science and Technology Ikoma, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37089636837
ID: 37089636837
Order: 3
Author Affiliations:
-
Division of Material Science, Nara Institute of Science and
Technology Ikoma, Nara, Japan
-
Author Name: Makito Haruta
Affiliation: Division of Material Science, Nara
Institute of Science and Technology Ikoma, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/38246962800
ID: 38246962800
Order: 4
Author Affiliations:
-
Division of Material Science, Nara Institute of Science and
Technology Ikoma, Nara, Japan
-
Author Name: Kiyotaka Sasagawa
Affiliation: Division of Material Science, Nara
Institute of Science and Technology Ikoma, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37287324600
ID: 37287324600
Order: 5
Author Affiliations:
-
Division of Material Science, Nara Institute of Science and
Technology Ikoma, Nara, Japan
-
Author Name: Jun Ohta
Affiliation: Division of Material Science, Nara
Institute of Science and Technology Ikoma, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37278016600
ID: 37278016600
Order: 6
Author Affiliations:
-
Division of Material Science, Nara Institute of Science and
Technology Ikoma, Nara, Japan
-
Author Name: Hiroyuki Tashiro
Affiliation: Division of Health Sciences Faculty of
Medical Science, Kyushu University Higashi-Ku, Fukuoka, Japan
Author URL:
https://ieeexplore.ieee.org/author/38231051200
ID: 38231051200
Order: 7
Author Affiliations:
-
Division of Health Sciences Faculty of Medical Science, Kyushu
University Higashi-Ku, Fukuoka, Japan
Image Sensor
- sensor_type: CMOS
- resolution: Not specified
- dynamic_range: Not specified
- pixel_size: Not specified
- dark_current: Not specified
Optical Data
- focal_length: Not specified
- aperture: Not specified
- field_of_view: Not specified
- distortion: Not specified
Performance Metrics
Applications & Benefits
-
cell_imaging: Fundus imaging for ophthalmic,
cardiovascular, and nervous disease diagnosis.
-
benefits: Non-my-driatic imaging, high spatial and
spectral resolution possible.
Supporting Organizations
-
supported_by: Japan Science and Technology Agency,
ACCEL; VLSI Design and Education Center (VDEC); University of Tokyo,
Cadence Corporation, Mentor Graphics Corporation.
Manuscript Details
- publication_date: 28-30 Nov. 2022
Relevancy Score
- score: 7
-
missing_fields:
- resolution
- dynamic_range
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
Processed JSON Filename
request_1917209b-c7a3-4a2d-91f8-3e104eea9c7e-multichannel_nearinfrared_bandpass_mosaic_filter_for_spectral_fundus_imaging.json