A Spectro Reflectance Camera For In Vivo Human Blood Evaluation

• doi: 10.1109/NEWCAS.2012.6329074
• title: A spectro reflectance camera for in vivo human blood evaluation
• publisher: IEEE
• isbn: 978-1-4673-0858-8
• issn:
• partnum: 12EX6116
• rank: 1305
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, we present a new non invasive diagnosing device, the spectroscopy reflectance camera. This device combines the spectro-reflectrometry with a CMOS image sensor to evaluate the oxygen saturation in living organs. This combination is realized by merging an image sensor to an optical fibre linked to a spectrograph. While the image sensor helps targeting precisely the blood vessel to be evaluated, the spectrograph gathers the reflected light spectrum from the vessel. The optical fibre is 50 microns diameter and has one end inserted in the back side of the image sensor. This end reaches the first silicon oxide layer on the component side, which is transparent. The other end is connected to the spectrograph; it transmits the intensity of the reflected light. In order to insert the optical fibre in the image sensor, we propose a process to achieve a highly directional etching technique with high aspect ratio. Also, we present a new image sensor structure allowing the presence of a hole in the center of the pixel array. The presence of the hole adds some design constraints leading to divide a conventional pixel array into four independent sub-arrays, where every pixel is addressed and read out separately.
• article_number: 6329074
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6329074
• html_url: https://ieeexplore.ieee.org/document/6329074/
• abstract_url: https://ieeexplore.ieee.org/document/6329074/
• publication_title: 10th IEEE International NEWCAS Conference
• conference_location: Montreal, QC, Canada
• conference_dates: 17-20 June 2012
• publication_number: 6324002
• is_number: 6328940
• publication_year: 2012
• publication_date: 17-20 June 2012
• start_page: 533
• end_page: 536
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 93
• insert_date: 20121011
• index_terms:
  • ieee_terms:
    • Image sensors
    • Arrays
    • Etching
    • Blood
    • Topology
    • Retina
  • author_terms:
    • Pixel array
    • microfabrication
    • reflectance spectroscopy
  • dynamic_index_terms:
    • Non-invasive
    • Silicon
    • Blood Vessels
    • Oxygen Saturation
    • SaO2
    • Oxygen Levels
    • Dissolved Oxygen
    • Optical Fiber
    • Fiber-optic
    • Image Sensor
    • Camera Sensor
    • Back Side
    • Pixel Array
    • Presence Of Holes
    • Retinal
    • Chromium
    • Photodiode
    • Output Signal
    • Central Zone
    • Invasive Techniques
    • Photoresist
    • Focused Ion Beam
    • Post Processing
    • CMOS Process
    • Measurement Of Oxygen Saturation
    • Blood Saturation
    • Metal Lines
    • Rolling Shutter
    • Frame Grabber
• isbn_formats:
  • format: Online ISBN, value: 978-1-4673-0858-8, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4673-0857-1, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-0859-5, isbnType: New-2005
• authors:
  • Author Name: Seddik Benhammadi
    Affiliation: Department of Electrical Engineering, École Polytechnique of Montreal, Canada
    Author URL: https://ieeexplore.ieee.org/author/37064140600
    ID: 37064140600
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, École Polytechnique of Montreal, Canada
  • Author Name: Yves Audet
    Affiliation: Department of Electrical Engineering, École Polytechnique of Montreal, Canada
    Author URL: https://ieeexplore.ieee.org/author/37273900300
    ID: 37273900300
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, École Polytechnique of Montreal, Canada
  • Author Name: Vasile Diaconu
    Affiliation: School of Optometry, Biomedical Engineering, University of Montréal, Montreal, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/38488917200
    ID: 38488917200
    Order: 3
    Author Affiliations:
    • School of Optometry, Biomedical Engineering, University of Montréal, Montreal, QUE, Canada

Image Sensor

• sensor_type: CMOS
• resolution: 102x136 pixels
• dynamic_range: 46.43 dB (top half), 46.47 dB (bottom half)
• pixel_size: 14.2 x 14.2 μm
• dark_current: Not explicitly mentioned, but average random noise is 7.15 mV (top half), 7.12 mV (bottom half)

Optical Data

• focal_length: Not mentioned
• aperture: Not mentioned
• field_of_view: Not mentioned
• distortion: Not mentioned

Performance Metrics

• frame_rate: Not mentioned
• signal_to_noise_ratio: Not explicitly measured, but random noise and fixed pattern noise present as metrics
• sensitivity: 40.95 V cm²/J (top half), 39.67 V cm²/J (bottom half)
• shutter_speed: Rolling shutter
• power_consumption: Not mentioned
• noise: Random noise: 7.15 mV (top half), 7.12 mV (bottom half); Fixed pattern noise: 14.78 mV (top half), 15.66 mV (bottom half)

Applications & Benefits

• cell_imaging: Used for measuring oxygen saturation in blood, particularly in retinal vessels, which helps in diagnosing and following pathological alterations in living cells.
• benefits: Non-invasive measurement of blood oxygen saturation, innovative structure allows precise targeting of blood vessels.

Supporting Organizations

• supported_by: École Polytechnique of Montreal, University of Montréal

Manuscript Details

• publication_date: 17-20 June 2012

Relevancy Score

• score: 10

Processed JSON Filename

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