Nearinfrared Imaging Approach For In Vivo Detecting The Distribution Of Human Blood Vessels

• doi: 10.1109/iCBEB.2012.281
• title: Near-Infrared Imaging Approach for in vivo Detecting the Distribution of Human Blood Vessels
• publisher: IEEE
• isbn: 978-1-4577-1987-5
• issn:
• partnum: 12PR4706
• rank: 3090
• access_type: LOCKED
• content_type: Conferences
• abstract: The near-infrared diffuse reflectance imaging method is presented to detect the distribution of blood vessels at body surfaces in the paper. In the experimental system, the near-infrared LED was used as the light source, the low-noise CMOS camera sensor combining with a filter was used as the detector, the computer was used as the data-processing terminal. After the system had been set up, two groups of photos for the hand and the arm were taken respectively. One group was taken under the nature light, the other group was taken under the near-infrared LEDs. The distribution of the blood vessels cannot be got in the first group of photos, while they can be got in the second group of photos. The results show that the near-infrared imaging method could be used to detect blood vessels noninvasively and conveniently.
• article_number: 6245252
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6245252
• html_url: https://ieeexplore.ieee.org/document/6245252/
• abstract_url: https://ieeexplore.ieee.org/document/6245252/
• publication_title: 2012 International Conference on Biomedical Engineering and Biotechnology
• conference_location: Macau, Macao
• conference_dates: 28-30 May 2012
• publication_number: 6242774
• is_number: 6245029
• publication_year: 2012
• publication_date: 28-30 May 2012
• start_page: 841
• end_page: 844
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 350
• insert_date: 20120723
• index_terms:
  • ieee_terms:
    • Biomedical imaging
    • Blood vessels
    • Light emitting diodes
    • Spectroscopy
    • Light sources
    • Gray-scale
    • Humans
  • author_terms:
    • near-infrared imaging
    • blood vessels distribution
    • near-infrared LED array
  • dynamic_index_terms:
    • Blood Vessels
    • Near-infrared Imaging
    • Distribution Of Blood Vessels
    • Light Source
    • Daylight
    • Natural Light
    • Body Surface
    • Near-infrared Reflectance
    • Near-infrared Spectroscopy
    • Near-infrared Spectra
    • Edge Detection
    • Threshold Parameter
    • Near-infrared Region
    • Reflectance Spectroscopy
    • Diffuse Reflectance Spectroscopy
    • Data Processing Methods
    • Grayscale Value
    • Greyscale Values
    • LED Array
    • Radius Parameter
• isbn_formats:
  • format: Print ISBN, value: 978-1-4577-1987-5, isbnType: New-2005
  • format: Electronic ISBN, value: 978-0-7695-4706-0, isbnType: New-2005
• authors:
  • Author Name: Jin Yao
    Affiliation:
    Author URL: https://ieeexplore.ieee.org/author/37088162462
    ID: 37088162462
    Order: 1
    
  • Author Name: Jing Zhao
    Affiliation:
    Author URL: https://ieeexplore.ieee.org/author/37088162487
    ID: 37088162487
    Order: 2
    
  • Author Name: Cui-ying Hu
    Affiliation:
    Author URL: https://ieeexplore.ieee.org/author/37088161998
    ID: 37088161998
    Order: 3
    

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

• shutter_speed: 130 ms
• power_consumption: 0.03 W per LED

Applications & Benefits

• cell_imaging: Noninvasive detection of blood vessels in medical applications.
• benefits: Convenient for detecting the distribution of human blood vessels.

Supporting Organizations

• supported_by: National Natural Science Foundation of China, Guangzhou Agricultural science and technology research projects, President Foundation of South China Agricultural University.

Manuscript Details

• publication_date: 28-30 May 2012

Relevancy Score

• score: 8
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • noise

Processed JSON Filename

request_3acaea24-fe21-4752-b3e0-9097947ce76a-nearinfrared_imaging_approach_for_in_vivo_detecting_the_distribution_of_human_blood_vessels.json