Literature DB >> 11055787

An imaging system with calibrated color image acquisition for use in dermatology.

Y Vander Haeghen1, J M Naeyaert, I Lemahieu, W Philips.   

Abstract

We propose a novel imaging system useful in dermatology, more precisely, for the follow-up of patients with an increased risk of skin cancer. The system consists of a Pentium PC equipped with an RGB frame grabber, a three-chip charge coupled devices (CCD) camera controlled by the serial port and equipped with a zoom lens and a halogen annular light source. Calibration of the imaging system provides a way to transform the acquired images, which are defined in an unknown color space, to a standard, well-defined color space called sRGB. sRGB has a known relation to the CIE1 XYZ and CIE L*a*b* colorimetric spaces. These CIE color spaces are based on the human vision, and they allow the computation of a color difference metric called CIE deltaE*ab, which is proportional to the color difference, as seen by a human observer. Several types of polynomial RGB to sRGB transforms will be tried, including some optimized in perceptually uniform color spaces. The use of a standard and well-defined color space also allows meaningful exchange of images, e.g., in teledermatology. The calibration procedure is based on 24 patches with known color properties, and it takes about 5 minutes to perform. It results in a number of settings called a profile that remains valid for tens of hours of operation. Such a profile is checked before acquiring images using just one color patch, and is adjusted on the fly to compensate for short-term drift in the response of the imaging system. Precision or reproducibility of subsequent color measurements is very good with (deltaE*ab) = 0.3 and deltaE*ab < 1.2. Accuracy compared with spectrophotometric measurements is fair with (deltaE*ab) = 6.2 and deltaE*ab < 13.3.

Entities:  

Mesh:

Year:  2000        PMID: 11055787     DOI: 10.1109/42.875195

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  8 in total

Review 1.  Design and implementation of a calibrated store and forward imaging system for teledermatology.

Authors:  Ilias Maglogiannis
Journal:  J Med Syst       Date:  2004-10       Impact factor: 4.460

2.  Evaluating visual perception for assessing reconstructed flap health.

Authors:  Adrien Ponticorvo; Eren Taydas; Amaan Mazhar; Christopher L Ellstrom; Jonathan Rimler; Thomas Scholz; June Tong; Gregory R D Evans; David J Cuccia; Anthony J Durkin
Journal:  J Surg Res       Date:  2015-04-04       Impact factor: 2.192

3.  Automatic colorimetric calibration of human wounds.

Authors:  Sven Van Poucke; Yves Vander Haeghen; Kris Vissers; Theo Meert; Philippe Jorens
Journal:  BMC Med Imaging       Date:  2010-03-18       Impact factor: 1.930

4.  Color standardization in whole slide imaging using a color calibration slide.

Authors:  Pinky A Bautista; Noriaki Hashimoto; Yukako Yagi
Journal:  J Pathol Inform       Date:  2014-01-31

Review 5.  Incorporating Colour Information for Computer-Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis.

Authors:  Ali Madooei; Mark S Drew
Journal:  Int J Biomed Imaging       Date:  2016-12-19

6.  Actinic keratosis modelling in mice: A translational study.

Authors:  Arnaud Pillon; Bruno Gomes; Isabelle Vandenberghe; Valérie Cartron; Patrick Cèbe; Jean-Christophe Blanchet; Vincent Sibaud; Nicolas Guilbaud; Laurent Audoly; Laurence Lamant; Anna Kruczynski
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

7.  Efficacy of D-pigment dermocosmetic lightening product for solar lentigo lesions of the hand: A randomized controlled trial.

Authors:  Federica Arginelli; Maurizio Greco; Silvana Ciardo; Gwendal Josse; Ana Beatris Rossi; Jimmy Le Digabel; Emmanuel Questel; Johanna Chester; Giovanni Pellacani
Journal:  PLoS One       Date:  2019-05-01       Impact factor: 3.240

8.  A standardised protocol for texture feature analysis of endoscopic images in gynaecological cancer.

Authors:  Marios S Neofytou; Vasilis Tanos; Marios S Pattichis; Constantinos S Pattichis; Efthyvoulos C Kyriacou; Dimitris D Koutsouris
Journal:  Biomed Eng Online       Date:  2007-11-29       Impact factor: 2.819

  8 in total

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