Literature DB >> 11316718

Mosaicking and enhancement of slit lamp biomicroscopic fundus images.

J Asmuth1, B Madjarov, P Sajda, J W Berger.   

Abstract

AIMS: To process video slit lamp biomicroscopic fundus image sequences in order to generate wide field, high quality fundus image montages which might be suitable for photodocumentation.
METHODS: Slit lamp biomicroscopic fundus examination was performed on human volunteers with a contact or non-contact lens. A stock, charge coupled device camera permitted image capture and storage of the image sequence at 30 frames per second. Acquisition time was approximately 30 seconds. Individual slit lamp biomicroscope fundus image frames were aligned and blended with custom developed software.
RESULTS: The developed algorithms allowed for highly accurate alignment and blending of partially overlapping slit lamp biomicroscopic fundus images to generate a seamless, high quality, wide field montage.
CONCLUSIONS: Video image acquisition and processing algorithms allow for mosaicking and enhancement of slit lamp biomicroscopic fundus images. The improved quality and wide field of view may confer suitability for inexpensive, real time photodocumentation of disc and macular abnormalities.

Entities:  

Mesh:

Year:  2001        PMID: 11316718      PMCID: PMC1723974          DOI: 10.1136/bjo.85.5.563

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  6 in total

1.  Computer-vision-enabled augmented reality fundus biomicroscopy.

Authors:  J W Berger; D S Shin
Journal:  Ophthalmology       Date:  1999-10       Impact factor: 12.079

2.  Automated, real time extraction of fundus images from slit lamp fundus biomicroscope video image sequences.

Authors:  B D Madjarov; J W Berger
Journal:  Br J Ophthalmol       Date:  2000-06       Impact factor: 4.638

3.  Grading, image analysis, and stereopsis of digitally compressed fundus images.

Authors:  M S Lee; D S Shin; J W Berger
Journal:  Retina       Date:  2000       Impact factor: 4.256

4.  Automated scanning laser ophthalmoscope image montages of retinal diseases.

Authors:  M E Rivero; D U Bartsch; T Otto; W R Freeman
Journal:  Ophthalmology       Date:  1999-12       Impact factor: 12.079

5.  Computer-assisted, interactive fundus image processing for macular drusen quantitation.

Authors:  D S Shin; N B Javornik; J W Berger
Journal:  Ophthalmology       Date:  1999-06       Impact factor: 12.079

6.  Computerized stereochronoscopy and alternation flicker to detect optic nerve head contour change.

Authors:  J W Berger; T R Patel; D S Shin; J R Piltz; R A Stone
Journal:  Ophthalmology       Date:  2000-07       Impact factor: 12.079

  6 in total
  5 in total

1.  A simple method for panretinal imaging with the slit lamp.

Authors:  Marcus-Matthias Gellrich
Journal:  Int Ophthalmol       Date:  2016-02-15       Impact factor: 2.031

2.  SLIM (slit lamp image mosaicing): handling reflection artifacts.

Authors:  Kristina Prokopetc; Adrien Bartoli
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-03-13       Impact factor: 2.924

3.  A comparative study of transformation models for the sequential mosaicing of long retinal sequences of slit-lamp images obtained in a closed-loop motion.

Authors:  Kristina Prokopetc; Adrien Bartoli
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-06-20       Impact factor: 2.924

Review 4.  A Review on the Extraction of Quantitative Retinal Microvascular Image Feature.

Authors:  Kuryati Kipli; Mohammed Enamul Hoque; Lik Thai Lim; Muhammad Hamdi Mahmood; Siti Kudnie Sahari; Rohana Sapawi; Nordiana Rajaee; Annie Joseph
Journal:  Comput Math Methods Med       Date:  2018-07-02       Impact factor: 2.238

5.  Retinal slit lamp video mosaicking.

Authors:  Sandro De Zanet; Tobias Rudolph; Rogerio Richa; Christoph Tappeiner; Raphael Sznitman
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-03-19       Impact factor: 2.924

  5 in total

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