Whole slide images stitching for osteosarcoma detection

Bogdan Armaselu, Harish Babu Arunachalam, Ovidiu Daescu, John Paul Bach, Kevin B Cederberg, Dinesh Rakheja, Anita L Sengupta, Stephen X Skapek, Patrick J Leavey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Whole slide imaging (WSI), the conversion of conventional glass-slide histopathology to a digital image, is at the heart of telepathology, which will allow disease diagnosis and the practice of pathology from a distance. Scanning systems that generate WSIs at 20x and 40x resolution allow practically equal precision to that available by light microscopy critical for pathologists to interpret specimens. WSI image stitching allows the combination of multiple WSIs into a single representative specimen of the tissue in question. This process suffers from problems of high resolution, disorientation, and the presence of white spaces. In this paper we discuss an image stitching technique based on pairwise image correlation and using gross image information. We are given a bone I which is a global image and a subdivision of I into m cells. The m cells' resolution is higher than the gross image. We calculate the pairwise correlation of the individual images which are numbered in certain order and perform seamless image stitching. We use transformation and rotation in case the image is misaligned.

Original languageEnglish (US)
Title of host publication2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781467396639
DOIs
StatePublished - Dec 2 2015
Event5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015 - Miami, United States
Duration: Oct 15 2015Oct 17 2015

Other

Other5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015
CountryUnited States
CityMiami
Period10/15/1510/17/15

Keywords

  • image
  • osteosarcoma
  • stitching
  • whole slide

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Computational Mathematics
  • Medicine (miscellaneous)

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  • Cite this

    Armaselu, B., Arunachalam, H. B., Daescu, O., Bach, J. P., Cederberg, K. B., Rakheja, D., Sengupta, A. L., Skapek, S. X., & Leavey, P. J. (2015). Whole slide images stitching for osteosarcoma detection. In 2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015 [7344718] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCABS.2015.7344718