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

doi:10.1109/ICCABS.2015.7344718

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 proceeding › Conference 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 language	English (US)
Title of host publication	2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467396639
DOIs	https://doi.org/10.1109/ICCABS.2015.7344718
State	Published - Dec 2 2015
Event	5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015 - Miami, United States Duration: Oct 15 2015 → Oct 17 2015

Publication series

Name	2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015

Other

Other	5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015
Country/Territory	United States
City	Miami
Period	10/15/15 → 10/17/15

Keywords

image
osteosarcoma
stitching
whole slide

ASJC Scopus subject areas

Biotechnology
Computer Science Applications
Computational Mathematics
Medicine (miscellaneous)

Access to Document

10.1109/ICCABS.2015.7344718

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 Article 7344718 (2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCABS.2015.7344718

Whole slide images stitching for osteosarcoma detection. / Armaselu, Bogdan; Arunachalam, Harish Babu; Daescu, Ovidiu et al.
2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7344718 (2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Armaselu, B, Arunachalam, HB, Daescu, O, Bach, JP, Cederberg, KB , Rakheja, D , Sengupta, AL , Skapek, SX & Leavey, PJ 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, 2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015, Institute of Electrical and Electronics Engineers Inc., 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015, Miami, United States, 10/15/15. https://doi.org/10.1109/ICCABS.2015.7344718

Armaselu B, Arunachalam HB, Daescu O, Bach JP, Cederberg KB , Rakheja D et al. Whole slide images stitching for osteosarcoma detection. In 2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7344718. (2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015). doi: 10.1109/ICCABS.2015.7344718

Armaselu, Bogdan ; Arunachalam, Harish Babu ; Daescu, Ovidiu et al. / Whole slide images stitching for osteosarcoma detection. 2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015).

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AU - Daescu, Ovidiu

AU - Bach, John Paul

AU - Cederberg, Kevin B

AU - Rakheja, Dinesh

AU - Sengupta, Anita L

AU - Skapek, Stephen X

AU - Leavey, Patrick J

PY - 2015/12/2

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N2 - 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.

AB - 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.

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Whole slide images stitching for osteosarcoma detection

Abstract

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Keywords

ASJC Scopus subject areas

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