Dynamic registration for gigapixel serial whole slide images

Blair J. Rossetti; Fusheng Wang; Pengyue Zhang; George Teodoro; Daniel J. Brat; Jun Kong

doi:10.1109/ISBI.2017.7950552

Dynamic registration for gigapixel serial whole slide images

Blair J. Rossetti, Fusheng Wang, Pengyue Zhang, George Teodoro, Daniel J. Brat, Jun Kong

Pathology

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

20 Scopus citations

Abstract

High-throughput serial histology imaging provides a new avenue for the routine study of micro-anatomical structures in a 3D space. However, the emergence of serial whole slide imaging poses a new registration challenge, as the gigapixel image size precludes the direct application of conventional registration techniques. In this paper, we develop a three-stage registration with multi-resolution mapping and propagation method to dynamically produce registered subvolumes from serial whole slide images. We validate our algorithm with gigapixel images of serial brain tumor sections and synthetic image volumes. The qualitative and quantitative assessment results demonstrate the efficacy of our approach and suggest its promise for 3D histology reconstruction analysis.

Original language	English (US)
Title of host publication	2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
Publisher	IEEE Computer Society Press
Pages	424-428
Number of pages	5
ISBN (Electronic)	9781509011711
DOIs	https://doi.org/10.1109/ISBI.2017.7950552
State	Published - Jun 15 2017
Event	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia Duration: Apr 18 2017 → Apr 21 2017

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
Country/Territory	Australia
City	Melbourne
Period	4/18/17 → 4/21/17

Funding

Keywords

Histopathology image registration

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI.2017.7950552

Cite this

Rossetti, B. J., Wang, F., Zhang, P., Teodoro, G., Brat, D. J., & Kong, J. (2017). Dynamic registration for gigapixel serial whole slide images. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (pp. 424-428). Article 7950552 (Proceedings - International Symposium on Biomedical Imaging). IEEE Computer Society Press. https://doi.org/10.1109/ISBI.2017.7950552

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title = "Dynamic registration for gigapixel serial whole slide images",

abstract = "High-throughput serial histology imaging provides a new avenue for the routine study of micro-anatomical structures in a 3D space. However, the emergence of serial whole slide imaging poses a new registration challenge, as the gigapixel image size precludes the direct application of conventional registration techniques. In this paper, we develop a three-stage registration with multi-resolution mapping and propagation method to dynamically produce registered subvolumes from serial whole slide images. We validate our algorithm with gigapixel images of serial brain tumor sections and synthetic image volumes. The qualitative and quantitative assessment results demonstrate the efficacy of our approach and suggest its promise for 3D histology reconstruction analysis.",

keywords = "Histopathology image registration",

author = "Rossetti, {Blair J.} and Fusheng Wang and Pengyue Zhang and George Teodoro and Brat, {Daniel J.} and Jun Kong",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 ; Conference date: 18-04-2017 Through 21-04-2017",

year = "2017",

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doi = "10.1109/ISBI.2017.7950552",

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Rossetti, BJ, Wang, F, Zhang, P, Teodoro, G, Brat, DJ & Kong, J 2017, Dynamic registration for gigapixel serial whole slide images. in 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017., 7950552, Proceedings - International Symposium on Biomedical Imaging, IEEE Computer Society Press, pp. 424-428, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, 4/18/17. https://doi.org/10.1109/ISBI.2017.7950552

Dynamic registration for gigapixel serial whole slide images. / Rossetti, Blair J.; Wang, Fusheng; Zhang, Pengyue et al.
2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society Press, 2017. p. 424-428 7950552 (Proceedings - International Symposium on Biomedical Imaging).

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

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AB - High-throughput serial histology imaging provides a new avenue for the routine study of micro-anatomical structures in a 3D space. However, the emergence of serial whole slide imaging poses a new registration challenge, as the gigapixel image size precludes the direct application of conventional registration techniques. In this paper, we develop a three-stage registration with multi-resolution mapping and propagation method to dynamically produce registered subvolumes from serial whole slide images. We validate our algorithm with gigapixel images of serial brain tumor sections and synthetic image volumes. The qualitative and quantitative assessment results demonstrate the efficacy of our approach and suggest its promise for 3D histology reconstruction analysis.

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Dynamic registration for gigapixel serial whole slide images

Abstract

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Keywords

ASJC Scopus subject areas

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