DYNAMIC REGISTRATION FOR GIGAPIXEL SERIAL WHOLE SLIDE IMAGES
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2017 |
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| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:2017 |
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| Enthalten in: |
Proceedings. IEEE International Symposium on Biomedical Imaging - 2017(2017) vom: 01. Apr., Seite 424-428 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Rossetti, Blair J [VerfasserIn] |
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| Anmerkungen: |
Date Revised 30.09.2020 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1109/ISBI.2017.7950552 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM274779544 |
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| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Histopathology image registration | |
| 700 | 1 | |a Wang, Fusheng |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Pengyue |e verfasserin |4 aut | |
| 700 | 1 | |a Teodoro, George |e verfasserin |4 aut | |
| 700 | 1 | |a Brat, Daniel J |e verfasserin |4 aut | |
| 700 | 1 | |a Kong, Jun |e verfasserin |4 aut | |
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