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FlexTileSource:一种用于高效全切片图像可视化的OpenSeadragon扩展

FlexTileSource: An OpenSeadragon Extension for Efficient Whole-Slide Image Visualization.

作者信息

Schüffler Peter J, Ozcan Gamze Gokturk, Al-Ahmadie Hikmat, Fuchs Thomas J

机构信息

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.

TUM School of Medicine, Technical University of Munich, Munich, Germany.

出版信息

J Pathol Inform. 2021 Sep 14;12:31. doi: 10.4103/jpi.jpi_13_21. eCollection 2021.

DOI:10.4103/jpi.jpi_13_21
PMID:34760328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8529343/
Abstract

BACKGROUND

Web-based digital slide viewers for pathology commonly use OpenSlide and OpenSeadragon (OSD) to access, visualize, and navigate whole-slide images (WSI). Their standard settings represent WSI as deep zoom images (DZI), a generic image pyramid structure that differs from the proprietary pyramid structure in the WSI files. The transformation from WSI to DZI is an additional, time-consuming step when rendering digital slides in the viewer, and inefficiency of digital slide viewers is a major criticism for digital pathology.

AIMS

To increase efficiency of digital slide visualization by serving tiles directly from the native WSI pyramid, making the transformation from WSI to DZI obsolete.

METHODS

We implemented a new flexible tile source for OSD that accepts arbitrary native pyramid structures instead of DZI levels. We measured its performance on a data set of 8104 WSI reviewed by 207 pathologists over 40 days in a web-based digital slide viewer used for routine diagnostics.

RESULTS

The new accelerates the display of a field of view in general by 67 ms and even by 117 ms if the block size of the WSI and the tile size of the viewer is increased to 1024 px. We provide the code of our open-source library freely on https://github.com/schuefflerlab/openseadragon.

CONCLUSIONS

This is the first study to quantify visualization performance on a web-based slide viewer at scale, taking block size and tile size of digital slides into account. Quantifying performance will enable to compare and improve web-based viewers and therewith facilitate the adoption of digital pathology.

摘要

背景

用于病理学的基于网络的数字切片查看器通常使用OpenSlide和OpenSeadragon(OSD)来访问、可视化和浏览全切片图像(WSI)。它们的标准设置将WSI表示为深度缩放图像(DZI),这是一种通用的图像金字塔结构,与WSI文件中的专有金字塔结构不同。从WSI转换为DZI是在查看器中渲染数字切片时额外的耗时步骤,而数字切片查看器的低效率是数字病理学的主要批评点。

目的

通过直接从原生WSI金字塔提供切片来提高数字切片可视化的效率,使从WSI到DZI的转换过时。

方法

我们为OSD实现了一种新的灵活切片源,它接受任意原生金字塔结构而不是DZI级别。我们在一个基于网络的数字切片查看器中,对207位病理学家在40天内审查的8104个WSI数据集上测量了其性能,该查看器用于常规诊断。

结果

新方法一般将视野显示速度加快67毫秒,如果将WSI的块大小和查看器的切片大小增加到1024像素,则甚至加快117毫秒。我们在https://github.com/schuefflerlab/openseadragon上免费提供我们开源库的代码。

结论

这是第一项在考虑数字切片的块大小和切片大小的情况下,大规模量化基于网络的切片查看器可视化性能的研究。量化性能将能够比较和改进基于网络的查看器,从而促进数字病理学的采用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/2164733d9116/JPI-12-31-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/58221ebc5353/JPI-12-31-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/c6f501b7150e/JPI-12-31-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/6e0fdc9c3846/JPI-12-31-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/7e070e61dfb3/JPI-12-31-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/2164733d9116/JPI-12-31-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/58221ebc5353/JPI-12-31-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/c6f501b7150e/JPI-12-31-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/6e0fdc9c3846/JPI-12-31-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/7e070e61dfb3/JPI-12-31-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5042/8529343/2164733d9116/JPI-12-31-g005.jpg

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