Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images

Abstract Ultrasound (US) is the most commonly used liver imaging modality worldwide. Due to its low cost, it is increasingly used in the follow-up of cancer patients with metastases localized in the liver. In this contribution, we present the results of an interactive segmentation approach for liver...

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Autores principales:	Jan Egger, Dieter Schmalstieg, Xiaojun Chen, Wolfram G. Zoller, Alexander Hann
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5d0122f34c5e4d99af2e282b8168fec7
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spelling	oai:doaj.org-article:5d0122f34c5e4d99af2e282b8168fec72021-12-02T16:06:43ZInteractive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images10.1038/s41598-017-00940-z2045-2322https://doaj.org/article/5d0122f34c5e4d99af2e282b8168fec72017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00940-zhttps://doaj.org/toc/2045-2322Abstract Ultrasound (US) is the most commonly used liver imaging modality worldwide. Due to its low cost, it is increasingly used in the follow-up of cancer patients with metastases localized in the liver. In this contribution, we present the results of an interactive segmentation approach for liver metastases in US acquisitions. A (semi-) automatic segmentation is still very challenging because of the low image quality and the low contrast between the metastasis and the surrounding liver tissue. Thus, the state of the art in clinical practice is still manual measurement and outlining of the metastases in the US images. We tackle the problem by providing an interactive segmentation approach providing real-time feedback of the segmentation results. The approach has been evaluated with typical US acquisitions from the clinical routine, and the datasets consisted of pancreatic cancer metastases. Even for difficult cases, satisfying segmentations results could be achieved because of the interactive real-time behavior of the approach. In total, 40 clinical images have been evaluated with our method by comparing the results against manual ground truth segmentations. This evaluation yielded to an average Dice Score of 85% and an average Hausdorff Distance of 13 pixels.Jan EggerDieter SchmalstiegXiaojun ChenWolfram G. ZollerAlexander HannNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jan Egger Dieter Schmalstieg Xiaojun Chen Wolfram G. Zoller Alexander Hann Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
description	Abstract Ultrasound (US) is the most commonly used liver imaging modality worldwide. Due to its low cost, it is increasingly used in the follow-up of cancer patients with metastases localized in the liver. In this contribution, we present the results of an interactive segmentation approach for liver metastases in US acquisitions. A (semi-) automatic segmentation is still very challenging because of the low image quality and the low contrast between the metastasis and the surrounding liver tissue. Thus, the state of the art in clinical practice is still manual measurement and outlining of the metastases in the US images. We tackle the problem by providing an interactive segmentation approach providing real-time feedback of the segmentation results. The approach has been evaluated with typical US acquisitions from the clinical routine, and the datasets consisted of pancreatic cancer metastases. Even for difficult cases, satisfying segmentations results could be achieved because of the interactive real-time behavior of the approach. In total, 40 clinical images have been evaluated with our method by comparing the results against manual ground truth segmentations. This evaluation yielded to an average Dice Score of 85% and an average Hausdorff Distance of 13 pixels.
format	article
author	Jan Egger Dieter Schmalstieg Xiaojun Chen Wolfram G. Zoller Alexander Hann
author_facet	Jan Egger Dieter Schmalstieg Xiaojun Chen Wolfram G. Zoller Alexander Hann
author_sort	Jan Egger
title	Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
title_short	Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
title_full	Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
title_fullStr	Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
title_full_unstemmed	Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
title_sort	interactive outlining of pancreatic cancer liver metastases in ultrasound images
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/5d0122f34c5e4d99af2e282b8168fec7
work_keys_str_mv	AT janegger interactiveoutliningofpancreaticcancerlivermetastasesinultrasoundimages AT dieterschmalstieg interactiveoutliningofpancreaticcancerlivermetastasesinultrasoundimages AT xiaojunchen interactiveoutliningofpancreaticcancerlivermetastasesinultrasoundimages AT wolframgzoller interactiveoutliningofpancreaticcancerlivermetastasesinultrasoundimages AT alexanderhann interactiveoutliningofpancreaticcancerlivermetastasesinultrasoundimages
_version_	1718384904338669568

Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images

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