A Review on Multiplatform Evaluations of Semi-Automatic Open-Source Based Image Segmentation for Cranio-Maxillofacial Surgery

Jürgen Wallner, Michael Schwaiger, Kerstin Maria Hochegger, Christina Gsaxner, Wolfgang Zemann, Jan Egger

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Background and Objectives
Computer-assisted technologies, such as image-based segmentation, play an important role in the diagnosis and treatment support in cranio-maxillofacial surgery. However, although many segmentation software packages exist, their clinical in-house use is often challenging due to constrained technical, human or financial resources. Especially technological solutions or systematic evaluations of open-source based segmentation approaches are lacking. The aim of this contribution is to assess and review the segmentation quality and the potential clinical use of multiple commonly available and license-free segmentation methods on different medical platforms.
Methods
In this contribution, the quality and accuracy of open-source segmentation methods was assessed on different platforms using patient-specific clinical CT-data and reviewed with the literature. The image-based …
Original languageEnglish
Article number105102
Number of pages23
JournalComputer methods and programs in biomedicine
Volume182
DOIs
Publication statusPublished - 2019

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Oral Surgery
Image segmentation
Software packages
Surgery
Licensure
Software
Technology
Therapeutics

Cite this

A Review on Multiplatform Evaluations of Semi-Automatic Open-Source Based Image Segmentation for Cranio-Maxillofacial Surgery. / Wallner, Jürgen; Schwaiger, Michael; Hochegger, Kerstin Maria; Gsaxner, Christina; Zemann, Wolfgang; Egger, Jan.

In: Computer methods and programs in biomedicine, Vol. 182, 105102, 2019.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Egger, Jan

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