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

Publikation: Beitrag in einer FachzeitschriftArtikel

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 …
Originalspracheenglisch
Aufsatznummer105102
Seitenumfang23
FachzeitschriftComputer Methods and Programs in Biomedicine
Jahrgang182
DOIs
PublikationsstatusVeröffentlicht - 2019

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