Multi-Atlas Based Adaptive Active Contour Model with Application to Organs at Risk Segmentation in Brain MR Images - 31/10/20
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Graphical abstract |
Highlights |
• | Method is proposed for the segmentation of organ at risk in brain tumor MR images. |
• | It combines multi-atlas based segmentation with adaptive active contour model. |
• | Adaptive model makes contours adaptively evaluate based on local image gradient. |
• | Method was evaluated with geometric and dosimetric parameters. |
• | Experimental results show its clinical feasibility in brain tumor radiotherapy. |
Abstract |
Background |
Accurate delineation of organs at risk (OARs) is critical in radiotherapy. Manual delineation is tedious and suffers from both interobserver and intraobserver variability. Automatic segmentation of brain MR images has a wide range of applications in brain tumor radiotherapy. In this paper, we propose a multi-atlas based adaptive active contour model for OAR automatic segmentation in brain MR images.
Methods |
The proposed method consists of two parts: multi-atlas based OAR contour initiation and an adaptive edge and local region based active contour evolution. In the adaptive active contour model, we define an energy functional with an adaptive edge intensity fitting force which is responsible for evaluating contour inwards or outwards, and a local region intensity fitting force which guides the evolution of the contour.
Results |
Experimental results show that the proposed method achieved more accurate segmentation results in brainstem, eyes and lens automatic segmentation with the Dice Similar Coefficient (DSC) value of 87.19%, 91.96%, 77.11% respectively. Besides, the dosimetric parameters also demonstrate the high consistency of the manual OAR delineations and the auto segmentation results of the proposed method in brain tumor radiotherapy.
Conclusions |
The geometric and dosimetric evaluations show the desirable performance of the proposed method on the application of OARs segmentations in brain tumor radiotherapy.
Le texte complet de cet article est disponible en PDF.Keywords : Organs at risk segmentation, Active contour model, Multi-atlas segmentation, Radiotherapy
Plan
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