Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma
Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna, Oviedova, Tom Vercauteren, Jonathan Shapey

TL;DR
This paper introduces a two-stage MRI segmentation method for Vestibular Schwannoma, utilizing a novel Boundary Distance Loss to improve intra-/extra-meatal boundary accuracy, achieving significant performance gains over baseline models.
Contribution
The study proposes a new Boundary Distance Loss and a two-stage segmentation approach for better delineation of intra-/extra-meatal regions in Vestibular Schwannoma from MRI data.
Findings
Achieved higher Dice scores for intra-/extra-meatal segmentation compared to baseline.
Boundary Distance Loss significantly improves boundary accuracy.
Two-stage approach enhances overall segmentation performance.
Abstract
Vestibular Schwannoma (VS) typically grows from the inner ear to the brain. It can be separated into two regions, intrameatal and extrameatal respectively corresponding to being inside or outside the inner ear canal. The growth of the extrameatal regions is a key factor that determines the disease management followed by the clinicians. In this work, a VS segmentation approach with subdivision into intra-/extra-meatal parts is presented. We annotated a dataset consisting of 227 T2 MRI instances, acquired longitudinally on 137 patients, excluding post-operative instances. We propose a staged approach, with the first stage performing the whole tumour segmentation and the second stage performing the intra-/extra-meatal segmentation using the T2 MRI along with the mask obtained from the first stage. To improve on the accuracy of the predicted meatal boundary, we introduce a task-specific…
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Taxonomy
TopicsMeningioma and schwannoma management · Vestibular and auditory disorders · Ear and Head Tumors
