Automatic Tongue Delineation from MRI Images with a Convolutional Neural Network Approach

• URL: http://arxiv.org/abs/2412.04893v1
• Date: Fri, 06 Dec 2024 09:49:24 GMT
• Title: Automatic Tongue Delineation from MRI Images with a Convolutional Neural Network Approach
• Authors: Karyna Isaieva, Yves Laprie, Nicolas Turpault, Alexis Houssard, Jacques Felblinger, Pierre-André Vuissoz,
• Abstract summary: We present results of automatic tongue delineation achieved by means of U-Net auto-encoder convolutional neural network. We used real-time magnetic resonance images and manually annotated 1-pixel wide contours as inputs.
• Score: 6.255188867380954
• License:
• Abstract: Tongue contour extraction from real-time magnetic resonance images is a nontrivial task due to the presence of artifacts manifesting in form of blurring or ghostly contours. In this work, we present results of automatic tongue delineation achieved by means of U-Net auto-encoder convolutional neural network. We present both intra- and inter-subject validation. We used real-time magnetic resonance images and manually annotated 1-pixel wide contours as inputs. Predicted probability maps were post-processed in order to obtain 1-pixel wide tongue contours. The results are very good and slightly outperform published results on automatic tongue segmentation.

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