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Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network

Abstract : Purpose: Transcranial Magnetic Stimulation (TMS) is a growing therapy for a variety of psychiatric and neurological disorders that arise from or are modulated by cortical regions of the brain represented by singular 3D target points. These target points are often determined manually with assistance from a pre-operative T1-weighted MRI, although there is growing interest in automatic target point localisation using an atlas. However, both approaches can be time-consuming which has an effect on the clinical workflow and the latter does not take into account patient variability such as the varying number of cortical gyri where these targets are located.Methods: This paper proposes a multi-resolution convolutional neural network for point localisation in MR images for a priori defined points in increasingly finely resolved versions of the input image. This approach is both fast and highly memory efficient, allowing it to run in high-throughput centres, and has the capability of distinguishing between patients with high levels of anatomical variability.Results: Preliminary experiments have found the accuracy of this network to be 7.26 ± 5.30 mm, compared to 9.39 ± 4.63 mm for deformable registration and 6.94 ± 5.10 mm for a human expert. For most treatment points, the human expert and proposed CNN statistically significantly outperform registration, but neither statistically significantly outperforms the other, suggesting that the proposed network has human-level performance. Conclusions: The human-level performance of this network indicates that it can improve TMS planning by automatically localising target points in seconds, avoiding more time-consuming registration or manual point localisation processes. This is particularly beneficial for out-of-hospital centres with limited computational resources where TMS is increasingly being administered.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-03283129
Contributor : John Stuart Haberl Baxter Connect in order to contact the contributor
Submitted on : Friday, July 9, 2021 - 4:36:51 PM
Last modification on : Tuesday, October 19, 2021 - 4:10:58 PM
Long-term archiving on: : Sunday, October 10, 2021 - 8:04:32 PM

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John Baxter, Quoc Anh Bui, Ehouarn Maguet, Stéphane Croci, Antoine Delmas, et al.. Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2021, 16 (7), pp.1077-1087. ⟨10.1007/s11548-021-02386-1⟩. ⟨hal-03283129⟩

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