ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2022
Classical and Learned MR to Pseudo-CT Mappings for Accurate Transcranial Ultrasound Simulation.
Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 1 citations in OpenAlex.
- MR-based skull parametric modeling for blood-brain barrier opening in non-human primates.Scientific reports · 2026Article
- Empirical limitations of current low-intensity focused ultrasound simulation platforms.medRxiv : the preprint server for health sciences · 2026Article
- A deep-learning model for one-shot transcranial ultrasound simulation and phase aberration correction.Medical physics · 2026Article
- Optimization of MR acoustic radiation force imaging (MR-ARFI) for human transcranial focused ultrasound.Magnetic resonance in medicine · 2025Article
- Parameter optimisation for mitigating somatosensory confounds during transcranial ultrasonic stimulation.bioRxiv : the preprint server for biology · 2025Article
- Leveraging transcranial ultrasound stimulation to enhance self-regulation in emotion and sleep.Frontiers in human neuroscience · 2025Article
- Robust deep learning estimation of cortical bone porosity from MR T1-weighted images for individualized transcranial focused ultrasound planning.medRxiv : the preprint server for health sciences · 2024Article
- ENHANCING TRANSCRANIAL FOCUSED ULTRASOUND TREATMENT PLANNING WITH SYNTHETIC CT FROM ULTRA-SHORT ECHO TIME (UTE) MRI: A MULTI-TASK DEEP LEARNING APPROACH.Proceedings. IEEE International Symposium on Biomedical Imaging · 2024Article
- Noninvasive intervention by transcranial ultrasound stimulation: Modulation of neural circuits and its clinical perspectives.Psychiatry and clinical neurosciences · 2024Review
- Evaluation of synthetically generated computed tomography for use in transcranial focused ultrasound procedures.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Generating Patient-Specific Acoustic Simulations for Transcranial Focused Ultrasound Procedures Based on Optical Tracking Information.IEEE open journal of ultrasonics, ferroelectrics, and frequency control · 2023Article
- Parameter optimisation for mitigating somatosensory confounds during transcranial ultrasonic stimulation.Brain stimulationArticle
- Model-based navigation of transcranial focused ultrasound neuromodulation in humans: Application to targeting the amygdala and thalamus.Brain stimulationArticle
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Model-based treatment planning for transcranial ultrasound therapy typically involves mapping the acoustic properties of the skull from an X-ray computed tomography (CT) image of the head. Here, three methods for generating pseudo-CT (pCT) images from magnetic resonance (MR) images were compared as an alternative to CT. A convolutional neural network (U-Net) was trained on paired MR-CT images to generate pCT T images from either T1-weighted or zero-echo time (ZTE) MR images (denoted tCT and zCT, respectively). A direct mapping from ZTE to pCT was also implemented (denoted cCT). When comparing the pCT and ground-truth CT images for the test set, the mean absolute error was 133, 83, and 145 Hounsfield units (HU) across the whole head, and 398, 222, and 336 HU within the skull for the tCT, zCT, and cCT images, respectively. Ultrasound simulations were also performed using the generated pCT images and compared to simulations based on CT. An annular array transducer was used targeting the visual or motor cortex. The mean differences in the simulated focal pressure, focal position, and focal volume were 9.9%, 1.5 mm, and 15.1% for simulations based on the tCT images; 5.7%, 0.6 mm, and 5.7% for the zCT; and 6.7%, 0.9 mm, and 12.1% for the cCT. The improved results for images mapped from ZTE highlight the advantage of using imaging sequences, which improves the contrast of the skull bone. Overall, these results demonstrate that acoustic simulations based on MR images can give comparable accuracy to those based on CT.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.