Imaging the brain with ultrasound full-waveform inversion
Lead Research Organisation:
Imperial College London
Department Name: Earth Science and Engineering
Abstract
Rapid brain imaging is central to the diagnosis and treatment of acute neurological conditions - for example stroke or head trauma. Existing imaging methods require large, immobile, high-power instruments that are near-impossible to deploy outside specialized environments, leading to unnecessarily delayed diagnosis and treatment, and consequent increased disability and higher fatality rates. This project will create a device that can be simply and rapidly applied to any patient, any time, any place, exploiting advances that have already revolutionised imaging in geophysics. We will image the brain using ultrasound waves, transmitted across the head, applying advanced computer modelling to remove the distorting effects of the skull, thereby enabling high-resolution high-contrast imaging of the brain unachievable by conventional ultrasound.
The petroleum industry has spent large sums developing advanced geophysical algorithms to image oil and gas deposits in three dimensions. Foremost among these is "full-waveform inversion" (FWI), a computationally intensive technique in which accurate modelling of soundwave propagation through a three-dimensional object is used to recover the detailed internal properties of that object. This project will adapt and transfer that technology across disciplines so that it can be applied directly for medical imaging of the brain, leading to cheaper, faster, more-accurate clinical diagnosis and treatment.
The main existing technologies used in three-dimensional medical imaging are magnetic resonance imaging (MRI), x-ray computed tomography (CT), and pulse-echo ultrasound. MRI is high resolution and high accuracy but is time consuming, expensive and immobile; it cannot be applied safely without a preliminary detailed investigation to ensure the absence of ferromagnetic bodies within any new patient. X-ray CT is cheaper and faster, but it is typically lower resolution than MRI, with poor soft-tissue contrast, and it uses harmful ionising radiation. Conventional pulse-echo ultrasound is cheap, fast, portable and universally safe, but it uses high frequencies that have limited penetration, and that are especially attenuated and distorted by the bones of the skull. Consequently, existing ultrasound technology is unable to image the adult brain successfully within an intact human skull.
Ultrasound at frequencies below those normally used for imaging does however have the penetration required to travel right across the head. Full-waveform inversion is able to produce accurate high-resolution images using lower-frequency data than is possible using conventional techniques; FWI is also able to compensate accurately for all the distortions generated by the skull. Consequently, the combination of low-frequency transmitted ultrasound with full-waveform inversion is able to produce well-resolved accurate images of the entire human brain. The potential of this approach has already been demonstrated in computer and laboratory simulations; this project now seeks to replicate that success in the laboratory on a live human subject.
Safe, fast, quantitative, universally applicable, deployable continuously, and above all portable by paramedics, our device and our approach aim to revolutionise brain imaging, in health and disease. The technology has particular relevance to stroke - globally the second-commonest cause of premature death and a major, growing cause of adult disability - and to brain imaging in resource-limited and inaccessible environments.
The petroleum industry has spent large sums developing advanced geophysical algorithms to image oil and gas deposits in three dimensions. Foremost among these is "full-waveform inversion" (FWI), a computationally intensive technique in which accurate modelling of soundwave propagation through a three-dimensional object is used to recover the detailed internal properties of that object. This project will adapt and transfer that technology across disciplines so that it can be applied directly for medical imaging of the brain, leading to cheaper, faster, more-accurate clinical diagnosis and treatment.
The main existing technologies used in three-dimensional medical imaging are magnetic resonance imaging (MRI), x-ray computed tomography (CT), and pulse-echo ultrasound. MRI is high resolution and high accuracy but is time consuming, expensive and immobile; it cannot be applied safely without a preliminary detailed investigation to ensure the absence of ferromagnetic bodies within any new patient. X-ray CT is cheaper and faster, but it is typically lower resolution than MRI, with poor soft-tissue contrast, and it uses harmful ionising radiation. Conventional pulse-echo ultrasound is cheap, fast, portable and universally safe, but it uses high frequencies that have limited penetration, and that are especially attenuated and distorted by the bones of the skull. Consequently, existing ultrasound technology is unable to image the adult brain successfully within an intact human skull.
Ultrasound at frequencies below those normally used for imaging does however have the penetration required to travel right across the head. Full-waveform inversion is able to produce accurate high-resolution images using lower-frequency data than is possible using conventional techniques; FWI is also able to compensate accurately for all the distortions generated by the skull. Consequently, the combination of low-frequency transmitted ultrasound with full-waveform inversion is able to produce well-resolved accurate images of the entire human brain. The potential of this approach has already been demonstrated in computer and laboratory simulations; this project now seeks to replicate that success in the laboratory on a live human subject.
Safe, fast, quantitative, universally applicable, deployable continuously, and above all portable by paramedics, our device and our approach aim to revolutionise brain imaging, in health and disease. The technology has particular relevance to stroke - globally the second-commonest cause of premature death and a major, growing cause of adult disability - and to brain imaging in resource-limited and inaccessible environments.
Publications
Ali R
(2024)
2-D Slicewise Waveform Inversion of Sound Speed and Acoustic Attenuation for Ring Array Ultrasound Tomography Based on a Block LU Solver.
in IEEE transactions on medical imaging
Cueto C
(2023)
Corrigendum to Stride: A flexible software platform for high-performance ultrasound computed tomography Computer Methods and Programs in Biomedicine 221 (2022) 106855.
in Computer methods and programs in biomedicine
Graham M
(2023)
Latent Transformer Models for out-of-distribution detection
in Medical Image Analysis
Hansen-Shearer J
(2024)
Ultrafast 3-D Transcutaneous Super Resolution Ultrasound Using Row-Column Array Specific Coherence-Based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, in Rabbit and in Human Study
in Ultrasound in Medicine & Biology
Jiang Z
(2024)
An Ultrasound Array of Emitter-Receiver Stacks for Microbubble-Based Therapy
in IEEE Transactions on Biomedical Engineering
Lerendegui M
(2024)
ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging
in IEEE Transactions on Medical Imaging
Matsulevits A
(2024)
Deep learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms.
in Brain communications
Nelson APK
(2024)
The minimal computational substrate of fluid intelligence.
in Cortex; a journal devoted to the study of the nervous system and behavior
| Description | A high-precision non-invasive multi-focal bidirectional electro-acoustic neural interface |
| Amount | £4,192,945 (GBP) |
| Funding ID | SCNI-PR01-P02 |
| Organisation | Advanced Research and Innovation Agency (ARIA) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2025 |
| End | 12/2028 |
| Description | Meeting with manufacture-The Phased Array Company (TPAC) |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Our project team visited the TPAC company (based in France) where they build their ultrasound system and tested our parts with their system. The visit shaped our next steps for the development of the prototype product and ultrasound system on the project. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Meeting with manufactures-Cephasonics |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Further discussion with the manufactures about the requirement of the collaboration and co-development of our prototype and system. The discussion shaped our direction of next steps for the development of our prototype helmet and associated system. |
| Year(s) Of Engagement Activity | 2024 |
| Description | NEURIPS 2023 Conference - Medical Imaging Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Our project member joined the workshop at NEURIPS 2023 Conference: Convolve and Conquer - Data Comparison with Wiener Filters. Our team managed to broadcast the group's new development in the machine learning field, focused on medical imaging applications. This helped the project team attract the interests from industry and academic and inspired collaboration. |
| Year(s) Of Engagement Activity | 2023 |
