Device Enables Non-Invasive and Safe Ultrasound Brain Treatments
By MedImaging International staff writers Posted on 29 Mar 2022 |

Current approaches in ultrasound-based therapies for the brain are focusing ultrasound waves to reach their specific target in the brain. For example, ultrasound waves are currently being used in clinical trials to treat epilepsy. But this has proven difficult, as ultrasound tends to bounce around within the skull, which leads to some areas of the brain being over-exposed while others are not exposed enough. In worst-case scenarios, this can cause hemorrhage and overheating in brain tissue. Now, a team of engineers has developed a device that is a first step to enabling noninvasive, ultrasound-based therapies for the brain.
Researchers at the UC San Diego Jacobs School of Engineering (La Jolla, CA, USA) developed the device by attempting a different approach: diffusing ultrasound waves instead of focusing them. They accomplished this by placing a microscale diffuser on the transducer that produces the ultrasound waves. The device is built based on the Schroeder diffuser–the best sound diffuser mathematical models can provide. The diffuser is built with tiny pits that modulate how the ultrasound waves are emitted. Specifically, the diffuser ensures the waves are emitted in a staggered manner, which helps prevent the creation of echoes. The depths of the pits are calculated with the Schroeder diffuser model. This is the same math that is used to design concert halls so that every audience member can hear music perfectly.
The ultrasound waves are applied to cells that have been engineered to be more responsive to ultrasound stimuli. The cells are exposed to an adenovirus that causes them to form an ion channel called TRPA1 that is sensitive to ultrasound. Researchers showed that the device worked as intended first in a Petri dish with human embryonic kidney cells and neuron cells. The cells showed twice as high an activation in the TRPA1 channel with the diffuser than without. In addition, researchers used the diffuser with an ultrasound wave generator on mice. They found that the diffuser creates a uniform acoustic field in the skull cavity, ensuring that only the brain regions engineered to be sensitive to ultrasound were stimulated. Next steps include better understanding the way ultrasound waves stimulate cells and conducting broader in vivo studies.
“We can’t modify the inside of the skull,” said senior author Professor James Friend, in the Department of Mechanical and Aerospace Engineering at the University of California San Diego. “The only thing we could do was to change how the device that produces the sound works. By using a targeted approach for this delivery, we can use uniformly distributed ultrasound instead of focused ultrasound.”
“The idea behind sonogenetics is to engineer cells to be more responsive to ultrasound stimuli,” said Aditya Vasan, a PhD student in Friend’s lab and the paper’s first author. “We do this by screening for proteins that respond to ultrasound stimulation at specific pressures and frequencies; and by genetically engineering specific brain regions to express these proteins."
“One of the goals with sonogenetics is to control which cells respond: think of it as a knob that controls lights that you have accurate control over,” added Vasan. “Ultimately, we want to show that sonogenetics work in people.”
Related Links:
University of California San Diego
Latest Ultrasound News
- Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
- Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
- High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
- World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
- Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
- Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
- AI Improves Detection of Congenital Heart Defects on Routine Prenatal Ultrasounds
- AI Diagnoses Lung Diseases from Ultrasound Videos with 96.57% Accuracy
- New Contrast Agent for Ultrasound Imaging Ensures Affordable and Safer Medical Diagnostics
- Ultrasound-Directed Microbubbles Boost Immune Response Against Tumors
- POC Ultrasound Enhances Early Pregnancy Care and Cuts Emergency Visits
- AI-Based Models Outperform Human Experts at Identifying Ovarian Cancer in Ultrasound Images
- Automated Breast Ultrasound Provides Alternative to Mammography in Low-Resource Settings
- Transparent Ultrasound Transducer for Photoacoustic and Ultrasound Endoscopy to Improve Diagnostic Accuracy
- Wearable Ultrasound Patch Enables Continuous Blood Pressure Monitoring
- AI Image-Recognition Program Reads Echocardiograms Faster, Cuts Results Wait Time
Channels
Radiography
view channel
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read more
Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
Lung cancer continues to be the leading cause of cancer-related deaths worldwide. While advanced technologies like CT scanners play a crucial role in detecting lung cancer, more accessible and affordable... Read moreMRI
view channel
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more