We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Ultrafast Ultrasound Imaging Technique Captures 1000 Images per Second

By MedImaging International staff writers
Posted on 18 Jan 2024
Print article
Image: Vascular changes in acute and diabetic renal failure (Photo courtesy of POSTECH)
Image: Vascular changes in acute and diabetic renal failure (Photo courtesy of POSTECH)

The kidney's critical role in filtering waste and excess substances from the bloodstream can be severely impacted by conditions like hypertension and diabetes, potentially leading to kidney failure. This irreversible condition requires lifelong management through artificial hemodialysis or kidney transplantation. The direct connection between blood perfusion in the kidneys and their filtration function makes microvascular imaging a crucial tool for both the prevention and treatment of kidney failure.

Contemporary imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) face challenges in accurately capturing fine vascular structures. This is due to their inherent limitations in resolution and sensitivity. Additionally, in patients with kidney disease, the use of contrast agents in these methods is limited due to the risk of potentially fatal side effects. On the other hand, ultrasound imaging, known for its safety even in fetal monitoring, uses the Doppler effect to measure blood flow velocity and direction in real time without requiring contrast agents. However, traditional ultrasound imaging speeds are not sufficient to capture the fine blood vessels with the necessary sensitivity.

A research team at Pohang University of Science and Technology (POSTECH, Pohang, South Korea) has realized significant advancements in microvascular sensitivity. They have achieved this by employing ultrafast ultrasound acquisition techniques that capture images at 1,000 frames per second, over 100 times faster than conventional ultrasound methods. This breakthrough allowed them to image the three-dimensional microvasculature of the kidneys without the need for any contrast agents. In a pioneering feat, they achieved imaging of the entire three-dimensional vascular network of the renal artery, vein, and the minute 167μm (micrometer) thick interlobular arteries and veins in the renal cortex.

Additionally, the team conducted a continuous observation of renal vascular changes in an animal model with induced renal failure. Through this, they performed a multivariate analysis using various hemodynamic and vascular morphological indicators. Their findings revealed a significant decrease in renal blood flow during acute renal failure. In cases of diabetic nephropathy, they observed chronic vascular degeneration in the kidneys, characterized by vascular distortion. This innovative imaging technique holds promise in revolutionizing the monitoring and treatment of kidney diseases.

"The system allows us to understand the pathophysiology of diseases leading to kidney failure, enabling the observation of vascular changes before and after kidney transplantation," said Professor Chulhong Kim. "It has significant potential to be used to study blood circulation and functional impairment across various organs including the digestive system, circulatory system, and cerebral nervous system."

Related Links:
POSTECH

New
Gold Member
X-Ray QA Meter
T3 AD Pro
LED-Based X-Ray Viewer
Dixion X-View
New
DRF DR & Remote Fluoroscopy Solution
CombiDiagnost R90
New
Gold Member
X-Ray QA Meter
T3 RG Pro

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

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
Copyright © 2000-2024 Globetech Media. All rights reserved.