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.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

MRI Multitasking Increases Diagnostic Accuracy and Reliability

By MedImaging International staff writers
Posted on 24 Apr 2018
Print article
Image: Lead author Anthony Christodoulou, PhD (Photo courtesy of Anthony Christodoulou).
Image: Lead author Anthony Christodoulou, PhD (Photo courtesy of Anthony Christodoulou).
A new cardiac magnetic resonance (CMR) imaging technique improves patient comfort and shortens testing time, according to a new study.

Researchers at Cedars-Sinai Medical Center (Los Angeles, CA, USA), the University of California, Los Angeles (UCLA; USA), and Xuanwu Hospital (Beijing, China) conducted a study to examine how the need to reduce CMR imaging artefacts arising from body motion, the beating heart, and blood flow during quantitative imaging could be circumvented in order to make the procedure more reliable. The researchers decided therefore that rather than try to avoid the motion caused by breathing and heartbeats, they would embrace it.

The new technique, which they dubbed CMR Multitasking, abstracts physiological motion and other dynamic processes as time extents, which can be resolved via low-rank tensor imaging, allowing for motion-resolved quantitative CMR in up to four time dimensions. The continuous-acquisition approach, captures--rather than avoids--motion, relaxation, and other dynamics, allowing for T1 mapping, T1/T2 mapping and time-resolved T1mapping of myocardial perfusion without electrocardiography (ECG) information and/or under free-breathing conditions. The study was published on April 9, 2018, in Nature Biomedical Engineering.

“MR Multitasking continuously acquires image data and then, when the test is completed, the program separates out the overlapping sources of motion and other changes into multiple time dimensions,” said lead author Anthony Christodoulou, PhD, of the Cedars-Sinai Biomedical Imaging Research Institute. “If a picture is 2D, then a video is 3D because it adds the passage of time. Our videos are 6D because we can play them back four different ways: We can playback cardiac motion, respiratory motion, and two different tissue processes that reveal cardiac health.”

“It is challenging to obtain good cardiac magnetic resonance images, because the heart is beating incessantly, and the patient is breathing, so the motion makes the test vulnerable to errors,” said Professor Shlomo Melmed, MB, ChB, dean of the Cedars-Sinai medical faculty. “By novel approaches to this longstanding problem, this research team has found a unique solution to improve cardiac care for patients around the world for years to come.”

CMR is a medical imaging technology for the non-invasive assessment of the function and structure of the cardiovascular system, based on the same basic principles as magnetic resonance imaging (MRI), with optimizations that use rapid imaging sequences. As a result, CMR images are currently acquired in steps. Patients breathe in and then hold their breath for each image, then recover before repeating the process for the next image.

Related Links:
Cedars-Sinai Medical Center
University of California, Los Angeles
Xuanwu Hospital

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Ultrasound System
Acclarix AX9
New
Illuminator
Trimline Basic
New
Color Doppler Ultrasound System
KC20

Print article

Channels

Ultrasound

view channel
Image: The powerful machine learning algorithm can “interpret” echocardiogram images and assess key findings (Photo courtesy of 123RF)

Largest Model Trained On Echocardiography Images Assesses Heart Structure and Function

Foundation models represent an exciting frontier in generative artificial intelligence (AI), yet many lack the specialized medical data needed to make them applicable in healthcare settings.... Read more

Nuclear Medicine

view channel
Image: The multi-spectral optoacoustic tomography (MSOT) machine generates images of biological tissues (Photo courtesy of University of Missouri)

New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure

Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... 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