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
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




MRI Helps Create Personalized Brain Temperature Maps

By MedImaging International staff writers
Posted on 20 May 2021
Print article
Image: Metabolic heat (a), cerebral blood flow (b) and model-predicted brain temperature (c) in three volunteers (Photo courtesy of Emory University)
Image: Metabolic heat (a), cerebral blood flow (b) and model-predicted brain temperature (c) in three volunteers (Photo courtesy of Emory University)
A new study shows how data from magnetic resonance imaging (MRI) of brain tissue and vessel structure can facilitate personalized brain temperature predictions.

Developed by researchers at the Georgia Institute of Technology (Georgia Tech; Atlanta, GA, USA) and Emory University (Atlanta, GA, USA), the biophysical model can be used to generate 3D thermal distribution maps using whole brain MRI-based thermometry data. The model relies on two fundamental physical principles, conservation of energy and conservation of mass, to predict how heat is generated through metabolism and dissipated via blood flow throughout the brain, via conduction, convection, and advection.

For the study, the researchers first collected structural MRI brain images from three healthy volunteers. After several hours of data analysis and simulations, the biophysical model computed the distribution of brain temperature in the brain, visualized as three-dimensional (3D) maps. To validate the model, the researchers then collected temperature measurements using whole-brain MRI thermometry, compared these measurements to the model’s predictions, and found that they agreed. The study was published on April 15, 2021, in Communications Physics.

“Brain temperature varies throughout the brain as blood flow and metabolic demands change. This means that you cannot assign a single temperature to a brain,” said co-senior author Andrei Fedorov, PhD, of Georgia Tech. “All of the complexity [in the brain’s functioning] results in a very unique personal temperature map that actually tells us a lot about what may be happening to us, what may have happened in the past, or what may happen if we somehow perturb us as a human.”

Despite being only a fraction of the human body’s mass, the brain accounts for 20% of total oxygen consumption in resting conditions, which is used for neuronal metabolism, neural processes, and the functioning of glial, endothelial, and epithelial cells. All this energy is transformed into intense heat production. The brain is also exceptionally well vascularized, receiving 15–20% of total cardiac output, which also serves as the means to remove the heat continuously generated through brain metabolism and neurological function.

Related Links:
Georgia Institute of Technology
Emory University


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
X-Ray Detector
FDR-D-EVO III
Ultrasound Software
UltraExtend NX
New
Pre-Op Planning Solution
Sectra 3D Trauma

Print article
Radcal

Channels

Nuclear Medicine

view channel
Image: The new SPECT/CT technique demonstrated impressive biomarker identification (Journal of Nuclear Medicine: doi.org/10.2967/jnumed.123.267189)

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... 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.