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




Advanced MRI Visualizes Pulsatile Brain Motion

By MedImaging International staff writers
Posted on 18 May 2021
Print article
Image: Brain displacement patterns enabled by extra processing of 3D aMRI (Photo courtesy of Mātai)
Image: Brain displacement patterns enabled by extra processing of 3D aMRI (Photo courtesy of Mātai)
An advanced magnetic resonance imaging (aMRI) technique can capture three dimensional (3D) brain movements in real time, according to a new study.

Developed at Mātai Medical Research Institute (Mātai; Gisborne, New Zealand), Stanford University (CA, USA), and other institutions, 3D aMRI builds on previous 2D aMRI, and can show minute movements of the brain at a spatial resolution of just 1.2mm3, about the width of a human hair. The actual movements are amplified by up to a factor of 25 to allow detailed inspection of the movements. The detailed, animated, and magnified movements can help clinicians identify abnormalities, such as those caused by blockages of spinal fluids.

The researchers also qualitatively compared 3D aMRI to 2D aMRI on multi‐slice and volumetric balanced steady‐state free precession cine data and phase contrast MRI (PC‐MRI), using 3T scans acquired from healthy volunteers. The volumetric 3D aMRI data was also used to generate optical flow maps and 4D animations that reveal complete brain tissue and cerebrospinal fluid (CSF) motion, serving to highlight the piston‐like motion of the four brain ventricles. The study was published on May 5, 2021, in Magnetic Resonance in Medicine.

“The new method magnifies microscopic rhythmic pulsations of the brain as the heart beats to allow the visualization of minute piston-like movements, that are less than the width of a human hair,” said lead author Itamar Terem, MSc, a graduate student at Stanford. “The new 3D version provides a larger magnification factor, which gives us better visibility of brain motion, and better accuracy.”

“This fascinating new visualization method could help us understand what drives the flow of fluid in and around the brain. It will allow us to develop new models of how the brain functions that will guide us in how to maintain brain health and restore it in disease or disorder,” said study co-author Miriam Sadeng, MD, PhD, of the University of Auckland department of anatomy and medical imaging. “The optical flow maps and 4D animations of 3D aMRI may open up exciting applications for neurological diseases that affect the biomechanics of the brain and brain fluids.”

aMRI is based on the use of a phase‐based motion magnification algorithm applied to 2D multi‐slice cardiac gated (cine MRI) data, which results in an amplified “movie” of brain motion. aMRI has also shown promise for visualizing cerebrovascular motion using amplified flow imaging (aFlow), which can capture the characteristics of transient events present in brain tissue, such as blood flow interaction with arterial walls, when applied to 3D PC‐MRA.

Related Links:
Mātai Medical Research Institute
Stanford University


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Oncology Information System
RayCare
Silver Member
Mobile X-Ray Barrier
Lead Acrylic Mobile X-Ray Barriers
C-Arm with FPD
Digiscan V20 / V30

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.