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

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.
30 Jan 2023 - 02 Feb 2023

VR Tool Increases Efficiency of Brain Scan Analysis

By MedImaging International staff writers
Posted on 06 Sep 2018
Print article
Image: The Virtual Brain Segmenter could increase the efficiency of brain scan analysis (Photo courtesy of Dominique Duncan).
Image: The Virtual Brain Segmenter could increase the efficiency of brain scan analysis (Photo courtesy of Dominique Duncan).
Researchers at the Mark and Mary Stevens Neuroimaging and Informatics Institute at the Keck School of Medicine of University of Southern California {(USC), Los Angeles, CA, USA} have designed a virtual reality (VR) tool for correcting errors in brain scan data. The tool named Virtual Brain Segmenter (VBS) transforms a tedious step in the scientific process into an immersive experience and significantly increases the efficiency of brain scan analysis.

During automatic processing of the MRI data collected from study participants by the researchers, the segmentation step separates the brain into labeled regions to allow for close examination of the different structures. However, the automation has some drawbacks and researchers are required to manually correct the errors before proceeding with the analysis. This can be time consuming work and requires labs to hire undergraduate research assistants to correct the segmentation errors, leading to wasted time and resources spent on training.

In order to make the process more efficient and intuitive, and correct the segmentation errors with less training, the researchers launched an experimental trial to test the efficacy of VR in brain segmentation. The researchers tested 30 participants who were completely new to brain segmentation on using a MacBook to perform a minor error correction with a data cleanup program and completing the same task in VBS with a VR headset and two controllers.

They found that the participants who used VBS as compared to those using the data cleanup program finished the correction 68 seconds faster, translating into significant time savings as the task usually requires less than three minutes to be completed.

“This project is particularly exciting because not much has been done with VR in the field of neuroscience,” said Arthur Toga, provost professor and director of the neuroimaging and informatics institute. “Our main goal is to put this tool in the hands of researchers around the world. We see that as a way to continue driving discovery in the field.”

Related Links:
University of Southern California

Print article



view channel
Image: Hyperpolarized MRI technology reveals changes in heart muscle’s sugar metabolism after heart attack (Photo courtesy of ETH Zurich)

MRI Technology to Visualize Metabolic Processes in Real Time Could Improve Heart Disease Diagnosis

Magnetic resonance imaging (MRI) has become an indispensable part of medicine. It allows unique insights into the body and diagnosis of various diseases. However, current MRI technology has its limitations:... Read more


view channel
Image: A combination of ultrasound and nanobubbles allows cancerous tumors to be destroyed without surgery (Photo courtesy of Tel Aviv University)

Ultrasound Combined With Nanobubbles Enables Removal of Tumors Without Surgery

The prevalent method of cancer treatment is surgical removal of the tumor, in combination with complementary treatments such as chemotherapy and immunotherapy. Therapeutic ultrasound to destroy the cancerous... Read more

General/Advanced Imaging

view channel
Image: AI tool predicts reduced blood flow to the heart (Photo courtesy of Pexels)

AI Tool Uses CT Scans to Identify Patients at Risk of Reduced Blood Flow to the Heart

Blockages of the coronary arteries typically occur due to the buildup of fatty plaques. This may restrict blood flow to the heart, causing chest pain, heart attacks, or even death. Identifying which arteries... 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 © 2000-2022 Globetech Media. All rights reserved.