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




Study Shows fMRI Scans May Include Too Many False Positive Results

By MedImaging International staff writers
Posted on 18 Jul 2016
Print article
Image: An example of a functional Magnetic Resonance Imaging (fMRI) scan (Photo courtesy of the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital).
Image: An example of a functional Magnetic Resonance Imaging (fMRI) scan (Photo courtesy of the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital).
Researchers in Sweden have shown that statistical techniques in widespread use today for analyzing brain activity based on fMRI scans may be unreliable.

The study was published online before print in the June 28, 2016, issue of the Proceedings of the National Academy of Sciences (PNAS). The researchers tested existing analysis techniques by using them to analyze know reliable data, and found that functional spatial extent inferences from Magnetic Resonance Imaging (fMRI) images showed false positive activity in the brain in up to 60% of the cases, instead of the accepted number of 5%.

The researchers from Linköping University (Linköping, Sweden), and the University of Warwick (Coventry, UK) used new statistical analysis methods, based on fewer assumption and one thousand times more calculations than existing methods, and were able to achieve results that were significantly more certain. The researchers used modern computer graphic processing cards and were able to reduce the processing time considerably.

The researchers used imaging data from 499 healthy subjects, made three million comparisons of randomly selected groups of subjects, and analyzed the data using existing calculation methods and the new heavier calculation techniques. The researchers found that the new methods achieved a considerably better result, with only 5% difference, compared to differences of up to 60% using existing analysis techniques.

Dr. Eklund, Linköping University, said, "It really feels great; it's recognition and I hope we can get a discussion going in research circles regarding how we validate models. Today, there is both data available to validate and enough processing power to perform the calculations."

Related Links:
Linköping University
University of Warwick
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Oncology Information System
RayCare
New
Ultrasound Doppler System
Doppler BT-200
New
PACS Workstation
CHILI Web Viewer

Print article

Channels

Radiography

view channel
:	Image: The AI model could be a valuable adjunct to human radiologists in breast cancer diagnoses and risk prediction (Photo courtesy of 123RF)

AI Model Predicts 5-Year Breast Cancer Risk from Mammograms

Approximately 13% of U.S. women, or one in every eight, are predicted to develop invasive breast cancer over their lifetime, with 1 in 39 women (3%) succumbing to the illness, according to the American... Read more

Nuclear Medicine

view channel
Image: The AI system uses scintigraphy imaging for early diagnosis of cardiac amyloidosis (Photo courtesy of 123RF)

AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging

Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read more

General/Advanced Imaging

view channel
Image: The CIARTIC Move self-driving mobile C-arm has received FDA clearance (Photo courtesy of Siemens)

Self-Driving Mobile C-Arm Reduces Imaging Time during Surgery

Intraoperative imaging faces significant challenges due to staff shortages and the high demands placed on surgical teams in the operating room (OR). A common challenge during many OR procedures is the... 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

Industry News

view channel
Image: Samsung Medison CEO Mr. Yongkwan Kim and Bracco Imaging CEO Dr. Fulvio Renoldi Bracco endorsed a MoU agreement (Photo courtesy of Bracco Group)

Samsung and Bracco Enter Into New Diagnostic Ultrasound Technology Agreement

Samsung Medison (Seoul, South Korea) and Bracco Imaging (Milan, Italy) have entered into a Memorandum of Understanding (MoU) agreement to pioneer a new area for diagnostic ultrasound devices and contrast agents.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.