MRI for restless patients

It's not easy to keep absolutely still in the 'bore' during a magnetic resonance imaging examination – yet even the tiniest motion can distort the results. The PROMO optical recognition system compensates for such errors.

The patient lies in the bore, keeping as still as he can - but he finds it very hard to remain immobile for so long. If he moves too much, he risks causing errors - known by experts as artifacts - in the magnetic resonance image. This problem is particularly critical when high-resolution images are needed, as in an examination of the brain. If the patient is a child, or is seriously ill, it may even be necessary to administer an anesthetic to prevent him or her from moving. Until now, it has only been possible to correct artifacts after a delay of several seconds or after completing the scan. What is more, artifacts prolong and disturb the examinations.

Motion artifacts in magnetic resonance imaging will soon be a thing of the past: The PROMO technique developed by researchers at the Fraunhofer Institute for Computer Graphics IGD corrects errors caused by motion while the scan is still in progress. "PROMO determines the patient’s current head position immediately prior to each individual scan," explains IGD project manager Christian Dold. "The system transmits the exact position to the scanner of the tomograph sixty times a second. Before the scanner takes another picture, it adjusts the scanning image section to the current head position." PROMO is an optical recognition system: The patient bites for a few seconds on an individually fitted bite bar that is held in place by a slight vacuum. Attached to the bite bar is a frame with reflective markers. PROMO determines the spatial position of the markers and immediately transmits the information to the scanner. Thereafter, even the slightest head movement is immediately detected and compensated for.

Since even the position of patients who are used to keeping still may shift by one to three millimeters, PROMO improves the image quality even for these people. This means that functional magnetic resonance imaging (fMRT), for example, could become a routine procedure. A technique for displaying metabolic changes, fMRT requires extremely high-resolution images that can be distorted by even tiny head movements of less than one millimeter. In a first series of tests conducted with colleagues at Freiburg university hospital, PROMO proved to be very successful. It significantly improved the quality of the fMRT images even for patients who had frequently moved their heads. PROMO is already patented in Germany, and a patent is pending in the USA. The developers are confident that PROMO will be in use in hospitals within the next two years.

Contact:
Christian Dold
Phone: +49 6151 155-523
Fax: +49 6151 155-559
Fraunhofer-Institut für Graphische Datenverarbeitung
IGD
Fraunhoferstraße 5
64283 Darmstadt

For further information, please visit:
http://www.igd.fhg.de

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...