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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Algorithms to Enhance Approach for Detecting Tumors

By MedImaging International staff writers
Posted on 06 Jun 2018
Case Western Reserve University (Cleveland, OH, USA) has entered into a collaboration with the Quantum team at Microsoft (Redmond, VA, USA) to use the power of quantum computing for improving patient care. CWRU will use Microsoft’s quantum-inspired algorithms to enhance their approach to detecting cancerous tumors.

CWRU, which has been conducting research in magnetic resonance imaging (MRI), has introduced an approach named magnetic resonance fingerprinting to improve the accuracy of MRI results in shorter turnaround times. In comparison to typical MRI machines, which use a series of fixed acquisitions for diagnosis, magnetic resonance fingerprinting uses a constantly varying sequence of pulses, leading to a single, unified exam. The final quantitative maps are generated by comparing the response against a lookup table, leading to faster and repeatable characterization of tissues. However, identifying the best sequence of pulses and readouts in order to achieve the best scan efficiency, or an acquisition optimized for identifying a particular disease, still remains a challenge.

Microsoft will help optimize the pulse sequences by mapping the problem to a suitable form for quantum computers and then use a quantum-inspired algorithm, which runs on the classical computers currently in use. By generating an optimized pulse sequence, the CWRU researchers will be able to create a solution to improve the diagnostic capability of MRI. This will result in a better patient experience, reduction in time required in the MRI machine and more accurate, rapid results. After the scan is complete, Microsoft HoloLens will be used for a 3D, holographic model of the results.

According to Microsoft, the use of quantum capabilities currently available with its quantum-inspired algorithms and Microsoft Azure simulator will offer immense possibilities for improving the quality of healthcare and medical research, as well as allow the combination of quantum computing, machine learning, and mixed reality to turn the challenges of the past into solutions of the future.

Related Links:
Case Western Reserve University
Microsoft

X-ray Diagnostic System
FDX Visionary-A
Pocket Fetal Doppler
CONTEC10C/CL
Computed Tomography System
Aquilion ONE / INSIGHT Edition
New
Mammography System (Analog)
MAM VENUS

Channels

Ultrasound

view channel
Image: The new implantable device for chronic pain management is small and flexible (Photo courtesy of The Zhou Lab at USC)

Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery

Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more

Nuclear Medicine

view channel
Image: The diagnostic tool could improve diagnosis and treatment decisions for patients with chronic lung infections (Photo courtesy of SNMMI)

Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections

Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... 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 © 2000-2025 Globetech Media. All rights reserved.