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

Siemens Healthineers

Provides customized electronic systems and advanced imaging, diagnostics, therapy, and healthcare IT solutions for th... read more Featured Products: More products

Download Mobile App




Lightweight MRI Scanner Packs a Heavyweight Punch

By MedImaging International staff writers
Posted on 20 Jul 2021
Print article
Image: The Magnetom Free.Max wide bore MRI scanner (Photo courtesy of Siemens Healthineers)
Image: The Magnetom Free.Max wide bore MRI scanner (Photo courtesy of Siemens Healthineers)
A new High-V magnetic resonance imaging (MRI) scanner combines 0.55 T field strength with deep learning technologies and advanced image processing.

The Siemens Healthineers (Erlangen, Germany) Magnetom Free.Max 80 cm MR scanner weighs in at three metric tons, with a height that is slightly less than two meters, allowing it to be installed in most average sized locations, and with minimal structural modifications. In addition, whereas MRI scanners typically require several hundred liters of helium and a quench pipe to cool the magnetic array, it uses less than one liter of helium, and does not require a quench pipe, reducing system lifecycle and infrastructure costs.

Siemens Healthineers has also enlarged the bore size of the Magnetom Free.Max to 80 cm, larger than that of a conventional scanner, allowing full body scans to be completed and making the MRI experience more comfortable for patients. The enlarged bore also considerably improves pulmonary imaging. The system is reinformed by artificial intelligence (AI) workflows in order deliver sharper, higher-resolution images. On example is Deep Resolve, an AI algorithm that uses neural networks to generate high-resolution images from a lower input signal.

Siemens Healthineers also introduced the myExam Companion AI-based user guidance system which enables routine examinations to be automated, eliminating repetitive tasks and allowing novices to obtain consistent and excellent image quality with each examination. And despite the high degree of automation, more experienced users can still fully configure Magnetom Free.Max for most complex scanning requirements. The Magnetom Free.Max is also fully connected for continuous and remote monitoring, shortening exam intervals and helping to quickly transmit system diagnosis.

“Siemens Healthineers is proud to offer the Magnetom Free.Max, which brings magnetic resonance to new clinical fields with innovative digital technology, new siting features, and image quality that was once realized only at higher field strengths,” said Jane Kilkenny, vice president of MRI at Siemens Healthineers North America. “The scanner’s comparatively low weight and size can open the door to MR utilization in orthopedic centers, emergency rooms, outpatient centers, and even intensive care units.”


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Ultrasound System
P20 Elite
Under Table Shield
3 Section Double Pivot Under Table Shield
Oncology Information System
RayCare

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.