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




Mammography Workstation Features Dynamic MRI Assessment and High-Speed Volume Rendering

By MedImaging International staff writers
Posted on 08 Aug 2013
Print article
A new mammography workstation provides excellent image loading times, consistent reading, and an intuitive user interface, including the evaluation of dynamic breast magnetic resonance imaging (MRI) studies.

Aycan Medical Systems’ (Rochester, NY, USA) US Food and Drug Administration (FDA)-cleared mammography workstation, powered by aycan OsiriX Pro with its advanced hanging protocol plug-in, is optimized for mammography workflow.

Suitable for mammography workstations, the optional hanging protocols plug-in for aycan OsiriX Pro allows the user to save display layouts and settings in the two-dimensional (2D) Viewer, so when reopening a study (or similar studies), the user will always obtain the same view. This standardization brings greater effectiveness to routine diagnoses. The plug-in additionally automatically opens up earlier studies, which further increases the speed of the daily workflow. With this plug-in, aycan OsiriX Pro can now be used as a mammography workstation in the field of curative treatment and screening.

Key features of the technology include: easy to use; faster workflow with aycan OsiriX Pro; easy to reconfigure; hanging protocol import/export; change layout with just one click or keyboard short cut; image parameters: pre-define zoom, window width/window level (WW/WL), image numbers, screen layout; and group and tile similar studies.

Related Links:

Aycan Medical Systems


New
Gold Member
X-Ray QA Meter
T3 AD Pro
LED-Based X-Ray Viewer
Dixion X-View
New
Portable Color Doppler Ultrasound System
S5000
New
Gold Member
X-Ray QA Meter
T3 RG Pro

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: The scans revealed a new dimension of brain network organization in humans (Photo courtesy of Georgia State University/TReNDS Center Research)

New Approach Identifies Signatures of Chronic Brain Disorders Using fMRI Scans

Traditional studies of brain function, often using fMRI scans to detect brain activity patterns, have shown promise in identifying changes in individuals with chronic brain disorders like schizophrenia.... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.