New Generation of 3-D Ultrasound and Mammography Image Processing Software Announced
By MedImaging International staff writers Posted on 09 Dec 2014 |
A new range of 3-D Ultrasound volume processing and image rendering software products has been developed that can create photo-like images for early diagnosis of fetal abnormalities.
The software can generate Multiplanar Reconstruction (MPR) and rendering views, and fetal skeleton visualizations showing physical defects and bone mineralization. This is the first real-time volumetric image processing software for 3D and 4D ultrasound images and guarantees good image quality throughout the volume using intelligent near- and far-field progressing.
The REALiCE ultrasound visualization software that works together with the GOPiCE 2.0 real-time 3D/4D ultrasound volumetric image processing software, and the new GOPView Mammo3 mammography image processing software was developed by ContextVision (Stockholm, Sweden). ContextVision announced the new software at RSNA 2014.
According to Dr. Anders Selbing, of Karolinska University Hospital, "REALiCE provides superior visualization of subtle brain defects and other fetal anomalies. Standard fetus measurements, such as fetal abdominal diameter, abdominal circumference and femur length, become more accurate due to clearer imaging".
The GOPView Mammo3 software is intended not only for digital diagnosis but also for screening, and can be used with all mammography systems. The software preferences can be customized, and can be used to optimize images for various breast densities.
Related Links:
ContextVision
The software can generate Multiplanar Reconstruction (MPR) and rendering views, and fetal skeleton visualizations showing physical defects and bone mineralization. This is the first real-time volumetric image processing software for 3D and 4D ultrasound images and guarantees good image quality throughout the volume using intelligent near- and far-field progressing.
The REALiCE ultrasound visualization software that works together with the GOPiCE 2.0 real-time 3D/4D ultrasound volumetric image processing software, and the new GOPView Mammo3 mammography image processing software was developed by ContextVision (Stockholm, Sweden). ContextVision announced the new software at RSNA 2014.
According to Dr. Anders Selbing, of Karolinska University Hospital, "REALiCE provides superior visualization of subtle brain defects and other fetal anomalies. Standard fetus measurements, such as fetal abdominal diameter, abdominal circumference and femur length, become more accurate due to clearer imaging".
The GOPView Mammo3 software is intended not only for digital diagnosis but also for screening, and can be used with all mammography systems. The software preferences can be customized, and can be used to optimize images for various breast densities.
Related Links:
ContextVision
Latest Radiography News
- Novel Breast Imaging System Proves As Effective As Mammography
- AI Assistance Improves Breast-Cancer Screening by Reducing False Positives
- AI Could Boost Clinical Adoption of Chest DDR
- 3D Mammography Almost Halves Breast Cancer Incidence between Two Screening Tests
- AI Model Predicts 5-Year Breast Cancer Risk from Mammograms
- Deep Learning Framework Detects Fractures in X-Ray Images With 99% Accuracy
- Direct AI-Based Medical X-Ray Imaging System a Paradigm-Shift from Conventional DR and CT
- Chest X-Ray AI Solution Automatically Identifies, Categorizes and Highlights Suspicious Areas
- AI Diagnoses Wrist Fractures As Well As Radiologists
- Annual Mammography Beginning At 40 Cuts Breast Cancer Mortality By 42%
- 3D Human GPS Powered By Light Paves Way for Radiation-Free Minimally-Invasive Surgery
- Novel AI Technology to Revolutionize Cancer Detection in Dense Breasts
- AI Solution Provides Radiologists with 'Second Pair' Of Eyes to Detect Breast Cancers
- AI Helps General Radiologists Achieve Specialist-Level Performance in Interpreting Mammograms
- Novel Imaging Technique Could Transform Breast Cancer Detection
- Computer Program Combines AI and Heat-Imaging Technology for Early Breast Cancer Detection