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.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Konica Minolta Offers AI-Based Cardiac Ultrasound Analysis

By MedImaging International staff writers
Posted on 06 Jul 2019
Print article
Image: A screenshot from the Exa Cardio PACS Platform (Photo courtesy of Konica Minolta Healthcare).
Image: A screenshot from the Exa Cardio PACS Platform (Photo courtesy of Konica Minolta Healthcare).
Konica Minolta Healthcare Americas Inc, (Wayne, NJ, USA), a provider of medical diagnostic imaging and healthcare information technology, has announced a partnership with DiA Imaging Analysis (BE'ER SHEVA, Israel), a provider of artificial intelligence (AI) powered ultrasound analysis solutions. The partnership aims to expand the analysis capabilities of Konica Minolta's Exa Cardio PACS Platform (Cardiovascular Information System) with DiA's cardiac analysis, "LVivo Toolbox."

DiA's LVivo Cardiac Toolbox uses AI-based technology to analyze cardiac ultrasound images automatically and objectively, to reduce the subjectivity of manual or visual analysis methods used today. The LVivo Cardiac Toolbox uses novel pattern recognition, deep-learning and machine-learning algorithms that automatically imitate how the human eye detects borders and motion. DiA's LVivo Cardiac Toolbox is vendor-neutral, supporting DICOM clips of various ultrasound systems.

Konica Minolta's Exa platform provides hospitals and imaging centers with the ability to view DICOM and non-DICOM images and information across departments and facilities, regardless of the original source. Exa also provides a vendor-neutral centralized archive and image exchange. Konica Minolta will offer the LVivo Toolbox as a part of Exa's diagnostic-quality Zero Footprint, Server Side Rendering Universal Viewer for DICOM and non-DICOM images. The integration has been designed according to Exa's user interface to assure efficient workflow and accessibility to all Exa Cardio PACS users.

"With DiA's LVivo Toolbox, Konica Minolta offers clinicians decision support with objective data," said Andrew Horning, Konica Minolta's Cardiology Product Manager. "Through this partnership, we integrate innovative, AI-based cardiac analysis into Exa's already powerful and user-customizable structured reporting system; all available anywhere - from a multi-monitor workstation on a hospital network, to a laptop PC on Wi-Fi. This helps cardiologists make better decisions sooner."

"We are excited to partner with Konica and offer the LVivo Cardiac Toolbox to Exa Cardio PACS users," said Hila Goldman Aslan, DiA's CEO and Co-Founder. "Konica Minolta is a world leader in providing innovative, state-of-the-art healthcare solutions to its customers. With LVivo Toolbox offered as a part of Exa Cardio PACS, Konica's users will be able to get fast, valuable and objective insights into cardiac function analysis. Our mission is to support clinicians with various cardiac analysis experience levels, in their decision-making process and to use our solutions as part of their everyday analysis routine."

Gold Member
Electrode Solution and Skin Prep
Signaspray
Gold Member
Ultrasound System
FUTUS LE
Ultrasonic Diagnostic System
K10
Wireless Flat Panel Detector
ExamVue 10" x 12" Glassless Substrate Wireless

Print article
Radcal

Channels

MRI

view channel
Image: PET/MRI can accurately classify prostate cancer patients (Photo courtesy of 123RF)

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more

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