January 25, 2010 - Johns Hopkins University School of Medicine found that images post-processed using software designed for images acquired using a low dose of radiation were comparable to unprocessed high-dose images.

In the study researched generated images acquired with up to 50 percent less radiation than normal, 63-125mA as rather than the standard dose 160-200mA, which were then post-processed using special software. They compared these images to unprocessed images acquired using a high-dose of radiation.

Each image was reviewed for five parameters: overall diagnostic acceptability, visibility of large vessels, visibility of small vessels, visibility of spinal structures, and presence of artifacts. In all cases, the low dose images quality exceeded that of the unprocessed high-dose images.

Dr. Eleni Liapi, department of Radiology and Radiological Science, Division of Interventional Radiology, at the Johns Hopkins University School of Medicine presented the study results at RSNA 2009.

Dr. Liapi worked with the team to establish the following study methods. He said, “The use of real-time adaptive filters, like GOPView iRVPlus, in all low-dose angiograms led to significant improvement in diagnostic acceptability. The low-dose images were comparable to those derived with a full dose in terms of the visibility of large and small vessels and spinal structures.”

For more information: www.contextvision.com


Related Content

Feature | Information Technology | By Melinda Taschetta-Millane

The Healthcare Information and Management Systems Society (HIMSS) Global Health Conference and Exhibition brought ...

Time May 01, 2024
arrow
News | FDA

April 30, 2024 — International medical imaging IT and Cybersecurity company Sectra’s digital pathology solution together ...

Time April 30, 2024
arrow
News | Enterprise Imaging

April 25, 2024 — International medical imaging IT and cybersecurity company Sectra has signed two contracts to provide ...

Time April 25, 2024
arrow
News | Artificial Intelligence

April 19, 2024 — Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology ...

Time April 22, 2024
arrow
News | PACS

April 11, 2024 — Mach7 Technologies, a company specializing in innovative medical imaging and data management solutions ...

Time April 11, 2024
arrow
News | Radiation Dose Management

April 11, 2024 — Prelude Corporation (PreludeDx), a leader in precision diagnostics for early-stage breast cancer ...

Time April 11, 2024
arrow
News | Mammography

April 11, 2024 — Volpara Health Technologies Ltd., a global leader in software for the early detection and prevention of ...

Time April 11, 2024
arrow
News | Society of Breast Imaging (SBI)

April 11, 2024 — iCAD, Inc., a global leader in clinically proven AI-powered cancer detection solutions, announced today ...

Time April 11, 2024
arrow
News | Cybersecurity

April 10, 2024 — The American Medical Association (AMA) released informal survey findings (PDF) showing the ongoing ...

Time April 10, 2024
arrow
News | Radiology Business

April 4, 2024 — FUJIFILM Healthcare Americas Corporation, a leading provider of diagnostic and enterprise imaging ...

Time April 04, 2024
arrow
Subscribe Now