NEWS: LinacView Offers Fast and Efficient Logfile Analysis

Nov 28, 2016

(Middleton, WI), November 28th, 2016 – Standard Imaging, Inc., a global leader in radiation quality assurance for cancer treatment, announced the official release of LinacView TM, a new QA software program that provides fast and efficient logfile analysis. LinacView analyzes machine performance for each fraction without impacting the clinic’s work flow.

Requiring no external hardware and featuring an easy five-button software interface, LinacView provides an effortless solution for improving patient safety. "The software is fully customizable and most of the work is done automatically behind the scenes," said President & CEO Ed Neumueller, "Plus, it’s billing compliant."

By using a listener program, logfiles are automatically transferred from the linac to LinacView, where they are quickly analyzed during treatment. This allows the software to alert the physicist as soon as an error occurs, allowing staff to respond before the patient even leaves the couch. LinacView is capable of detecting a wide variety of errors, and analyzes critical beam parameters up to 25 times per second with 0.01 mm accuracy for DynaLogTM files.

This fast and efficient analysis feature makes LinacView a natural pair for Adaptivo, Standard Imaging’s new patient dosimetry software. When used together, the programs provide everything needed for a complete picture of both machine and patient QA during treatment; all with little effort from the user.

"Using LinacView is as easy as loading your RT Plan and delivering beams," continued Neumueller. The software also provides Summary RT Plans and convenient PDF reports.

Standard Imaging is a leading manufacturer of radiation calibration and quality assurance instruments for healthcare. The company was founded in 1989, and has become a leader in the medical physics field. Standard Imaging is committed to the fight against cancer by offering a suite of products aimed at supporting radiation therapy for cancer treatment.

Presented at the 2017 American Society for Radiation Oncology Annual Meeting.