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Journal of Applied Clinical Medical Physics Publication
Automated phantom analysis for gamma cameras and SPECT: A methodology for use in a clinical setting

Research using QC-Track for automated phantom analysis in nuclear medicine QC has been published in the Journal of Applied Clinical Medical Physics.

This research demonstrated that QC-Track’s Automated Phantom Analysis module can be used to quantitatively analyze image quality and resolution of gamma cameras as part of an institution’s routine QC process.

View a narrated summary here.
Journal of Applied Clinical Medical Physics Publication
Signal and contrast to noise ratio evaluation of fluoroscopic loops for interventional fluoroscope quality control

Research on automated fluoroscopy QC using QC-Track in an IR lab has been published in the October issue of the Journal of Applied Clinical Medical Physics.

The paper’s first author is Allen Goode, M.S., Chief Diagnostic Medical Physicist, University of Virginia Health System. Carl Snyder, PhD, Senior Engineer at Atirix, and Angela Snyder, PhD, Atirix VP of Research, are listed as second and third authors, respectively. The research effort was led by Goode and included his team at the University of Virginia Health System in collaboration with the research team at Atirix Medical Systems.
AAPM 61 st Annual Meeting Oral Presentation
Automated Phantom Analysis for Gamma Cameras – An Efficient, Accessible, Consistent, and Sensitive Method for Quality Control

Research using QC-Track for automated phantom analysis in nuclear medicine QC was presented by Erik Tazegul, Atirix Research Analyst, as a talk at the 2019 AAPM Annual Meeting. ( View the narrated presentation here. ) The abstract describes a robust automated quantitative image analysis package for efficiently assessing gamma camera image quality in a busy clinical setting.

The research was a collaborative effort between the Atirix Medical Systems and University of Virginia Health System research teams.
AAPM 60 th Annual Meeting ePoster
Use of Signal to Noise Ratio for Daily Quality Control of Fluoroscopes Used for Interventional Radiology Procedures

Research on automated fluoroscopy QC using QC-Track in an IR lab was presented by Allen Goode, M.S., Chief Diagnostic Medical Physicist, University of Virginia Health System, as an ePoster at the 2018 AAPM Annual Meeting.

The research effort was led by Allen Goode, M.S., and included his team at the University of Virginia Health System in collaboration with the research team at Atirix Medical Systems.
ACR MRI QC Highlight at AAPM 2018
ACR acknowledges SNR as alternative to spoke counting for MRI QC

The American College of Radiology (ACR) MRI accreditation program has officially acknowledged signal-to-noise ratio (SNR) as an alternative measurement to low contrast detectability for weekly MRI quality control.

Angela Snyder, PhD, VP of Advanced Solutions for Atirix Medical Systems advocated for the alternative quality measure.

SNR and MRI image quality:
  • Offers greater sensitivity to subtle performance changes
  • Evaluates image quality across a broader range than spoke counting, especially important for 3T units
  • Provides a quantitative measure of image quality, eliminating subjectivity

The ACR’s statement on using SNR in place of low contrast detectability can be found in the Annual Medical Physicist/MR Scientist Survey section of the ACR’s Accreditation Support Quality Control: MRI/Breast MRI page.
AAPM TG272
Effective September 2016 - Current

Steve Backes, President and CEO of Atirix, is a consulting member of AAPM Task Group No. 272 - Comprehensive Acceptance Testing and Evaluation of Fluoroscopy Imaging Systems.

Atirix is using QC-Track to support the research efforts of the TG272 Quality Control subcommittee.
  Atirix products are covered by issued and pending patents, including US 8,478,610 “Medical Imaging Device Quality Control System and Method” and US 8,428,969 “System and Method for Tracking Imaging Quality”
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