About QAF
What is QAF?
QAF (Quality Assessment Framework) is a comprehensive web-based platform for advanced photon counting CT image quality evaluation. This advanced tool provides researchers and medical professionals with powerful capabilities for analyzing DICOM images and extracting meaningful metrics.
The platform supports various image quality assessment methods including SNR, NPS, MTF analysis, and material identification for spectral CT imaging research.
Contact & Support
qafxrilab@gmail.com
qaf.xri-lab.com
Project Team
Principal Investigator
Dr. Aamir Younis Raja, Assistant Professor
Department of Physics, Khalifa University
Department of Physics, Khalifa University
Research Scientist
Briya Tariq
PhD Student, Department of Physics, Khalifa University
PhD Student, Department of Physics, Khalifa University
Web Programmers
Briya Tariq - PhD Student, Khalifa University, UAE
Shaheer Tariq - Software Engineer
Shaheer Tariq - Software Engineer
Related Papers
Assessment of material identification and quantification in the presence of metals using spectral photon counting CT
https://doi.org/10.1371/journal.pone.0308658
Development of Residual Dense U-Net (RDU-Net)-Based Metal Artefacts Reduction Technique Using Spectral Photon Counting CT
https://doi.org/10.1109/ACCESS.2024.3439861