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SU‐G‐BRA‐06: Quantification of Tracking Performance of a Multi‐Layer Electronic Portal Imaging Device
Author(s) -
Hu Y,
Rottmann J,
Myronakis M,
Berbeco R
Publication year - 2016
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4956930
Subject(s) - fiducial marker , artificial intelligence , computer science , detector , optical transfer function , medical imaging , computer vision , physics , optics
Purpose: The purpose of this study was to quantify the improvement in tumor tracking, with and without fiducial markers, afforded by employing a multi‐layer (MLI) electronic portal imaging device (EPID) over the current state‐of‐the‐art, single‐layer, digital megavolt imager (DMI) architecture. Methods: An ideal observer signal‐to‐noise ratio (d’) approach was used to quantify the ability of an MLI EPID and a current, state‐of‐the‐art DMI EPID to track lung tumors from the treatment beam's‐eye‐view. Using each detector modulation transfer function (MTF) and noise power spectrum (NPS) as inputs, a detection task was employed with object functions describing simple three‐dimensional Cartesian shapes (spheres and cylinders). Marker‐less tumor tracking algorithms often use texture discrimination to differentiate benign and malignant tissue. The performance of such algorithms is simulated by employing a discrimination task for the ideal observer, which measures the ability of a system to differentiate two image quantities. These were defined as the measured textures for benign and malignant lung tissue. Results: The NNPS of the MLI ∼25% of that of the DMI at the expense of decreased MTF at intermediate frequencies (0.25≤