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Assessment of three dead detector correction methods for cone‐beam computed tomography
Author(s) -
Nelms David W.,
Shukla Hemant I.,
Nixon Earl,
Bayouth John E.,
Flynn Ryan T.
Publication year - 2009
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 - 10.1118/1.3222730
Subject(s) - imaging phantom , detector , linear particle accelerator , cone beam computed tomography , nuclear medicine , linear interpolation , flat panel detector , interpolation (computer graphics) , optics , physics , optical transfer function , iterative reconstruction , beam (structure) , materials science , mathematics , computer science , computed tomography , artificial intelligence , medicine , image (mathematics) , radiology , pattern recognition (psychology)
Purpose: Dead detectors due to manufacturing defects or radiation damage in the electronic portal imaging devices (EPIDs) used for cone‐beam computed tomography (CBCT) can lead to image degradation and ring artifacts. In this work three dead detector correction methods were assessed using megavoltage CBCT (MVCBCT) as a test system, with the goals of assessing the relative effectiveness of the three methods and establishing the conditions for which they fail. Methods: MVCBCT projections acquired with four linacs at 8 and 60 MU (monitor units) were degraded with varying percentages (2%–95%) of randomly distributed dead single detectors (RDSs), randomly distributed dead detector clusters (RDCs) of 2 mm diameter, and nonrandomly distributed dead detector disks (NRDDs) of varying diameter (4–16 mm). Correction algorithms were bidirectional linear interpolation (BLI), quad‐directional linear interpolation (QLI), and a Laplacian solution (LS) method. Correction method failure was defined to occur if ring artifacts were present in the reconstructed phantom images from any linac or if the modulation transfer function (MTF) for any linac dropped below baseline with a p value, calculated with the two sample t test, of less than 0.01. Results: All correction methods failed at the same or lower RDC/RDS percentages and NRDD diameters for the 60 MU as for the 8 MU cases. The LS method tended to outperform or match the BLI and QLI methods. If ring artifacts anywhere in the images were considered unacceptable, the LS method failed for 60 MU at > 33 % RDS, > 2 % RDC, and > 4 mm NRDD. If ring artifacts within 4 mm longitudinally of the phantom section interfaces were considered acceptable, the LS method failed for 60 MU at > 90 % RDS, > 80 % RDC, and > 4 mm NRDD. LS failed due to MTF drop for 60 MU at > 50 % RDS, > 25 % RDC, and > 4 mm NRDD. Conclusions: The LS method is superior to the BLI and QLI methods, and correction algorithm effectiveness decreases as imaging dose increases. All correction methods failed first due to ring artifacts and second due to MTF drop. If ring artifacts in axial slices within a 4 mm longitudinal distance from phantom section interfaces are acceptable, statistically significant loss in spatial resolution does not occur until over 25% of the EPID is covered in randomly distributed dead detectors, or NRDDs of 4 mm diameter are present.