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Optimization of a calibration phantom for quantitative radiography
Author(s) -
Martinez Cristobal,
Molina Claudia,
Desco Manuel,
Abella Monica
Publication year - 2021
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 - 10.1002/mp.14638
Subject(s) - imaging phantom , calibration , radiography , digital radiography , soft tissue , subtraction , computer science , computed radiography , biomedical engineering , nuclear medicine , radiology , artificial intelligence , medicine , mathematics , image quality , statistics , arithmetic , image (mathematics)
Objective Dual energy radiography (DER) makes it possible to obtain separate images for soft‐tissue and bony structures (tissue maps) based on the acquisition of two radiographs at different source peak‐kilovoltage values. Current DER studies are based on the weighted subtraction method, which requires either manual tuning or the use of precomputed tables, or on decomposition methods, which make use of a calibration to model soft‐tissue and bone components. In this study, we examined in depth the optimum method to perform this calibration. Methods We used simulations to optimize the calibration protocol and evaluated the effect of the material and size of a calibration phantom composed of two wedges and its positioning in the system. Evaluated materials were water, PMMA and A‐150 as soft‐tissue equivalent, and Teflon, B‐100 and aluminum as bone equivalent, with sizes from 5 to 30 cm. Each material combination was compared with an ideal phantom composed of soft tissue and bone. Our simulation results enabled us to propose four designs that were tested with the NOVA FA X‐ray system with a realistic thorax phantom. Results Calibration based on a very simple and inexpensive phantom with no strict requirements in its placement results in appropriate separation of the spine (a common focus in densitometry studies) and the identification of nodules as small as 6 mm, which have been reported to have a low rate of detection in radiography. Conclusion The proposed method is completely automatic, avoiding the need for a radiology technician with expert knowledge of the protocol, as is the case in densitometry exams. The method provides real mass thickness values, enabling quantitative planar studies instead of relative comparisons.