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SU‐G‐IeP2‐15: Virtual Insertion of Digital Kidney Stones Into Dual‐Source, Dual‐ Energy CT Projection Data
Author(s) -
Ferrero A,
Chen B,
Huang A,
Montoya J,
Yu L,
McCollough C
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 - 10.1118/1.4957020
Subject(s) - imaging phantom , scanner , nuclear medicine , attenuation , projection (relational algebra) , kidney stones , hounsfield scale , computer science , medicine , computed tomography , physics , artificial intelligence , radiology , optics , algorithm , surgery
Purpose: In order to investigate novel methods to more accurately estimate the mineral composition of kidney stones using dual energy CT, it is desirable to be able to combine digital stones of known composition with actual phantom and patient scan data. In this work, we developed and validated a method to insert digital kidney stones into projection data acquired on a dual‐source, dual‐energy CT system. Methods: Attenuation properties of stones of different mineral composition were computed using tabulated mass attenuation coefficients, the chemical formula for each stone type, and the effective beam energy at each evaluated tube potential. A previously developed method to insert lesions into x‐ray CT projection data was extended to include simultaneous dual‐energy CT projections acquired on a dual‐source gantry (Siemens Somatom Flash). Digital stones were forward projected onto both detectors and the resulting projections added to the physically acquired sinogram data. To validate the accuracy of the technique, digital stones were inserted into different locations in the ACR CT accreditation phantom; low and high contrast resolution, CT number accuracy and noise properties were compared before and after stone insertion. The procedure was repeated for two dual‐energy tube potential pairs in clinical use on the scanner, 80/Sn140 kV and 100/Sn140 kV, respectively. Results: The images reconstructed after the insertion of digital kidney stones were consistent with the images reconstructed from the scanner. The largest average CT number difference for the 4 insert in the CT number accuracy module of the phantom was 3 HU. Conclusion: A framework was developed and validated for the creation of digital kidney stones of known mineral composition, and their projection‐domain insertion into commercial dual‐source, dual‐energy CT projection data. This will allow a systematic investigation of the impact of scan and reconstruction parameters on stone attenuation and dual‐energy behavior under rigorously controlled conditions. Dr. McCollough receives research support from Siemens Healthcare