Dual-source photon counting detector CT with a tin filter: a phantom study on iodine quantification performance

Ashley Tao, Richard Huang, Shengzhen Tao, Gregory J. Michalak, Cynthia H McCollough, Shuai Leng

Research output: Contribution to journalArticle

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Abstract

Photon counting detectors (PCD) can provide spectral information to enable iodine quantification through multi-energy imaging but performance is limited by current PCD technology. The purpose of this work is to evaluate iodine quantification in a phantom study using dual-source PCD-CT (DS-PCD-CT), and compare to single-source (SS)-PCD-CT and traditional DS energy integrating detector (EID)-based dual-energy CT. A multi-energy CT phantom with iodine inserts (0 to 15 mg ml-1 concentration) was imaged on a research SS-PCD-CT scanner (CTDIvol  =  18 mGy). A DS-PCD-CT was emulated by acquiring two sequential scans (CTDIvol  =  9 mGy each) using tube potentials: 140 kVp/80 kVp, 140 kVp/100 kVp and 140 kVp/120 kVp. For each kVp, 1 or 2 energy bins were reconstructed to achieve either dual-energy or quadruple energy CT. In addition to these energy combinations, a Sn filter was used for the high tube potential (140 kVp) of each kVp pair. For comparison, the same phantom was also scanned on a commercially available DS-EID-CT with matched radiation dose (CTDIvol  =  18 mGy). Material decomposition was performed in image space using a standard least-squares based approach to generate iodine and water-specific images. The root-mean-square-error (RMSE) measured over each insert from the iodine image was used to determine iodine accuracy. The iodine RMSE from SS-PCD (140 kVp with 2 energy bins) was 2.72 mg ml-1. The use of a DS configuration with 1 energy bin per kVp (140 kVp/80 kVp) resulted in a RMSE of 2.29 mg ml-1. Two energy bins per kVp further reduced iodine RMSE to 1.83 mg ml-1. The addition of a Sn filter to the latter quadruple energy mode reduced RMSE to 1.48 mg ml-1. RMSE for DS-PCD-CT (2 energy bins per kVp) decreased by 1.3% (Sn140 kVp/80 kVp) and 15% (Sn140 kVp/100 kVp) as compared to DS-EID-CT. DS-PCD-CT with a Sn filter improved iodine quantification as compared to both SS-PCD-CT and DS-EID-CT.

Original languageEnglish (US)
Number of pages1
JournalPhysics in medicine and biology
Volume64
Issue number11
DOIs
StatePublished - May 31 2019

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Tin
Photons
Iodine
Research Design
Least-Squares Analysis
Radiation
Technology
Water

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

Cite this

Dual-source photon counting detector CT with a tin filter : a phantom study on iodine quantification performance. / Tao, Ashley; Huang, Richard; Tao, Shengzhen; Michalak, Gregory J.; McCollough, Cynthia H; Leng, Shuai.

In: Physics in medicine and biology, Vol. 64, No. 11, 31.05.2019.

Research output: Contribution to journalArticle

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abstract = "Photon counting detectors (PCD) can provide spectral information to enable iodine quantification through multi-energy imaging but performance is limited by current PCD technology. The purpose of this work is to evaluate iodine quantification in a phantom study using dual-source PCD-CT (DS-PCD-CT), and compare to single-source (SS)-PCD-CT and traditional DS energy integrating detector (EID)-based dual-energy CT. A multi-energy CT phantom with iodine inserts (0 to 15 mg ml-1 concentration) was imaged on a research SS-PCD-CT scanner (CTDIvol  =  18 mGy). A DS-PCD-CT was emulated by acquiring two sequential scans (CTDIvol  =  9 mGy each) using tube potentials: 140 kVp/80 kVp, 140 kVp/100 kVp and 140 kVp/120 kVp. For each kVp, 1 or 2 energy bins were reconstructed to achieve either dual-energy or quadruple energy CT. In addition to these energy combinations, a Sn filter was used for the high tube potential (140 kVp) of each kVp pair. For comparison, the same phantom was also scanned on a commercially available DS-EID-CT with matched radiation dose (CTDIvol  =  18 mGy). Material decomposition was performed in image space using a standard least-squares based approach to generate iodine and water-specific images. The root-mean-square-error (RMSE) measured over each insert from the iodine image was used to determine iodine accuracy. The iodine RMSE from SS-PCD (140 kVp with 2 energy bins) was 2.72 mg ml-1. The use of a DS configuration with 1 energy bin per kVp (140 kVp/80 kVp) resulted in a RMSE of 2.29 mg ml-1. Two energy bins per kVp further reduced iodine RMSE to 1.83 mg ml-1. The addition of a Sn filter to the latter quadruple energy mode reduced RMSE to 1.48 mg ml-1. RMSE for DS-PCD-CT (2 energy bins per kVp) decreased by 1.3{\%} (Sn140 kVp/80 kVp) and 15{\%} (Sn140 kVp/100 kVp) as compared to DS-EID-CT. DS-PCD-CT with a Sn filter improved iodine quantification as compared to both SS-PCD-CT and DS-EID-CT.",
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N2 - Photon counting detectors (PCD) can provide spectral information to enable iodine quantification through multi-energy imaging but performance is limited by current PCD technology. The purpose of this work is to evaluate iodine quantification in a phantom study using dual-source PCD-CT (DS-PCD-CT), and compare to single-source (SS)-PCD-CT and traditional DS energy integrating detector (EID)-based dual-energy CT. A multi-energy CT phantom with iodine inserts (0 to 15 mg ml-1 concentration) was imaged on a research SS-PCD-CT scanner (CTDIvol  =  18 mGy). A DS-PCD-CT was emulated by acquiring two sequential scans (CTDIvol  =  9 mGy each) using tube potentials: 140 kVp/80 kVp, 140 kVp/100 kVp and 140 kVp/120 kVp. For each kVp, 1 or 2 energy bins were reconstructed to achieve either dual-energy or quadruple energy CT. In addition to these energy combinations, a Sn filter was used for the high tube potential (140 kVp) of each kVp pair. For comparison, the same phantom was also scanned on a commercially available DS-EID-CT with matched radiation dose (CTDIvol  =  18 mGy). Material decomposition was performed in image space using a standard least-squares based approach to generate iodine and water-specific images. The root-mean-square-error (RMSE) measured over each insert from the iodine image was used to determine iodine accuracy. The iodine RMSE from SS-PCD (140 kVp with 2 energy bins) was 2.72 mg ml-1. The use of a DS configuration with 1 energy bin per kVp (140 kVp/80 kVp) resulted in a RMSE of 2.29 mg ml-1. Two energy bins per kVp further reduced iodine RMSE to 1.83 mg ml-1. The addition of a Sn filter to the latter quadruple energy mode reduced RMSE to 1.48 mg ml-1. RMSE for DS-PCD-CT (2 energy bins per kVp) decreased by 1.3% (Sn140 kVp/80 kVp) and 15% (Sn140 kVp/100 kVp) as compared to DS-EID-CT. DS-PCD-CT with a Sn filter improved iodine quantification as compared to both SS-PCD-CT and DS-EID-CT.

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