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17 October 2022 Co-clinical photon counting CT research for multi-contrast imaging
C. T. Badea, D. P. Clark, A. Alphin, J. C. Ramirez-Giraldo, P. Bhandari, Y. M. Mowery, K. B. Ghaghada
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Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 123040G (2022) https://doi.org/10.1117/12.2646399
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States
Abstract
Developing novel contrast agents for multi-energy photon-counting (PC)CT will require a clear translation pathway from preclinical validation to clinical applications. To begin this development, we have used a clinical PCCT scanner (Siemens NAEOTOM Alpha) to study the spectral separation of a few contrast elements (Iodine, I; Gadolinium, Gd; Hafnium, Hf; Tantalum, Ta; Bismuth, Bi; Calcium, Ca) with currently available scanning protocols (fixed: 120 kVp, 20 and 65 keV thresholds). We also explored the capabilities of clinical and preclinical PCCT to image mice with sarcoma tumors injected with nanoparticles (NP). Our results indicate that Ta or Hf are complementary to I or Gd, providing excellent spectral separation for future multi-agent studies. Based on preclinical PCCT with four energy thresholds, we also conclude that additional energy thresholds will benefit clinical PCCT. Furthermore, we demonstrate the role that multi-channel denoising and reconstruction algorithms will play in pushing the bounds of spatial and spectral resolution with clinical PCCT. Performing co-clinical research will facilitate the translation of novel imaging algorithms and NP contrast agents for PCCT
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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C. T. Badea, D. P. Clark, A. Alphin, J. C. Ramirez-Giraldo, P. Bhandari, Y. M. Mowery, and K. B. Ghaghada "Co-clinical photon counting CT research for multi-contrast imaging", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 123040G (17 October 2022); https://doi.org/10.1117/12.2646399
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KEYWORDS
Gadolinium
Tantalum
Tumors
Calcium
Denoising
Computed tomography
Condition numbers
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