Anti-correlated noise reduction in triple-energy, photon-counting x-ray angiography

Jesse Tanguay; Kaitlyn Sims; Sarah Aubert

doi:10.1117/12.3005975

1 April 2024 Anti-correlated noise reduction in triple-energy, photon-counting x-ray angiography

Jesse Tanguay, Kaitlyn Sims, Sarah Aubert

Proceedings Volume 12925, Medical Imaging 2024: Physics of Medical Imaging; 129250R (2024) https://doi.org/10.1117/12.3005975
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

Single-exposure, dual-energy x-ray angiography using photon-counting x-ray detectors is a potential alternative to kV-switching dual-energy angiography and digital subtraction angiography (DSA), but is unable to simultaneously suppress anatomic noise from soft tissue and bone. Triple-energy, photon-counting angiography that counts photons in three energy bins during a single x-ray exposure would overcome this limitation but high quantum noise levels compromise image quality. We extended anti-correlated noise reduction (ACNR) for dual-energy angiography to triple-energy photon-counting angiography and evaluated the resulting improvement in iodine signal-difference-to-noise ratio (SDNR). We implemented triple-energy photon-counting imaging of iodine using a cadmium-telluride, photon-counting x-ray detector with analog charge summing for charge-sharing correction. We imaged a phantom consisting of vessel-like structures with diameters of 3mm, 4mm and 5mm embedded in background clutter. The vessels were filled with an iodine solution containing 100mg/ml of iodine. We acquired images at 60kV, 80kV and 100kV using energy thresholds that theoretically maximized SDNR per root entrance air kerma without ACNR. For each tube voltage, we simulated three energy bins by acquiring two separate exposures using two different sets of energy thresholds. The triple-energy images with ACNR had SDNR that was approximately 7.5 times greater than those without. Further increases in ACNR are expected with optimization of tube voltage and energy thresholds in the presence of ACNR. Future work will focus on optimization and frequency-dependent image-quality assessment.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jesse Tanguay, Kaitlyn Sims, and Sarah Aubert "Anti-correlated noise reduction in triple-energy, photon-counting x-ray angiography", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 129250R (1 April 2024); https://doi.org/10.1117/12.3005975

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