Ultra-high resolution photon-counting detector CT reconstruction using spectral prior image constrained compressed-sensing (UHR-SPICCS)

Rajendran, Kishore; Tao, Shengzhen; Abdurakhimova, Dilbar; Leng, Shuai; McCollough, Cynthia H.

doi:10.1117/12.2294628

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…Increased radiation dose to the patient to compensate for the higher noise may not be acceptable in all cases. Non-linear data and image denoising techniques will therefore play a key role in harnessing the high-resolution potential of photon-counting detectors, see e. g. ( [51,52,53])…”

Section: Pre-clinical Evaluation Of Photon-counting Ctmentioning

confidence: 99%

Photon-counting CT review

et al. 2020

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Photon-counting detectors are a promising new technology for computed tomography (CT) systems. They provide energy-resolved CT data at very high spatial resolution without electronic noise and with improved tissue contrasts. This review article gives an overview of the principles of photon-counting detector CT, of potential clinical benefits and limitations, and of the experience gained so far in pre-clinical installations.

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Section: Pre-clinical Evaluation Of Photon-counting Ctmentioning

confidence: 99%

Photon-counting CT review

et al. 2020

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“…To combat the noise increases we observed, it is likely that SPE will benefit from a denoising stratagem that takes advantage of the covariance matrix having negative and off diagonal terms and or constraining the SPE result by the lower noise original S measurements [ 12 , 13 ]. Future work should be done to consider these possibilities.…”

Section: Discussionmentioning

confidence: 99%

Sub pixel resolution using spectral-spatial encoding in x-ray imaging

2021

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Purpose Previous efforts at increasing spatial resolution have relied on decreasing focal spot and or detector element size. Many “super resolution” methods require physical movement of a component of the imaging system. This work describes a method for achieving spatial resolution on a scale smaller than the detector pixel without motion of the object or detector. Methods We introduce a weighting of the photon energy spectrum on a length scale smaller than a single pixel using a physical filter that can be placed between the focal spot and the object, between the object and the detector, or integrated into the x-ray source or detector. We refer to the method as sub pixel encoding (SPE). We show that if one acquires multiple measurements (i.e. x-ray projections), information can be synthesized at a spatial scale defined by the spectrum modulation, not the detector element size. Specifically, if one divides a detector pixel into n sub regions, and m photon-matter interactions are present, the number of x-ray measurements needed to solve for the detector response of each sub region is mxn. We discuss realizations of SPE using multiple x-ray spectra with an energy integrating detector, a single spectra with a photon counting detector, and the single photon-matter interaction case. We demonstrate the feasibility of the approach using a simulated energy integrating detector with a detector pitch of 2 mm for 80-140 kV medical and 200-600 kV industrial applications. Phantoms used for both example SPE realization had some features only a 1 mm detector could resolve. We calculate the covariance matrix of SPE output to characterize the and noise propagation and correlation of our test examples. Results The mathematical foundation of SPE is provided, with details worked out for several detector types and energy ranges. Two numerical simulations were provided to demonstrate feasibility. In both the medical and industrial simulations, some phantom features were only observable with the 1 mm and SPE synthesized 2 mm detector, while the 2 mm detector was not able to visualize them. Covariance matrix analysis demonstrated negative diagonal terms for both example cases. Conclusions The concept of encoding object information at a length scale smaller than a single pixel element, and then retrieving that information was introduced. SPE simultaneously allows for an increase in spatial resolution and provides “dual energy” like information about the underlying photon-matter interactions.

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“…With permission from [2] image noise at a given radiation dose level which may not be tolerable in all cases and require increased radiation dose to the patient to compensate for the higher noise. Non-linear data and image denoising techniques will play a key role in harnessing the high-resolution potential of photon-counting detectors in clinical practice (see, e.g., [16,28,41]).…”

Section: Pre-clinical Evaluation Of Photon-counting Ctmentioning

confidence: 99%

Basic principles and clinical potential of photon-counting detector CT

et al. 2020

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Photon-counting detectors are a new technology for future computed tomography (CT) systems, with the potential to overcome major limitations of conventional CT detectors. They provide energy-resolved CT data at very high spatial resolution without electronic noise. This review article gives an overview of the basic principles of photon-counting detector CT, of potential benefits and limitations, and of the clinical experience gained so far in pre-clinical installations.

show abstract

Ultra-high resolution photon-counting detector CT reconstruction using spectral prior image constrained compressed-sensing (UHR-SPICCS)

Cited by 7 publications

References 8 publications

Photon-counting CT review

Photon-counting CT review

Sub pixel resolution using spectral-spatial encoding in x-ray imaging

Basic principles and clinical potential of photon-counting detector CT

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