Evidence map›Paper›PMID 42253218›Full record

ArticleMedical physics2026

A coincidence-based response matrix for correction of charge sharing spectral distortions in photon counting detectors.

Vincenzo Monaco, Luca Brombal, Pasquale Delogu, Alessandro Feruglio, Massimiliano Fiorini, Renata Longo, Luca Marchetti, Anna Maria Poli, Luigi Rigon, Valeria Rosso

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Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Vincenzo MonacoDipartimento di Fisica, Università degli Studi di Torino, Torino, Italy.
Luca BrombalDipartimento di Fisica, Università degli Studi di Trieste, Trieste, Italy.
Pasquale DeloguDipartimento di Fisica, Università di Pisa, Pisa, Italy.
Alessandro FeruglioDipartimento di Fisica, Università di Pisa, Pisa, Italy.
Massimiliano FioriniDipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Ferrara, Italy.
Renata LongoDipartimento di Fisica, Università degli Studi di Trieste, Trieste, Italy.
Luca MarchettiTechnical University of Munich, Chair of Biomedical Physics, Garching, Germany.
Anna Maria PoliDipartimento di Fisica, Università degli Studi di Torino, Torino, Italy.
Luigi RigonDipartimento di Fisica, Università degli Studi di Trieste, Trieste, Italy.
Valeria RossoDipartimento di Fisica, Università di Pisa, Pisa, Italy.

Funding

INFN
6 · The paper itself

Abstract

backgroundCharge sharing between pixels distorts the count and spectral information of X-ray photon counting detectors. Compensation methods for charge sharing effects are required to exploit the full potentiality of these detectors in medical diagnosis. PURPOSE: A statistical method is proposed to correct charge sharing effects in a pixellated photon counting detector by applying a spectral response matrix determined with a coincidence-based acquisition.

methodsThe technique is based on a preliminary calibration with a uniform irradiation and an arbitrary polychromatic spectrum, during which the number of coincidences between a pixel and its eight neighbours are collected for different combinations of energy bins. A coincidence-based response matrix (CBRM) is determined and afterwards applied to correct other spectra acquired with the same detector and conventional multi-comparator electronics. The technique was validated with Geant4 Monte Carlo simulations of a 1 mm thick CdTe detector and with data collected with a pixel hybrid detector consisting of a 300

resultsThe response matrix restores the spectral information with a performance comparable to analog charge summing (ACS) algorithms. For example, for a simulation of a spectrum from a 120 kV X-ray tube attenuated by a solution of water and iodine and a CdTe detector with a pixel size of 200 µm, the mean absolute percentage errors (MAPE) from the comparison of the corrections with an ideal spectrum are 20.0% for the CBRM method and 22.8% for ACS. The ACS method is more sensitive to electronic noise than the CBRM correction, thus requiring a higher noise discrimination threshold. For experimental acquisitions of monochromatic spectra with the silicon sensor, the mean values and standard deviations of Gaussian fits of the restored energy peaks provide results close to those from a clustering algorithm based on 3

conclusionsThe proposed method allows the experimental determination of a response matrix which is independent of physics models or parameterizations and is realizable with a simple coincidence electronic circuit involving a limited number of pixels in a calibration stage. With respect to ACS techniques, the application of the response matrix requires only the number of counts collected with existing readout systems with multiple comparators, without introducing additional dead-times during the acquisition.

Indexed as

PhotonsAlgorithmsCalibrationMonte Carlo MethodX-Rayscharge sharing correctionsphoton countingX‐ray spectral imaging

Identifiers

PMID42253218
PMCPMC13244441

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