Evidence map›Paper›PMID 39971720›Full record

ArticleMedical physics2025

Quantifying photon counting detector (PCD) performance using PCD-CT images.

Linying Zhan, Guang-Hong Chen, Ke Li

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Linying ZhanDepartment of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Guang-Hong ChenDepartment of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ke LiDepartment of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Funding

Next Generation Cone Beam CT with Improved Contrast Resolution and Added Spectral Imaging FunctionalityR01EB034011 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI Guang-Hong Chen · 2023 to 2026
$2.3M
NIBIB NIH HHS R01 EB034011NIBIB NIH HHS R01EB034011Wisconsin Alumni Research Foundation
6 · The paper itself

Abstract

backgroundPhoton counting detector CTs (PCD-CTs) have recently been introduced to clinical imaging. This development creates a new need for end-users to quantify and monitor the physical performance of PCDs. Traditionally, the characterization of PCD performance relied on detector counts, which are typically accessible to the manufacturer but are not usually available to clinical end-users. PURPOSE: The goal of this work was to develop a new method for quantifying PCD performance using reconstructed PCD-CT images, without requiring access to the PCD counts.

methodsThe proposed method is based on a set of closed-form relationships that connect PCD-CT image noise, the PCD deadtime (

resultsFor the simulated curved-detector PCD-CT, the estimation errors for

conclusionsBy analyzing the variance and NPS of PCD-CT images,

Indexed as

Image Processing, Computer-AssistedPhotonsTomography, X-Ray ComputedPhantoms, ImagingCT image qualityphoton counting detectorphoton counting detector CT

Identifiers

PMID39971720
PMCPMC12064383

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.