Evidence map›Paper›PMID 38703355›Full record

ArticleMedical physics2024

Experimental measurement of local noise power spectrum (NPS) in photon counting detector-CT (PCD-CT) using a single data acquisition.

Chengzhu Zhang, Ke Li, Ran Zhang, Guang-Hong Chen

Abstract read
In one paragraph

Article in Medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

4 authors.

Chengzhu ZhangDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Ke LiDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Ran ZhangDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Guang-Hong ChenDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.

Funding

Functional Lung Imaging Using a Single kV CT AcquisitionR01HL153594 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI CHEN, GUANG-HONG, LI, KE · 2021 to 2024
$3.0M
Clinical Translation of a One-Stop-Shop Imaging Method for Abdominal CTR01EB032374 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI CHEN, GUANG-HONG, LUBNER, MEGHAN GALVIN · 2022 to 2025
$2.4M
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
NHLBI NIH HHS R01 HL153594NHLBI NIH HHS R01HL153594NIBIB NIH HHS R01 EB032374NIBIB NIH HHS R01EB032474NIBIB NIH HHS R01 EB034011NIBIB NIH HHS R01EB034011Wisconsin Alumni Research Foundation (WARF)
6 · The paper itself

Abstract

backgroundAccurate noise power spectra (NPS) measurement in clinical X-ray CT exams is challenging due to the need for repeated scans, which expose patients to high radiation risks. A reliable method for single CT acquisition NPS estimation is thus highly desirable. PURPOSE: To develop a method for estimating local NPS from a single photon counting detector-CT (PCD-CT) acquisition.

methodsA novel nearly statistical bias-free estimator was constructed from the raw counts data of PCD-CT scan to estimate the variance of sinogram projection data. An analytical algorithm is employed to reconstruct point-wise covariance

resultsThe experimental results demonstrate that (1) the proposed method can achieve pointwise/local NPS measurement for a region of interest (ROI) located at any chosen position, accurately characterizing the NPS with spatial structures resulting from image content heterogeneity; (2) the local NPS measured using the proposed method show a higher precision in the measured NPS compared to the conventional measurement method; (3) spatial averaging of the local NPS yields the conventional NPS for a given local ROI.

conclusionA new method was developed to enable local NPS from a single PCD-CT acquisition.

Indexed as

Phantoms, ImagingPhotonsSignal-To-Noise RatioTomography, X-Ray ComputedAlgorithmsHumansImage Processing, Computer-Assistedlocal image qualitynoise power spectrumtask‐specific

Identifiers

PMID38703355
PMCPMC11147724

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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.