Evidence map›Paper›PMID 41058450›Full record

ArticleMedical physics2025

Three-dimensional noise characteristics of clinical photon counting detector CT.

Humberto Monsivais, Xinming Liu, Frank Dong, Megan C Jacobsen, John Rong, Corey T Jensen, 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 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

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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

7 authors.

Humberto MonsivaisDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Xinming LiuDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Frank DongDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Megan C JacobsenDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
John RongDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Corey T JensenDepartment of Abdominal Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Ke LiDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the introduction of whole-body photon-counting detector CT (PCD-CT) into clinical practice, extensive physics assessments have been conducted to elucidate its image quality advantages over energy-integrating detector CT (EID-CT) and to support its clinical adoption. However, evaluations of its three-dimensional (3D) noise power spectrum (NPS), which simultaneously quantifies in-plane and through-plane noise texture and magnitude, remain limited. PURPOSE: To experimentally evaluate the 3D NPS of an NAEOTOM Alpha PCD-CT system and its dependence on scan mode, reconstruction image type, quantum iterative reconstruction (QIR) strength, mono-energy (keV) level, spiral pitch, and radiation dose.

methodsRepeated scans of a 20 cm water phantom and a 30 cm PMMA phantom were conducted under the clinical Standard mode, clinical Ultra-High-Resolution (UHR) mode, and an Expert Service mode. Reconstructed image types include T3D, virtual monoenergetic image (VMI), and T1 (a linear reconstruction of total-energy bin available via the Expert Service mode). Data were collected at seven dose levels (0.4-24 mGy) and four spiral pitch levels (0.35-1.5). T3D and VMI images were reconstructed with varying QIR strengths, and VMIs were reconstructed at energies ranging from 40 to 190 keV. The 3D NPS,

results

conclusionThe 3D NPS provides new insight into the noise characteristics of PCD-CT: Noise in the native PCD-CT projection data is uncorrelated across detector rows, but clinical reconstruction processes introduce noise spatial correlation along both axial and z directions, particularly at higher QIR strengths, lower radiation doses, or with larger image objects that increase the percentage of scattered photons. Compared to the Standard mode, UHR mode reconstruction exhibits stronger noise correlation due to its superior detector spatial resolution, allowing for more aggressive spatial smoothing to achieve the desired spatial resolution in the final image.

Indexed as

Imaging, Three-DimensionalPhotonsSignal-To-Noise RatioTomography, X-Ray ComputedHumansPhantoms, ImagingRadiation DosageCT image qualitynoise power spectrumphoton counting detector CT

Identifiers

PMID41058450
PMCPMC12505027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.