Evidence map›Paper›PMID 36287811›Full record

ArticleTomography (Ann Arbor, Mich.)2022

Online Geometric Calibration of a Hybrid CT System for Ultrahigh-Resolution Imaging.

Dakota H King, Muyang Wang, Eric E Bennett, Dumitru Mazilu, Marcus Y Chen, Han Wen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Dakota H KingBiochemistry and Biophysics Center, Laboratory of Imaging Physics, National Heart, Lung and Blood Institute, Division of Intramural Research, National Institutes of Health, Bethesda, MD 20892, USA.
Muyang WangBiochemistry and Biophysics Center, Laboratory of Imaging Physics, National Heart, Lung and Blood Institute, Division of Intramural Research, National Institutes of Health, Bethesda, MD 20892, USA.
Eric E BennettBiochemistry and Biophysics Center, Laboratory of Imaging Physics, National Heart, Lung and Blood Institute, Division of Intramural Research, National Institutes of Health, Bethesda, MD 20892, USA.
Dumitru MaziluBiochemistry and Biophysics Center, Laboratory of Imaging Physics, National Heart, Lung and Blood Institute, Division of Intramural Research, National Institutes of Health, Bethesda, MD 20892, USA.
Marcus Y ChenCardiovascular CT, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Han WenBiochemistry and Biophysics Center, Laboratory of Imaging Physics, National Heart, Lung and Blood Institute, Division of Intramural Research, National Institutes of Health, Bethesda, MD 20892, USA.
National Institutes of Health · USNational Heart Lung and Blood Institute · US

Funding

Intramural NIH HHS HL006141-12
6 · The paper itself

Abstract

A hybrid imaging system consisting of a standard computed tomography (CT) scanner and a low-profile photon-counting detector insert in contact with the patient's body has been used to produce ultrahigh-resolution images in a limited volume in chest scans of patients. The detector insert is placed on the patient bed as needed and not attached. Thus, its position and orientation in the scanner is dependent on the patient's position and scan settings. To allow accurate image reconstruction, we devised a method of determining the relative geometry of the detector insert and the CT scanner for each scan using fiducial markers. This method uses an iterative registration algorithm to align the markers in the reconstructed volume from the detector insert to that of the concurrent CT scan. After obtaining precise geometric information of the detector insert relative to the CT scanner, the two complementary sets of images are summed together to create a detailed image with reduced artifacts.

Indexed as

Image Processing, Computer-AssistedTomography, X-Ray ComputedCalibrationHumansPhantoms, ImagingTomography Scanners, X-Ray ComputedCTgeometric calibrationhybrid CTimage-based calibrationphoton-counting detectorsurface detectortomosynthesisultrahigh resolution

Identifiers

PMID36287811
PMCPMC9610615
OpenAlexW4304689634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.