Evidence map›Paper›PMID 31315093›Full record

ArticlePhysics in medicine and biology2019

Impacts of photon counting CT to maximum intensity projection (MIP) images of cerebral CT angiography: theoretical and experimental studies.

Evan Cary Harvey, Mang Feng, Xu Ji, Ran Zhang, Yinsheng Li, Guang-Hong Chen, Ke Li

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Enhanced acrylic gauge with five eccentric circles for optimizing CT angiography spatial resolution via Taguchi's methodology.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Photon Counting CT: Clinical Applications and Future Developments.IEEE transactions on radiation and plasma medical sciences · 2021
    Article
  15. 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.

Evan Cary HarveyDepartment of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States of America.ORCID 0000-0002-3184-7461
Mang FengDepartment of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States of America.ORCID 0000-0002-7343-0525
Xu JiDepartment of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States of America.
Ran ZhangDepartment of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States of America.
Yinsheng LiDepartment of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States of America.ORCID 0000-0002-1635-5178
Guang-Hong ChenDepartment of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States of America.
Ke LiDepartment of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States of America.ORCID 0000-0002-2672-2672

Funding

One Stop Shop Imaging for Acute Ischemic StrokeTreatmentU01EB021183 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI CHEN, GUANG-HONG · 2015 to 2020
$3.5M
NIBIB NIH HHS U01 EB021183
6 · The paper itself

Abstract

While CTA is an established clinical gold standard for imaging large cerebral arteries and veins, an important challenge that currently remains for CTA is its limited performance in imaging small perforating arteries with diameters below 0.5 mm. The purpose of this work was to theoretically and experimentally study the potential benefits of using photon counting detector (PCD)-based CT (PCCT) to improve the performance of CTA in imaging these small arteries. In particular, the study focused on an important component of the CTA image package known as the maximum intensity projection (MIP) image. To help understand how the physical properties of a detector quantitatively influence the MIP image quality, a theoretical model on the statistical properties of MIP images was developed. After validating this model, it was used to explore the individual and joint contribution of the following detector properties to the MIP signal-to-noise ratio (SNR): inter-slice noise covariance, spatial resolution along the z direction, and native pixel pitch along z. The model demonstrated that superior slice sensitivity, reduced inter-slice noise correlation, and smaller native pixel pitch along z provided by PCDs lead to improved vessel SNR in MIP images. Finally, experiments were performed by scanning an anthropomorphic cerebral angiographic phantom using a benchtop PCCT system and a commercial MDCT system. The experimental MIP results consistently demonstrated that compared with MDCT, PCCT provides superior vessel conspicuity and reduced artifactual stenosis.

Indexed as

Cerebral AngiographyComputed Tomography AngiographyMultidetector Computed TomographyPhotonsBrainBrain IschemiaEquipment DesignHumansImage Processing, Computer-AssistedModels, StatisticalModels, TheoreticalPhantoms, ImagingProbabilitySignal-To-Noise RatioStroke

Identifiers

PMID31315093
PMCPMC7301592

What OpenQuestion holds

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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.