Evidence map›Paper›PMID 29148430›Full record

ArticlePhysics in medicine and biology2018

Low-dose 4D cardiac imaging in small animals using dual source micro-CT.

M Holbrook, D P Clark, C T Badea

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Advances in micro-CT imaging of small animals.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2021
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Image gradient LOptics express · 2019
    Article
  10. Article
  11. 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

3 authors.

M HolbrookDepartment of Radiology, Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC 27710, United States of America.ORCID 0000-0002-5832-8725
D P ClarkDepartment of Radiology, Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC 27710, United States of America.
C T BadeaDepartment of Radiology, Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC 27710, United States of America.

Funding

INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
Training in Medical ImagingT32EB001040 · NIBIB · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2003 to 2018
$4.4M
The Duke Preclinical Research Resources for Quantitative Imaging BiomarkersU24CA220245 · NCI · DUKE UNIVERSITY · PI BADEA, CRISTIAN T · 2017 to 2021
$2.8M
Development of a New Generation Micro-CT imaging for Functional and Molecular Imaging of CancerR01CA196667 · NCI · DUKE UNIVERSITY · PI BADEA, CRISTIAN T · 2015 to 2019
$2.3M
NCI NIH HHS R01 CA196667NCI NIH HHS U24 CA220245NIBIB NIH HHS P41 EB015897NIBIB NIH HHS T32 EB001040
6 · The paper itself

Abstract

Micro-CT is widely used in preclinical studies, generating substantial interest in extending its capabilities in functional imaging applications such as blood perfusion and cardiac function. However, imaging cardiac structure and function in mice is challenging due to their small size and rapid heart rate. To overcome these challenges, we propose and compare improvements on two strategies for cardiac gating in dual-source, preclinical micro-CT: fast prospective gating (PG) and uncorrelated retrospective gating (RG). These sampling strategies combined with a sophisticated iterative image reconstruction algorithm provide faster acquisitions and high image quality in low-dose 4D (i.e. 3D  +  Time) cardiac micro-CT. Fast PG is performed under continuous subject rotation which results in interleaved projection angles between cardiac phases. Thus, fast PG provides a well-sampled temporal average image for use as a prior in iterative reconstruction. Uncorrelated RG incorporates random delays during sampling to prevent correlations between heart rate and sampling rate. We have performed both simulations and animal studies to validate these new sampling protocols. Sampling times for 1000 projections using fast PG and RG were 2 and 3 min, respectively, and the total dose was 170 mGy each. Reconstructions were performed using a 4D iterative reconstruction technique based on the split Bregman method. To examine undersampling robustness, subsets of 500 and 250 projections were also used for reconstruction. Both sampling strategies in conjunction with our iterative reconstruction method are capable of resolving cardiac phases and provide high image quality. In general, for equal numbers of projections, fast PG shows fewer errors than RG and is more robust to undersampling. Our results indicate that only 1000-projection based reconstruction with fast PG satisfies a 5% error criterion in left ventricular volume estimation. These methods promise low-dose imaging with a wide range of preclinical applications in cardiac imaging.

Indexed as

AlgorithmsPhantoms, ImagingAnimalsFour-Dimensional Computed TomographyHeartImage Processing, Computer-AssistedMiceRadiation DosageX-Ray Microtomography

Identifiers

PMID29148430
PMCPMC5831335

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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.