Evidence map›Paper›PMID 32702686›Full record

ArticlePhysics in medicine and biology2020

Dual source hybrid spectral micro-CT using an energy-integrating and a photon-counting detector.

M D Holbrook, D P Clark, C T Badea

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2020. 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
0.9field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Image-Guided Cardiac Regeneration via a 3D Bioprinted Vascular Patch with Built-in CT Visibility.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2025
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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

3 authors at 1 institution in 1 country.

M D HolbrookCenter for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC 27710, United States of America.ORCID 0000-0002-5832-8725
D P ClarkCenter for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC 27710, United States of America.
C T BadeaCenter for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC 27710, United States of America.ORCID 0000-0002-1850-2522
Duke University · US

Funding

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
Multiorgan Photon Counting CT and Machine Learning to Elucidate Aging Mechanisms and InterventionsR01AG070149 · NIA · DUKE UNIVERSITY · PI CRISTIAN T BADEA, Alexandra Badea · 2024 to 2026
$2.1M
NCI NIH HHS R01 CA196667NCI NIH HHS U24 CA220245NIA NIH HHS R01 AG070149
6 · The paper itself

Abstract

Preclinical micro-CT provides a hotbed in which to develop new imaging technologies, including spectral CT using photon counting detector (PCD) technology. Spectral imaging using PCDs promises to expand x-ray CT as a functional imaging modality, capable of molecular imaging, while maintaining CT's role as a powerful anatomical imaging modality. However, the utility of PCDs suffers due to distorted spectral measurements, affecting the accuracy of material decomposition. We attempt to improve material decomposition accuracy using our novel hybrid dual-source micro-CT system which combines a PCD and an energy integrating detector. Comparisons are made between PCD-only and hybrid CT results, both reconstructed with our iterative, multi-channel algorithm based on the split Bregman method and regularized with rank-sparse kernel regression. Multi-material decomposition is performed post-reconstruction for separation of iodine (I), gold (Au), gadolinium (Gd), and calcium (Ca). System performance is evaluated first in simulations, then in micro-CT phantoms, and finally in an in vivo experiment with a genetically modified p53

Indexed as

AlgorithmsContrast MediaPhantoms, ImagingPhotonsAnimalsGadoliniumHumansImage Processing, Computer-AssistedIodineMiceSarcomaSarcoma, ExperimentalX-Ray MicrotomographyContrast MediaGadoliniumIodine

Identifiers

PMID32702686
PMCPMC7770809
OpenAlexW3043881116

What OpenQuestion holds

Textmetadata
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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.