Evidence map›Paper›PMID 25968400›Full record

ArticleApplied optics2015

Compressive sensing in medical imaging.

Christian G Graff, Emil Y Sidky

Abstract read
In one paragraph

Article in Applied optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  5. Image Reconstruction with Maclaurin Series Expansion.International journal of biomedical research & practice · 2025
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  14. Computing a projection operator onto the null space of a linear imaging operator: tutorial.Journal of the Optical Society of America. A, Optics, image science, and vision · 2022
    Article
  15. Article
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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

2 authors.

Christian G Graff
Emil Y Sidky

Funding

Targeted Imaging in Helical Cone-Beam CTR01EB000225 · NIBIB · UNIVERSITY OF CHICAGO · PI PAN, XIAOCHUAN · 2002 to 2014
$3.5M
Digital Specimen Tomosynthesis for Volumetric Imaging of Lumpectomy SpecimensR01EB018102 · NIBIB · UNIVERSITY OF CHICAGO · PI PAN, XIAOCHUAN · 2014 to 2017
$2.0M
Development of Advanced C-arm Cone-Beam CT for the Treatment of Liver CancerR01CA182264 · NCI · UNIVERSITY OF CHICAGO · PI PAN, XIAOCHUAN · 2014 to 2017
$1.8M
Limited Angle Image ReconstructionR01CA158446 · NCI · UNIVERSITY OF CHICAGO · PI SIDKY, EMIL Y · 2012 to 2015
$1.2M
NCI NIH HHS CA158446NCI NIH HHS CA182264NCI NIH HHS R01 CA158446NCI NIH HHS R01 CA182264NIBIB NIH HHS EB000225NIBIB NIH HHS EB018102NIBIB NIH HHS R01 EB000225NIBIB NIH HHS R01 EB018102
6 · The paper itself

Abstract

The promise of compressive sensing, exploitation of compressibility to achieve high quality image reconstructions with less data, has attracted a great deal of attention in the medical imaging community. At the Compressed Sensing Incubator meeting held in April 2014 at OSA Headquarters in Washington, DC, presentations were given summarizing some of the research efforts ongoing in compressive sensing for x-ray computed tomography and magnetic resonance imaging systems. This article provides an expanded version of these presentations. Sparsity-exploiting reconstruction algorithms that have gained popularity in the medical imaging community are studied, and examples of clinical applications that could benefit from compressive sensing ideas are provided. The current and potential future impact of compressive sensing on the medical imaging field is discussed.

Indexed as

AlgorithmsCongresses as TopicData CompressionDiagnostic ImagingHumansImage Processing, Computer-AssistedLiver NeoplasmsLung NeoplasmsMagnetic Resonance ImagingPatient SafetyRadiographic Image Interpretation, Computer-AssistedRadiography, ThoracicReproducibility of ResultsSignal Processing, Computer-AssistedTomography, X-Ray Computed

Identifiers

PMID25968400
PMCPMC4669980

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.