Evidence map›Paper›PMID 26672028›Full record

ArticleIEEE transactions on bio-medical engineering2016

Simultaneous CT-MRI Reconstruction for Constrained Imaging Geometries Using Structural Coupling and Compressive Sensing.

Yan Xi, Jun Zhao, James R Bennett, Mitchel R Stacy, Albert J Sinusas, Ge Wang

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Biomedical optics express · 2017
    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.

Yan Xi
Jun Zhao
James R Bennett
Mitchel R Stacy
Albert J Sinusas
Ge Wang

Funding

Training In Multi-modality Molecular & Translational Cardiovascular ImagingT32HL098069 · NHLBI · YALE UNIVERSITY · PI JAMES S DUNCAN, Georges El Fakhri · 2010 to 2026
$5.2M
Optical Molecular Tomography for Regenerative MedicineR01HL098912 · NHLBI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI SOKER, SHAY, WANG, GE · 2010 to 2013
$2.9M
NHLBI NIH HHS R01 HL098912NHLBI NIH HHS T32 HL098069
6 · The paper itself

Abstract

objectiveA unified reconstruction framework is presented for simultaneous CT-MRI reconstruction.

methodsIn an ideal CT-MRI scanner, CT and MRI acquisitions would occur simultaneously, and would be inherently registered in space and time. Alternatively, separately acquired CT and MRI scans can be fused to simulate an instantaneous acquisition. In this study, structural coupling and compressive sensing techniques are combined to unify CT and MRI reconstructions. A bidirectional image estimation method was proposed to connect images from different modalities. Hence, CT and MRI data serve as prior knowledge to each other for better CT and MRI image reconstruction than what could be achieved with separate reconstruction. SIGNIFICANCE: Combined CT-MRI imaging has the potential for improved results in existing preclinical and clinical applications, as well as opening novel research directions for future applications.

resultsOur integrated reconstruction methodology is demonstrated with numerical phantom and real-dataset-based experiments, and has yielded promising results.

Indexed as

HumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingTomography, X-Ray Computed

Identifiers

PMID26672028
PMCPMC4930897

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.