Evidence map›Paper›PMID 28331885›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2017

Formulation of image fusion as a constrained least squares optimization problem.

Nicholas Dwork, Eric M Lasry, John M Pauly, Jorge Balbás

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2017. 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. 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

4 authors.

Nicholas DworkStanford University , Department of Electrical Engineering, Stanford, California, United States.
Eric M LasryStanford University , Pre-Collegiate Summer Institutes, Stanford, California, United States.
John M PaulyStanford University , Department of Electrical Engineering, Stanford, California, United States.
Jorge BalbásCalifornia State University in Northridge , Department of Mathematics, Northridge, California, United States.

Funding

Training and DisseminationP41EB015891 · NIBIB · STANFORD UNIVERSITY · PI GLOVER, GARY H · 2012 to 2019
$10.7M
Predoctoral Training in Biomedical Imaging at Stanford UniversityT32EB009653 · NIBIB · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2010 to 2019
$2.1M
TRAINING IN CARDIAC MAGNETIC RESONANCE IMAGING (REVISED)T32HL007846 · NHLBI · STANFORD UNIVERSITY · PI NISHIMURA, DWIGHT · 1997 to 2016
$1.3M
NHLBI NIH HHS T32 HL007846NIBIB NIH HHS P41 EB015891NIBIB NIH HHS T32 EB009653
6 · The paper itself

Abstract

Fusing a lower resolution color image with a higher resolution monochrome image is a common practice in medical imaging. By incorporating spatial context and/or improving the signal-to-noise ratio, it provides clinicians with a single frame of the most complete information for diagnosis. In this paper, image fusion is formulated as a convex optimization problem that avoids image decomposition and permits operations at the pixel level. This results in a highly efficient and embarrassingly parallelizable algorithm based on widely available robust and simple numerical methods that realizes the fused image as the global minimizer of the convex optimization problem.

Indexed as

convex optimizationimage fusionmedical imaging

Identifiers

PMID28331885
PMCPMC5329707

What OpenQuestion holds

Textmetadata
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.