Evidence map›Paper›PMID 34953027›Full record

ArticleJournal of applied clinical medical physics2022

Image quality and acquisition time assessments for phase oversampling in compressed sensing sensitivity encoding: Comparison with conventional SENSE.

Ji Sung Jang, Ho Beom Lee, Chong Hyun Suh, Min Hee Lee

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

4 authors.

Ji Sung JangDepartments of Radiology and Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, South Korea.ORCID https://orcid.org/0000-0001-9300-3945
Ho Beom LeeDepartments of Radiology and Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, South Korea.ORCID https://orcid.org/0000-0002-0908-8438
Chong Hyun SuhDepartments of Radiology and Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, South Korea.ORCID https://orcid.org/0000-0002-4737-0530
Min Hee LeeDepartments of Radiology and Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, South Korea.ORCID https://orcid.org/0000-0001-9481-2138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study compared sensitivity encoding (SENSE) and compressed sensing sensitivity encoding (CS-SENSE) for phase oversampling distance and assessed its impact on image quality and image acquisition time. The experiment was performed with a large diameter phantom using 16-channel anterior body coils. All imaging data were divided into three groups according to the parallel imaging technique and oversampling distances: groups A (SENSE with phase oversampling distance of 150 mm), B (CS-SENSE with phase oversampling distance of 100 mm), and C (CS-SENSE with phase oversampling distance of 75 mm). No statistically significant differences were observed among groups A, B, and C regarding both T2 and T1 turbo spin-echo (TSE) sequences using an acceleration factor (AF) of 2 (p = 0.301 and 0.289, respectively). In comparison with AF 2 of group A, the scan time of AF 2 of groups B and C was reduced by 11.2% and 23.5% (T2 TSE) and 15.8% and 22.7% (T1 TSE), respectively, while providing comparable image quality. Significant image noise and aliasing artifact were more evident at AF

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingArtifactsHumansPhantoms, Imagingcompressed sensitivity encodingimage qualityphase oversamplingsensitivity encoding

Identifiers

PMID34953027
PMCPMC8833279

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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.