Evidence map›Paper›PMID 41721868›Full record

ArticleAbdominal radiology (New York)2026

Achieving free-breathing liver magnetic resonance imaging by combining compressed sensing with the number of excitations.

Ruirui Yang, Huicong Shen, Boyun Yan, Zhaoying Liu, Yanan Dong, Jiawei Zhang, Wenjia Wang, Liu Ya Jie

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ruirui YangDepartment of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Huicong ShenDepartment of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Boyun YanDepartment of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Zhaoying LiuDepartment of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Yanan DongDepartment of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Jiawei ZhangDepartment of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Wenjia WangMR Research Center, MR Research Center China, GE HealthCare, Bei jing, China.
Liu Ya JieDepartment of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China. liuyajie40@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTraditional MRI often requires breath-holding, which is challenging for some patients. This study investigates the Liver Acceleration Volume Acquisition-Flexible (LAVA-Flex) sequence using Cartesian sampling. We aim to assess how various combinations of compressed sensing (CS) and number of excitations (NEX) parameters affect image quality and scanning time for liver MRI under free-breathing conditions. Our goal is to identify the optimal parameter combination and offer a liver imaging protocol that is easily applicable for patients who cannot hold their breath.

methodIn this preliminary study, six CS-NEX parameter combinations were tested on healthy volunteers using a 3.0 T MRI: Group A (CS1.2/NEX2), Group B (CS2/NEX5), Group C (CS2/NEX6), Group D (CS2/NEX7), Group E (CS2.5/NEX5), and Group F (CS2.5/NEX6). Objective evaluation indicators included the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). Subjective assessment employed a 5-point scoring system to evaluate liver margin sharpness, vascular clarity, respiratory motion artifacts, and overall diagnostic value. Statistical analysis was performed using one-way analysis of variance (ANOVA), the Kruskal-Wallis test, and the weighted kappa test, with P < 0.05 considered statistically significant.

resultWe included a total of 30 volunteers in the study. The scanning times varied significantly across the six groups. Objective assessment indicated that the SNR increased progressively with the optimization of the CS-NEX combination, whereas the CNR did not differ significantly between groups. Subjectively, Group A scored the lowest for image quality, while Groups D to F scored the highest. Group E, with the shortest scanning time, achieved the best balance of image quality and efficiency.

conclusionThe combined effect of CS and NEX successfully addressed the challenge of liver imaging during free breathing using traditional MRI equipment. The optimal parameter combination, Group E, achieved the best balance between image quality and time efficiency in 98 s, offering a viable solution for breath-hold-impaired patients.

Indexed as

Data CompressionImage Interpretation, Computer-AssistedLiverMagnetic Resonance ImagingAdultBreath HoldingContrast MediaFemaleHumansMaleRespirationSignal-To-Noise RatioContrast MediaCompressed sensingFree-breathing imagingLiverMagnetic resonance imagingNumber of excitations

Identifiers

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.