Evidence map›Paper›PMID 42087085›Full record

ArticleBMC medical imaging2026

The effect of head coil configuration and channel count on the quality of double inversion recovery (DIR) MRI images.

Adnan Alahmadi, Razan A Alshehri, Rana A Gasem, Abdullah Aljuhani, Almotazbillah Bedaiwi, Afnan A Malaih, Jamaan Alghamdi, Amal Alsalamah, Shyma M Alkhateeb, Ghouth Waggass and 8 more

Abstract read
In one paragraph

Article in BMC medical imaging, 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

18 authors.

Adnan AlahmadiDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. aaalahmadi@kau.edu.sa.
Razan A AlshehriDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Rana A GasemDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Abdullah AljuhaniDr. Sulaiman Alhabib Medical Group, Jeddah, Saudi Arabia.
Almotazbillah BedaiwiDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Afnan A MalaihDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Jamaan AlghamdiDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Amal AlsalamahRadiological Sciences, Batterjee Medical College, Jeddah, Saudi Arabia.
Shyma M AlkhateebDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Ghouth WaggassDepartment of Radiology, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Mohammad KhalilDepartment of Radiology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Mustafa S AlhasanInternal Medicine, Taibah University, Madinah, Saudi Arabia.
Khalid M AlshamraniCollege of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.
Ali M HendiDepartment of Radiology College of Medicine, Jazan University, Jazan, Saudi Arabia.
Njoud AldusaryDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Walaa AlsharifDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia.
Norah Y HakamiRadiological Sciences, Batterjee Medical College, Jeddah, Saudi Arabia.
Ibrahem Hussain KanbaytiDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDouble inversion recovery (DIR) MRI provides high sensitivity for detecting white matter abnormalities but suffers from reduced signal-to-noise ratio (SNR) due to simultaneous suppression of multiple tissue signals. Head-coil configuration and channel count may influence the resulting image quality.

methodsSeventeen healthy subjects underwent DIR imaging on a 3-T MRI system using both 64-channel and 20-channel head/neck coils. Quantitative image quality was assessed using SNR and contrast-to-noise ratio (CNR) measurements across multiple brain regions, with comparisons performed using paired t-tests. Structural Similarity Index Measure (SSIM) was additionally computed between registered 64-channel and 20-channel DIR images to quantify inter-coil structural image similarity. Qualitative image quality was evaluated by three experienced neuroradiologists using a 5-point rating scale for contrast, spatial resolution, and noise; inter-rater agreement was assessed using Kendall's coefficient of concordance (Kendall's W).

resultsQuantitative analysis demonstrated significantly higher SNR and CNR values for the 64-channel coil compared with the 20-channel coil across all assessed regions (p < 0.0001). Qualitative evaluation showed that images acquired with the 64-channel coil received marginally higher mean scores for contrast, spatial resolution, and noise from all raters; inter-rater agreement was moderate-to-strong across all domains (Kendall's W = 0.33-0.89).

conclusionAt 3 T, the use of a 64-channel head/neck coil provides significant quantitative improvements in DIR image quality compared with a 20-channel coil, with small but consistent advantages also observed in qualitative assessments. These findings support the use of higher-channel-count coils to mitigate SNR limitations inherent to DIR imaging. However, qualitative differences between coil configurations were modest and inter-rater agreement was moderate-to-strong by Kendall's W (W = 0.33-0.89). The clinical benefit of the 64-channel coil in pathological conditions such as multiple sclerosis or cortical dysplasia requires further investigation in patient-based studies.

Indexed as

BrainMagnetic Resonance ImagingImage Processing, Computer-AssistedSignal-To-Noise Ratio20-channel head coil64-channel head coil(DIR)Double inversion recoveryImage qualityMagnetic resonance imaging (MRI)Signal-to-noise ratio

Identifiers

PMID42087085
PMCPMC13312547

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.