ACCELERATED ANKLE MRI PROTOCOL USING COMBINED VARIABLE DENSITY UNDERSAMPLING OF K-SPACE WITH ECHO SPACING OPTIMIZATION le Density

Osteoarthritis imaging Pub Date : 2026-01-01 Epub Date: 2026-06-20 DOI:10.1016/j.ostima.2026.100422
D Ferreira Branco, M Alzaher, FJ Simeone, M Jarraya, M Fung, A Gaddipati, S Mandava, D Rettmann, E Milshteyn, JS Husseini
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引用次数: 0

Abstract

PURPOSE

To compare image quality and acquisition times for a commercial deep-learning reconstruction technique with a new technique that combines a variable density undersampling of k-space with echo spacing optimization for 3-fold acceleration in ankle MR.

METHODS

In this prospective study, 28 patients underwent ankle MR exams as part of standard clinical care using our institution’s routine protocol on a GE Premier 3T magnet with a protocol employing a commercialized DL Recon algorithm (AIR™ Recon DL, GE HealthCare), which is based on a Convolutional Neural Network (CNN) trained to remove ringing, reduce noise, and increase sharpness. Each patient underwent an additional 3-fold accelerated MRI exam which combined 2 features: a vendor-supplied prototype known as Sonic DLTM 2D, which is an acquisition and reconstruction technique that combines highly accelerated variable density undersampled data acquisition with an unrolled DL-based reconstruction and echo spacing optimization, which allows for longer echo train lengths (ETL) and SAR reduction. Commercial AIR Recon DL images were compared to the accelerated images. Reviewers evaluated lateral ankle ligaments, as well as tibiotalar articular cartilage and subchondral bone for pathology. Reviewers also performed a subjective evaluation of image quality, assessment of main pathology, and diagnostic confidence in commercial and accelerated images. Image-quality Likert scores were compared between protocols using Wilcoxon signed-rank tests; inter-reader agreement was quantified with Gwet's AC2 for image quality and diagnostic confidence, and with weighted Cohen's κ for lesion assessment.

RESULTS

Mean acquisition time was 705.5 ± 91.5 s for the standard protocol versus 471.1 ± 52.1 s for the accelerated protocol (33% reduction). Image-quality Likert scores did not differ between protocols for any reader (Wilcoxon signed-rank, p = 0.21, 0.10, 0.65). Inter-reader agreement (Gwet's AC2) for image-quality was excellent in both protocols (standard 0.90 [95% CI 0.81–0.99]; accelerated 0.83 [0.73–0.93]); diagnostic confidence agreement was good to excellent (0.79 [0.67–0.92] vs 0.77 [0.62–0.92] respectively). For diagnostic lesion assessment, inter-reader agreement evaluated using Cohen’s kappa was consistently good to excellent across all structures. For standard sequences, kappa values ranged from 0.72 (95% CI: 0.54–0.90) for calcaneofibular ligament (CFL) injury to 0.93 (CI: 0.84–1.00) for subchondral edema, with anterior talofibular ligament (ATFL) injury (κ = 0.84 CI: 0.71–0.97), cartilage (κ = 0.86 CI: 0.70–1.00), and subchondral cyst (κ = 0.89, CI: 0.76–1.00) also demonstrating high agreement. For accelerated sequences, kappa values ranged from 0.80 (CI: 0.65–0.95) for CFL to 0.97 (CI: 0.89–1.00) for subchondral cysts, with ATFL (κ = 0.87, CI: 0.75–0.98), cartilage (κ = 0.87, CI: 0.71–1.00), and subchondral edema (κ = 0.93, CI: 0.84–1.00).

CONCLUSION

This accelerated protocol shortens ankle MRI by approximately 4 minutes while preserving image quality and inter-reader diagnostic agreement, enhancing patient comfort and MRI throughput.
结合可变密度k空间欠采样和回声间隔优化密度的加速踝关节MRI方案
目的比较商业深度学习重建技术与一种新技术的图像质量和采集时间,该技术结合了k空间的变密度欠采样和回波间隔优化,用于踝关节mr的3倍加速度。28名患者接受了脚踝MR检查,作为标准临床护理的一部分,使用我们机构的常规方案,在GE Premier 3T磁铁上进行脚踝MR检查,该方案采用商业化DL Recon算法(AIR™Recon DL, GE HealthCare),该算法基于卷积神经网络(CNN),经过训练可以去除响铃,降低噪音,提高清晰度。每位患者都接受了额外的3倍加速MRI检查,该检查结合了两个特征:供应商提供的Sonic DLTM 2D原型,这是一种采集和重建技术,将高度加速的可变密度低采样数据采集与基于展开dl的重建和回波间隔优化相结合,从而允许更长的回波序列长度(ETL)和SAR降低。将商用AIR Recon DL图像与加速图像进行比较。审稿人评估了外侧踝关节韧带,以及胫距关节软骨和软骨下骨的病理。审稿人还对图像质量、主要病理评估以及对商业和加速图像的诊断信心进行了主观评估。使用Wilcoxon符号秩检验比较不同方案的图像质量Likert分数;用Gwet的AC2(图像质量和诊断置信度)和加权科恩κ(病变评估)来量化读者间一致性。结果标准方案的平均采集时间为705.5±91.5 s,加速方案的平均采集时间为471.1±52.1 s,缩短33%;图像质量Likert评分在任何阅读器的协议之间没有差异(Wilcoxon带符号秩,p = 0.21,0.10,0.65)。两种方案中图像质量的阅读器间一致性(Gwet’s AC2)都很好(标准CI 0.90 [95% CI 0.81-0.99],加速CI 0.83 [0.73-0.93]);诊断置信度一致性为良至优(分别为0.79[0.67-0.92]和0.77[0.62-0.92])。对于诊断性病变评估,使用Cohen 's kappa评估的读者间一致性在所有结构中均为良好至优秀。对于标准序列,kappa值范围从跟腓骨韧带(CFL)损伤的0.72 (95% CI: 0.54-0.90)到软骨下水肿的0.93 (CI: 0.84 - 1.00),距腓骨前韧带(ATFL)损伤(κ = 0.84 CI: 0.71-0.97)、软骨(κ = 0.86 CI: 0.70-1.00)和软骨下囊肿(κ = 0.89,CI: 0.76-1.00)也表现出高度一致。对于加速序列,CFL的kappa值为0.80 (CI: 0.65-0.95),软骨下囊肿的kappa值为0.97 (CI: 0.89-1.00), ATFL (κ = 0.87,CI: 0.75-0.98),软骨(κ = 0.87,CI: 0.71-1.00)和软骨下水肿(κ = 0.93,CI: 0.84-1.00)。结论:该加速方案将踝关节MRI缩短约4分钟,同时保持图像质量和阅读器间诊断一致性,提高患者舒适度和MRI吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Osteoarthritis imaging
Osteoarthritis imaging Radiology and Imaging
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