Suppr超能文献

3分钟膝关节磁共振成像方案足以满足日常临床实践吗?一种使用人工智能和压缩感知的超分辨率重建方法。

Is a 3-Minute Knee MRI Protocol Sufficient for Daily Clinical Practice? A SuperResolution Reconstruction Approach Using AI and Compressed Sensing.

作者信息

Hahnfeldt Robert, Terzis Robert, Dratsch Thomas, Basten Lajos Maximilian, Rauen Philip, Oppermann Johannes, Grevenstein David, Janßen Jan Paul, Zeid Nour El-Hoda Abou, Sonnabend Kristina, Katemann Christoph, Skornitzke Stephan, Maintz David, Kottlors Jonathan, Bratke Grischa, Iuga Andra-Iza

机构信息

Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50923 Cologne, Germany.

Orthopaedic Surgery and Traumatology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50923 Cologne, Germany.

出版信息

Diagnostics (Basel). 2025 May 9;15(10):1206. doi: 10.3390/diagnostics15101206.

Abstract

The purpose of this study was to assess whether a 3-min 2D knee protocol can meet the needs for clinical application if using a SuperResolution reconstruction approach. In this prospective study, a total of 20 volunteers underwent imaging of the knee using a 3T MRI scanner (Philips Ingenia Elition X 3.0T, Philips). The imaging protocol, consisting of a fat-saturated 2D proton density sequence in coronal, sagittal, and transverse orientations, as well as a sagittal T1-weighted sequence, was acquired with standard and ultra-low resolution. The standard sequences were reconstructed using an AI-assisted Compressed SENSE method (SmartSpeed). The ultra-low-resolution sequences have been reconstructed using a vendor-provided prototype. Four experienced readers (two radiologists and two orthopedic surgeons) evaluated the sequences for image quality, anatomical structures, and incidental pathologies. The consensus evaluation of two different experienced radiologists specialized in musculoskeletal imaging served as the gold standard. The acquisition time for the entire protocol was 11:01 min for standard resolution and 03:36 min for ultra-low resolution. In the overall assessment, CS-SuperRes-reconstructed sequences showed slightly improved accuracy and increased specificity compared to the standard CS-AI method (0.87 vs. 0.86 and 0.9 vs. 0.87, respectively), while the standard method exhibited a higher sensitivity (0.73 vs. 0.57). Overall, 24 out of 40 pathologies were detected in the ultra-low-resolution images compared to 26 in the standard images. The CS-SuperRes method enables a 2D knee protocol to be completed in 3 min, with improved accuracy compared to the clinical standard.

摘要

本研究的目的是评估采用超分辨率重建方法时,3分钟的二维膝关节检查方案是否能满足临床应用需求。在这项前瞻性研究中,共有20名志愿者使用3T磁共振成像扫描仪(飞利浦Ingenia Elition X 3.0T,飞利浦公司)对膝关节进行成像。成像方案包括冠状位、矢状位和横断位的脂肪抑制二维质子密度序列以及矢状位T1加权序列,分别以标准分辨率和超低分辨率采集。标准序列采用人工智能辅助压缩感知方法(SmartSpeed)重建。超低分辨率序列使用供应商提供的原型进行重建。四位经验丰富的阅片者(两位放射科医生和两位骨科医生)对序列的图像质量、解剖结构和偶然发现的病变进行评估。由两位专门从事肌肉骨骼成像的不同经验丰富的放射科医生进行的一致性评估作为金标准。整个检查方案的采集时间,标准分辨率为11分01秒,超低分辨率为3分36秒。在总体评估中,与标准压缩感知-人工智能方法相比,压缩感知-超分辨率重建序列的准确性略有提高,特异性增加(分别为0.87对0.86和0.9对0.87),而标准方法具有更高的敏感性(0.73对0.57)。总体而言,超低分辨率图像中检测出40个病变中的24个,标准图像中为26个。压缩感知-超分辨率方法能够在3分钟内完成二维膝关节检查方案,与临床标准相比准确性有所提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac2e/12109732/645ca23e63fb/diagnostics-15-01206-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验