Heinrich Andra, Streckenbach Felix, Beller Ebba, Groß Justus, Weber Marc-André, Meinel Felix G
Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, 18057 Rostock, Germany.
Center for Transdisciplinary Neurosciences Rostock, University Medical Center Rostock, 18057 Rostock, Germany.
Diagnostics (Basel). 2021 Nov 3;11(11):2037. doi: 10.3390/diagnostics11112037.
To evaluate the impact of a novel, deep-learning-based image reconstruction (DLIR) algorithm on image quality in CT angiography of the aorta, we retrospectively analyzed 51 consecutive patients who underwent ECG-gated chest CT angiography and non-gated acquisition for the abdomen on a 256-dectector-row CT. Images were reconstructed with adaptive statistical iterative reconstruction (ASIR-V) and DLIR. Intravascular image noise, the signal-to-noise ratio (SNR) and the contrast-to-noise ratio (CNR) were quantified for the ascending aorta, the descending thoracic aorta, the abdominal aorta and the iliac arteries. Two readers scored subjective image quality on a five-point scale. Compared to ASIR-V, DLIR reduced the median image noise by 51-54% for the ascending aorta and the descending thoracic aorta. Correspondingly, median CNR roughly doubled for the ascending aorta and descending thoracic aorta. There was a 38% reduction in image noise for the abdominal aorta and the iliac arteries, with a corresponding improvement in CNR. Median subjective image quality improved from good to excellent at all anatomical levels. In CT angiography of the aorta, DLIR substantially improved objective and subjective image quality beyond what can be achieved by state-of-the-art iterative reconstruction. This can pave the way for further radiation or contrast dose reductions.
为评估一种基于深度学习的新型图像重建（DLIR）算法对主动脉CT血管造影图像质量的影响，我们回顾性分析了51例连续患者，这些患者在256排CT上接受了心电图门控胸部CT血管造影和腹部非门控扫描。图像采用自适应统计迭代重建（ASIR-V）和DLIR进行重建。对升主动脉、降主动脉、腹主动脉和髂动脉的血管内图像噪声、信噪比（SNR）和对比噪声比（CNR）进行量化。两名阅片者采用五分制对主观图像质量进行评分。与ASIR-V相比，DLIR使升主动脉和降主动脉的图像噪声中位数降低了51%-54%。相应地，升主动脉和降主动脉的CNR中位数大致翻倍。腹主动脉和髂动脉的图像噪声降低了38%，CNR也相应提高。在所有解剖层面，主观图像质量中位数从良好提高到优秀。在主动脉CT血管造影中，DLIR显著改善了客观和主观图像质量，超过了目前最先进的迭代重建所能达到的水平。这可为进一步降低辐射剂量或对比剂剂量铺平道路。
