Yan Xianghu, Ran Lingping, Zou Lixian, Luo Yi, Yang Zhaoxia, Zhang Shiyu, Zhang Shuheng, Xu Jian, Huang Lu, Xia Liming
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen, China.
Quant Imaging Med Surg. 2023 Mar 1;13(3):1699-1710. doi: 10.21037/qims-22-607. Epub 2023 Feb 9.
Dark blood T2-weighted (DB-T2W) imaging is widely used to evaluate myocardial edema in myocarditis and inflammatory cardiomyopathy. However, this technique is sensitive to arrhythmia, tachycardia, and cardiac and respiratory motion due to the long scan time with multiple breath-holds. The application of artificial intelligence (AI)-assisted compressed sensing (ACS) has facilitated significant progress in accelerating medical imaging. However, the effect of DB-T2W imaging on ACS has not been elucidated. This study aimed to examine the effects of ACS on the image quality of single-shot and multi-shot DB-T2W imaging of edema.
Thirty-three patients were included in this study and received DB-T2W imaging with ACS, including single-shot acquisition (SS-ACS) and multi-shot acquisition (MS-ACS). The resulting images were compared with those of the conventional multi-shot DB-T2W imaging with parallel imaging (MS-PI). Quantitative assessments of the signal-to-noise ratio (SNR), tissue contrast ratio (CR), and contrast-to-noise ratio (CNR) were performed. Three radiologists independently evaluated the overall image quality, blood nulling, free wall of the left ventricle, free wall of the right ventricle, and interventricular septum using a 5-point Likert scale.
The total scan time of the DB-T2W imaging with ACS was significantly reduced compared to the conventional parallel imaging [number of heartbeats (SS-ACS:MS-ACS:MS-PI) =19:63:99; P<0.001]. The SNR and CNR of MS-ACS and SS-ACS were higher than those of MS-PI (all P values <0.01). Furthermore, the CR of SS-ACS was also higher than that of MS-PI (P<0.01). There were significant differences in overall image quality, blood nulling, left ventricle free wall visibility, and septum visibility between the MS-PI, MS-ACS, and SS-ACS protocols (all P values <0.05). Moreover, blood in the heart was better nulled using SS-ACS (P<0.01).
The ACS method shortens the scan time of DB-T2W imaging and achieves comparable or even better image quality compared to the PI method. Moreover, DB-T2W imaging using the ACS method can reduce the number of breath-holds to 1 with single-shot acquisition.
黑血T2加权(DB-T2W)成像广泛用于评估心肌炎和炎症性心肌病中的心肌水肿。然而,由于多次屏气的扫描时间长,该技术对心律失常、心动过速以及心脏和呼吸运动敏感。人工智能(AI)辅助压缩感知(ACS)的应用在加速医学成像方面取得了显著进展。然而,DB-T2W成像对ACS的影响尚未阐明。本研究旨在探讨ACS对水肿的单次激发和多次激发DB-T2W成像图像质量的影响。
本研究纳入33例患者,接受了采用ACS的DB-T2W成像,包括单次激发采集(SS-ACS)和多次激发采集(MS-ACS)。将所得图像与采用并行成像的传统多次激发DB-T2W成像(MS-PI)的图像进行比较。对信噪比(SNR)、组织对比度(CR)和对比噪声比(CNR)进行定量评估。三名放射科医生使用5分李克特量表独立评估整体图像质量、血液抑制、左心室游离壁、右心室游离壁和室间隔。
与传统并行成像相比,采用ACS的DB-T2W成像的总扫描时间显著缩短[心跳次数(SS-ACS:MS-ACS:MS-PI)=19:63:99;P<0.001]。MS-ACS和SS-ACS的SNR和CNR高于MS-PI(所有P值<0.01)。此外,SS-ACS的CR也高于MS-PI(P<0.01)。MS-PI、MS-ACS和SS-ACS方案之间在整体图像质量、血液抑制、左心室游离壁可见性和室间隔可见性方面存在显著差异(所有P值<0.05)。此外,使用SS-ACS时心脏内的血液抑制效果更好(P<0.01)。
ACS方法缩短了DB-T2W成像的扫描时间,与PI方法相比实现了相当甚至更好的图像质量。此外,采用ACS方法的DB-T2W成像通过单次激发采集可将屏气次数减少到一次。