1
|
Zhu Z, Xue X, Tang T, Luo C, Li Y, Chen J, Xu B, Lin Z, Zhang X, Wang Z, Chen J, Lu J, Zhang W, Li X, Chen Q, Jiang Z, Wang J, Hu Q, Haller S, Li M, Yan C, Zhang B. Improving Image Quality and Decreasing SAR With High Dielectric Constant Pads in 3 T Fetal MRI. J Magn Reson Imaging 2025. [PMID: 39835472 DOI: 10.1002/jmri.29677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Revised: 11/26/2024] [Accepted: 11/27/2024] [Indexed: 01/22/2025] Open
Abstract
BACKGROUND At high magnetic fields, degraded image quality due to dielectric artifacts and elevated specific absorption rate (SAR) are two technical challenges in fetal MRI. PURPOSE To assess the potential of high dielectric constant (HDC) pad in increasing image quality and decreasing SAR for 3 T fetal MRI. STUDY TYPE Prospective. FIELD STRENGTH/SEQUENCE 3 T. Balanced steady-state free precession (bSSFP) and single-shot fast spin-echo (SSFSE). POPULATION One hundred twenty-eight participants (maternal-age 29.0 ± 3.6, range 20-40; gestational-age 30.3 ± 3.5 weeks, range 22-37 weeks) undertook bSSFP and 40 participants (maternal-age 29.5 ± 3.8, range 19-40; gestational-age 30.4 ± 3.5 weeks, range 23-37 weeks) undertook SSFSE. ASSESSMENT Patient clinical characteristics were recorded, such as gestational-age, amniotic-fluid-index, abdominal-circumference, body-mass-index, and fetal-presentation. Quantitative Image-quality analysis included signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). Qualitative analysis was performed by three radiologists with four-point scale to evaluate overall image quality, dielectric artifact, and diagnostic confidence. Whole-body total SAR was obtained from the vendor workstation. STATISTICAL TESTING Paired rank sum test was used to analyze the differences in SNR, CNR, overall image quality, dielectric artifact, diagnostic confidence, and SAR with and without HDC pad. Spearman correlation test was used to detect correlations between image quality variable changes and patient clinical characteristics. P values <0.05 were set as statistical significance. RESULTS With HDC pad, SNR and CNR was significantly higher (41.45% increase in SNR, 54.05% increase in CNR on bSSFP; 258.76% increase in SNR, 459.55% increase in CNR on SSFSE). Overall qualitative image quality, dielectric artifact and diagnostic confidence improved significantly. Adding HDC pad significantly reduced Whole-body total SAR (32.60% on bSSFP; 15.40% on SSFSE). There was no significant correlation between image quality variable changes and participant clinical characteristics (P-values ranging from 0.072 to 0.992). DATA CONCLUSION In the clinical setting, adding a HDC pad might increase image quality while reducing dielectric artifact and SAR. PLAN LANGUAGE SUMMARY Dielectric artifacts and elevated SAR are two technical problems in 3T fetal MRI. In a prospective analysis of 168 pregnant participants undertaking 3.0T fetal MRI scanning, high dielectric constant (HDC) pad increased SNR by 41.45%, CNR by 54.05% on bSSFP, and SNR by 258.76%, CNR by 459.55% on SSFSE. Overall image quality, dielectric artifact reduction, and diagnostic confidence assessed by three radiologists was improved. Whole-body total SAR decreased by 32.60% on bSSFP and by 15.40% on SSFSE. These findings suggested that the HDC pad can enhance fetal MRI safety and quality, making it a promising tool for clinical practice. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 5.
Collapse
Affiliation(s)
- Zhengyang Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Xunwen Xue
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Tang Tang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Chao Luo
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Shenzhen Key Laboratory for MRI, Shenzhen, China
| | - Ye Li
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Shenzhen Key Laboratory for MRI, Shenzhen, China
| | - Jing Chen
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Biyun Xu
- Medical Statistics and Analysis Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Zengping Lin
- Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, China
| | - Xin Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Zhengge Wang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Jun Chen
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Jiaming Lu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Wen Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Xin Li
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Qian Chen
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Zhuoru Jiang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Junxia Wang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Qing Hu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | | | - Ming Li
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Chenchen Yan
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
| | - Bing Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing, Jiangsu, China
- Institute of Brain Science, Nanjing University, Nanjing, Jiangsu, China
| |
Collapse
|