单位：[1]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’ an 710049, China Department of Radiology, Radio-Oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal, Montreal, QC H2X 0A9, Canada[2]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’ an 710049, China[3]Department of Plastic and Cosmetic Surgery, The Eastern Division of The First Hospital of Jilin University, Changchun 130031, China[4]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’ an 710049, China[5]Department of Oncology, Beijing Friendship Hospital Capital Medical University, Beijing 1000050, China临床科室肿瘤中心肿瘤内科首都医科大学附属北京友谊医院[6]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’ an 710049, China
PurposeThis study aimed to develop a fast scheme of multiparametric perfusion functional imaging (PFI) based on dynamic contrast-enhanced ultrasound (DCEUS) for assessing renal microvascular hemodynamics. MethodThe flow process in the DCEUS-based PFI was modified step-by-step to improve its operational efficiency, which was validated through invivo renal perfusion experiments. A multiparametric model with a comprehensive coefficient of imaging quality (CIQ) was then built on four terms of the average information entropy, contrast, gray, and noise coefficient of PFIs to evaluate the sacrifice of imaging quality during modifications of DCEUS-based PFI. ResultsThe multiparametric model successfully evaluated modifications of DCEUS-based PFI from multiple perspectives (R-2=0.73, P<0.01). Compared with the raw scheme in the renal sagittal and coronal planes, the fast PFI scheme significantly improved its operational efficiency by 62.821.07% (P<0.01) and the nine PFIs simultaneously maintained a similar CIQ of 0.26 +/- 0.06. ConclusionsThe inhomogeneous hemodynamic distributions with a ring-like feature in the renal microvasculature were accurately and efficiently characterized by the fast PFI scheme. The fast PFI scheme can be applied for early diagnosis, follow-up evaluation and monitoring treatment of chronic kidney disease.
基金：
National Key Research and Development Program of China [2016YFC0100701]; Ministry of Science and TechnologyMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT)
第一作者单位：[1]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’ an 710049, China Department of Radiology, Radio-Oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal, Montreal, QC H2X 0A9, Canada
通讯作者：
推荐引用方式(GB/T 7714)：
Wang Diya,Xu Shanshan,Zhang Kejia,et al.A fast scheme for renal microvascular perfusion functional imaging: Assessed by an imaging quality evaluation model[J].MEDICAL PHYSICS.2019,46(2):738-745.doi:10.1002/mp.13358.
APA：
Wang, Diya,Xu, Shanshan,Zhang, Kejia,Zhang, Xinyu,Yang, Xuan...&Wan, Mingxi.(2019).A fast scheme for renal microvascular perfusion functional imaging: Assessed by an imaging quality evaluation model.MEDICAL PHYSICS,46,(2)
MLA：
Wang, Diya,et al."A fast scheme for renal microvascular perfusion functional imaging: Assessed by an imaging quality evaluation model".MEDICAL PHYSICS 46..2(2019):738-745
