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A fast scheme for renal microvascular perfusion functional imaging: Assessed by an imaging quality evaluation model
Author(s) -
Wang Diya,
Xu Shanshan,
Zhang Kejia,
Zhang Xinyu,
Yang Xuan,
Xiao Mengnan,
Su Qiang,
Wan Mingxi
Publication year - 2019
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1002/mp.13358
Subject(s) - perfusion , medicine , kidney disease , ultrasound , hemodynamics , biomedical engineering , radiology , computer science
Purpose This 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. Method The flow process in the DCEUS ‐based PFI was modified step‐by‐step to improve its operational efficiency, which was validated through in vivo 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 PFI s to evaluate the sacrifice of imaging quality during modifications of DCEUS ‐based PFI . Results The 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 62.82 ± 1.07% ( P < 0.01) and the nine PFI s simultaneously maintained a similar CIQ of 0.26 ± 0.06. Conclusions The 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.