title: High temporal resolution dynamic contrast-enhanced MRI using compressed sensing-combined sequence in quantitative renal perfusion measurement.
abstract: OBJECTIVE
  To demonstrate the feasibility of the improved temporal resolution by using compressed sensing (CS) combined imaging sequence in dynamic contrast-enhanced MRI (DCE-MRI) of kidney, and investigate its quantitative effects on renal perfusion measurements.
  
  
  METHODS
  Ten rabbits were included in the accelerated scans with a CS-combined 3D pulse sequence. To evaluate the image quality, the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were compared between the proposed CS strategy and the conventional full sampling method. Moreover, renal perfusion was estimated by using the separable compartmental model in both CS simulation and realistic CS acquisitions.
  
  
  RESULTS
  The CS method showed DCE-MRI images with improved temporal resolution and acceptable image contrast, while presenting significantly higher SNR than the fully sampled images (p<.01) at 2-, 3- and 4-X acceleration. In quantitative measurements, renal perfusion results were in good agreement with the fully sampled one (concordance correlation coefficient=0.95, 0.91, 0.88) at 2-, 3- and 4-X acceleration in CS simulation. Moreover, in realistic acquisitions, the estimated perfusion by the separable compartmental model exhibited no significant differences (p>.05) between each CS-accelerated acquisition and the full sampling method.
  
  
  CONCLUSIONS
  The CS-combined 3D sequence could improve the temporal resolution for DCE-MRI in kidney while yielding diagnostically acceptable image quality, and it could provide effective measurements of renal perfusion.
authors.affiliation: Academy for Advanced Interdisciplinary Studies, Peking University, 100871, Beijing, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Chen
authors.affiliation: Dept. of Radiology, Peking University First Hospital, 100034, Beijing, China.
authors.forename: Kai
authors.initials: K
authors.lastname: Zhao
authors.affiliation: College of Engineering, Peking University, 100871, Beijing, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Li
authors.affiliation: Dept. of Radiology, Peking University First Hospital, 100034, Beijing, China.
authors.forename: Wenchao
authors.initials: W
authors.lastname: Cai
authors.affiliation: Academy for Advanced Interdisciplinary Studies, Peking University, 100871, Beijing, China; Dept. of Radiology, Peking University First Hospital, 100034, Beijing, China.
authors.forename: Xiaoying
authors.initials: X
authors.lastname: Wang
authors.affiliation: Academy for Advanced Interdisciplinary Studies, Peking University, 100871, Beijing, China; College of Engineering, Peking University, 100871, Beijing, China. Electronic address: zhangjue@pku.edu.cn.
authors.forename: Jue
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Academy for Advanced Interdisciplinary Studies, Peking University, 100871, Beijing, China; College of Engineering, Peking University, 100871, Beijing, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Fang
mesh_terms: D000818:Animals; D001783:Blood Flow Velocity / Q000502:physiology*; D044962:Data Compression / Q000379:methods*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000379:methods*; D008297:Male; D011817:Rabbits; D012077:Renal Artery / Q000033:anatomy & histology / Q000502:physiology*; D012079:Renal Circulation / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: Compressed sensing; DCE-MRI; Kidney; Perfusion; Temporal resolution