Accelerated dynamic contrast enhanced MRI based on region of interest compressed sensing Journal Article

Authors: Konar, A. S.; Vajuvalli, N. N.; Rao, R.; Jain, D.; Ramesh Babu, D. R.; Geethanath, S.
Article Title: Accelerated dynamic contrast enhanced MRI based on region of interest compressed sensing
Abstract: Magnetic Resonance Imaging (MRI) provides excellent soft tissue contrast with one significant limitation of slow data acquisition. Dynamic Contrast Enhanced MRI (DCE-MRI) is one of the widely employed techniques to estimate tumor tissue physiological parameters using contrast agents. DCE-MRI data acquisition and reconstruction requires high spatiotemporal resolution, especially during the post-contrast phase. The region of Interest Compressed Sensing (ROICS) is based on Compressed Sensing (CS) framework and works on the hypothesis that limiting CS to an ROI can achieve superior CS performance. In this work, ROICS has been demonstrated on breast DCE-MRI data at chosen acceleration factors and the results are compared with conventional CS implementation. Normalized Root Mean Square Error (NRMSE) was calculated to compare ROICS with CS quantitatively. CS and ROICS reconstructed images were used to compare Ktrans and ve values derived using standard Tofts Model (TM). This also validated the superior performance of ROICS over conventional CS. ROICS generated Concentration Time Curves (CTC's) at chosen acceleration factors follow similar trend as the ground truth data as compared to CS. Both qualitative and quantitative analyses show that ROICS outperforms CS particularly at acceleration factors of 5× and above. © 2019 Elsevier Inc.
Keywords: pharmacokinetic modeling; compressed sensing; breast cancer imaging; spatio-temporal resolution; accelerated mri
Journal Title: Magnetic Resonance Imaging
Volume: 67
ISSN: 0730-725X
Publisher: Elsevier Science, Inc.  
Date Published: 2020-04-01
Start Page: 18
End Page: 23
Language: English
DOI: 10.1016/j.mri.2019.11.014
PUBMED: 31751673
PROVIDER: scopus
Notes: Source: Scopus
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