PMID- 37025069
OWN - NLM
STAT- MEDLINE
DCOM- 20230608
LR  - 20230608
IS  - 1526-9914 (Electronic)
IS  - 1526-9914 (Linking)
VI  - 24
IP  - 6
DP  - 2023 Jun
TI  - Simultaneous spatial and temporal regularization in low-dose dynamic 
      contrast-enhanced CT cerebral perfusion studies.
PG  - e13983
LID - 10.1002/acm2.13983 [doi]
LID - e13983
AB  - PURPOSE: To apply total generalized variation (TGV) and its combination with 
      low-rank and sparse decomposition (LRSD) (LTGV) to cerebral perfusion studies 
      using low-dose dynamic contrast-enhanced (DCE) CT and to quantitatively evaluate 
      their performances through comparisons with those without any regularizers and 
      those of total variation (TV) and its combination with LRSD (LTV) using 
      simulation and clinical data. METHODS: The simulation study used a realistic 
      digital brain phantom. Low-dose DCE-CT images were reconstructed using the 
      regularizers and primal-dual algorithm. Subsequently, cerebral perfusion 
      parameter (CPP) images were generated from them. Thereafter, their quality was 
      evaluated based on the peak signal-to-noise ratio (PSNR) and structural 
      similarity index measure (SSIM). Further, the accuracy of CPP estimation was 
      evaluated through a linear regression analysis between the CPP values obtained by 
      the above regularizers and those obtained from the noise-free DCE-CT images. In 
      addition, the mean and standard deviation of the CPP were calculated (region 
      analysis). In the clinical study, low-dose DCE-CT images were generated using 
      normal-dose images acquired from a patient, and CPP images were generated from 
      them similar to that in the simulation study. RESULTS: When using LTV and LTGV, 
      both PSNR and SSIM were higher than those of the other methods with increasing 
      regularization parameter values. The results of the linear regression and region 
      analyses demonstrated that TGV generally exhibited the best performance, followed 
      by LTGV, and finally that of TV was significantly different from those of the 
      other regularizers. Despite an overall consistency between the simulation and 
      clinical results, certain inconsistencies appeared owing to the difference in 
      generating low-dose DCE-CT images. CONCLUSIONS: The results implied that TGV and 
      LTGV were useful in improving the accuracy of CPP estimation using low-dose 
      DCE-CT. This study provides an improved understanding of the performance of 
      regularizers and is expected to aid in the selection of a suitable regularizer 
      for low-dose DCE-CT perfusion studies.
CI  - (c) 2023 The Authors. Journal of Applied Clinical Medical Physics published by 
      Wiley Periodicals, LLC on behalf of The American Association of Physicists in 
      Medicine.
FAU - Murase, Kenya
AU  - Murase K
AD  - Department of Future Diagnostic Radiology, Graduate School of Medicine, Osaka 
      University, Suita, Osaka, Japan.
FAU - Nakamoto, Atsushi
AU  - Nakamoto A
AD  - Department of Future Diagnostic Radiology, Graduate School of Medicine, Osaka 
      University, Suita, Osaka, Japan.
FAU - Tomiyama, Noriyuki
AU  - Tomiyama N
AD  - Department of Diagnostic and Interventional Radiology, Graduate School of 
      Medicine, Osaka University, Suita, Osaka, Japan.
LA  - eng
PT  - Journal Article
DEP - 20230406
PL  - United States
TA  - J Appl Clin Med Phys
JT  - Journal of applied clinical medical physics
JID - 101089176
SB  - IM
MH  - Humans
MH  - *Image Processing, Computer-Assisted/methods
MH  - *Tomography, X-Ray Computed/methods
MH  - Brain
MH  - Signal-To-Noise Ratio
MH  - Phantoms, Imaging
MH  - Algorithms
MH  - Cerebrovascular Circulation
PMC - PMC10243341
OTO - NOTNLM
OT  - cerebral perfusion study
OT  - low-dose dynamic contrast-enhanced CT
OT  - low-rank and sparse decomposition
OT  - simultaneous spatial and temporal regularization
OT  - total generalized variation
OT  - total variation
COIS- The authors declare no competing interest.
EDAT- 2023/04/08 06:00
MHDA- 2023/06/08 06:42
PMCR- 2023/04/06
CRDT- 2023/04/07 01:43
PHST- 2023/03/18 00:00 [revised]
PHST- 2022/12/01 00:00 [received]
PHST- 2023/03/22 00:00 [accepted]
PHST- 2023/06/08 06:42 [medline]
PHST- 2023/04/08 06:00 [pubmed]
PHST- 2023/04/07 01:43 [entrez]
PHST- 2023/04/06 00:00 [pmc-release]
AID - ACM213983 [pii]
AID - 10.1002/acm2.13983 [doi]
PST - ppublish
SO  - J Appl Clin Med Phys. 2023 Jun;24(6):e13983. doi: 10.1002/acm2.13983. Epub 2023 
      Apr 6.