PMID- 30125389
OWN - NLM
STAT- MEDLINE
DCOM- 20191230
LR  - 20210525
IS  - 1522-2594 (Electronic)
IS  - 0740-3194 (Print)
IS  - 0740-3194 (Linking)
VI  - 81
IP  - 1
DP  - 2019 Jan
TI  - SNR-weighted regularization of ADC estimates from double-echo in steady-state 
      (DESS).
PG  - 711-718
LID - 10.1002/mrm.27436 [doi]
AB  - PURPOSE: To improve the homogeneity and consistency of apparent diffusion 
      coefficient (ADC) estimates in cartilage from the double-echo in steady-state 
      (DESS) sequence by applying SNR-weighted regularization during post-processing. 
      METHODS: An estimation method that linearizes ADC estimates from DESS is used in 
      conjunction with a smoothness constraint to suppress noise-induced variation in 
      ADC estimates. Simulations, phantom scans, and in vivo scans are used to 
      demonstrate how the method reduces ADC variability. Conventional 
      diffusion-weighted echo-planar imaging (DW EPI) maps are acquired for comparison 
      of mean and standard deviation (SD) of the ADC estimate. RESULTS: Simulations and 
      phantom scans demonstrated that the SNR-weighted regularization can produce 
      homogenous ADC maps at varying levels of SNR, whereas non-regularized maps only 
      estimate ADC accurately at high SNR levels. The in vivo maps showed that the 
      SNR-weighted regularization produced ADC maps with similar heterogeneity to maps 
      produced with standard DW EPI, but without the distortion of such reference 
      scans. CONCLUSION: A linear approximation of a simplified model of the 
      relationship between DESS signals allows for fast SNR-weighted regularization of 
      ADC maps that reduces estimation error in relatively short T(2) tissue such as 
      cartilage.
CI  - (c) International Society for Magnetic Resonance in Medicine.
FAU - Sveinsson, Bragi
AU  - Sveinsson B
AD  - A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 
      Charlestown, Massachusetts.
AD  - Department of Radiology, Harvard Medical School, Boston, Massachusetts.
AD  - Department of Physics, Harvard University, Cambridge, Massachusetts.
FAU - Gold, Garry E
AU  - Gold GE
AD  - Department of Radiology, Stanford University, Stanford, California.
FAU - Hargreaves, Brian A
AU  - Hargreaves BA
AD  - Department of Radiology, Stanford University, Stanford, California.
FAU - Yoon, Daehyun
AU  - Yoon D
AD  - Department of Radiology, Stanford University, Stanford, California.
LA  - eng
GR  - R01 EB002524/EB/NIBIB NIH HHS/United States
GR  - P41 EB015891/EB/NIBIB NIH HHS/United States
GR  - R01 AR063643/AR/NIAMS NIH HHS/United States
GR  - P41EB015891/NH/NIH HHS/United States
GR  - R01AR063643/NH/NIH HHS/United States
GR  - R01EB002524/NH/NIH HHS/United States
GR  - R01 AR077604/AR/NIAMS NIH HHS/United States
GR  - K24 AR062068/AR/NIAMS NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20180819
PL  - United States
TA  - Magn Reson Med
JT  - Magnetic resonance in medicine
JID - 8505245
SB  - IM
MH  - Algorithms
MH  - Cartilage/*diagnostic imaging
MH  - Computer Simulation
MH  - *Diffusion Magnetic Resonance Imaging
MH  - *Echo-Planar Imaging
MH  - Femur/diagnostic imaging
MH  - Healthy Volunteers
MH  - Humans
MH  - Image Interpretation, Computer-Assisted/*methods
MH  - Image Processing, Computer-Assisted/methods
MH  - Monte Carlo Method
MH  - Osteoarthritis/*diagnostic imaging
MH  - Phantoms, Imaging
MH  - Reproducibility of Results
MH  - *Signal-To-Noise Ratio
PMC - PMC6258287
MID - NIHMS974868
OTO - NOTNLM
OT  - DESS
OT  - cartilage
OT  - diffusion
OT  - osteoarthritis
OT  - steady-state
EDAT- 2018/08/21 06:00
MHDA- 2019/12/31 06:00
PMCR- 2020/01/01
CRDT- 2018/08/21 06:00
PHST- 2017/02/27 00:00 [received]
PHST- 2018/05/17 00:00 [revised]
PHST- 2018/06/07 00:00 [accepted]
PHST- 2018/08/21 06:00 [pubmed]
PHST- 2019/12/31 06:00 [medline]
PHST- 2018/08/21 06:00 [entrez]
PHST- 2020/01/01 00:00 [pmc-release]
AID - 10.1002/mrm.27436 [doi]
PST - ppublish
SO  - Magn Reson Med. 2019 Jan;81(1):711-718. doi: 10.1002/mrm.27436. Epub 2018 Aug 19.