Enhancing intravoxel incoherent motion parameter mapping in the brain using k‐b PCA. (28th September 2018)
- Record Type:
- Journal Article
- Title:
- Enhancing intravoxel incoherent motion parameter mapping in the brain using k‐b PCA. (28th September 2018)
- Main Title:
- Enhancing intravoxel incoherent motion parameter mapping in the brain using k‐b PCA
- Authors:
- Spinner, Georg R.
Schmidt, Johannes F.M.
von Deuster, Constantin
Federau, Christian
Stoeck, Christian T.
Kozerke, Sebastian - Abstract:
- Abstract : Intravoxel incoherent motion (IVIM) imaging of diffusion and perfusion parameters in the brain using parallel imaging suffers from local noise amplification. To address the issue, signal correlations in space and along the diffusion encoding dimension are exploited jointly using a constrained image reconstruction approach. IVIM imaging was performed on a clinical 3 T MR system with diffusion weighting along six gradient directions and 16 b ‐values encoded per direction across a range of 0–900 s/mm 2 . Data were collected in 11 subjects, retrospectively undersampled in k ‐space with net factors ranging from 2 to 6 and reconstructed using CG‐SENSE and the proposed k ‐ b PCA approach. Results of k ‐ b PCA and CG‐SENSE from retrospectively undersampled data were compared with those from the fully sampled reference. In addition, prospective single‐shot k ‐ b undersampling was implemented and data were acquired in five additional volunteers. IVIM parameter maps were derived using a segmented least‐squares method. The proposed k ‐ b PCA method outperformed CG‐SENSE in terms of reconstruction errors for effective undersampling factors of 3 and beyond. Undersampling artifacts were effectively removed with k ‐ b PCA up to sixfold undersampling. At net sixfold undersampling, relative errors (compared with the fully sampled reference) of image magnitude and IVIM parameters ( D, f and D * ) were (median ± interquartile range): 3.5 ± 3.7 versus 25.3 ± 25.8%, 2.7 ± 3.6 versusAbstract : Intravoxel incoherent motion (IVIM) imaging of diffusion and perfusion parameters in the brain using parallel imaging suffers from local noise amplification. To address the issue, signal correlations in space and along the diffusion encoding dimension are exploited jointly using a constrained image reconstruction approach. IVIM imaging was performed on a clinical 3 T MR system with diffusion weighting along six gradient directions and 16 b ‐values encoded per direction across a range of 0–900 s/mm 2 . Data were collected in 11 subjects, retrospectively undersampled in k ‐space with net factors ranging from 2 to 6 and reconstructed using CG‐SENSE and the proposed k ‐ b PCA approach. Results of k ‐ b PCA and CG‐SENSE from retrospectively undersampled data were compared with those from the fully sampled reference. In addition, prospective single‐shot k ‐ b undersampling was implemented and data were acquired in five additional volunteers. IVIM parameter maps were derived using a segmented least‐squares method. The proposed k ‐ b PCA method outperformed CG‐SENSE in terms of reconstruction errors for effective undersampling factors of 3 and beyond. Undersampling artifacts were effectively removed with k ‐ b PCA up to sixfold undersampling. At net sixfold undersampling, relative errors (compared with the fully sampled reference) of image magnitude and IVIM parameters ( D, f and D * ) were (median ± interquartile range): 3.5 ± 3.7 versus 25.3 ± 25.8%, 2.7 ± 3.6 versus 14.2 ± 20.4%, 15.1 ± 26.1 versus 96.6 ± 67.4% and 14.8 ± 26.6 versus 100 ± 195.1% for k ‐ b PCA versus CG‐SENSE, respectively. Acquisition with sixfold prospective undersampling yielded average IVIM parameters in the brain of 0.79 ± 0.18 × 10 −3 mm 2 /s for D, 7.35 ± 7.27% for f and 7.11 ± 2.39 × 10 −3 mm 2 /s for D * . Constrained reconstruction using k ‐ b PCA improves IVIM parameter mapping from undersampled data when compared with CG‐SENSE reconstruction. Prospectively undersampled single‐shot echo planar imaging acquisition was successfully employed using k ‐ b PCA, demonstrating a reduction of image artifacts and noise relative to parallel imaging. … (more)
- Is Part Of:
- NMR in biomedicine. Volume 31:Number 12(2018)
- Journal:
- NMR in biomedicine
- Issue:
- Volume 31:Number 12(2018)
- Issue Display:
- Volume 31, Issue 12 (2018)
- Year:
- 2018
- Volume:
- 31
- Issue:
- 12
- Issue Sort Value:
- 2018-0031-0012-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2018-09-28
- Subjects:
- diffusion methods -- normal brain -- perfusion and permeability methods -- reconstruction
Nuclear magnetic resonance -- Periodicals
Magnetic Resonance Spectroscopy -- Periodicals
574 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/nbm.4008 ↗
- Languages:
- English
- ISSNs:
- 0952-3480
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6113.931000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8791.xml