Accelerated Isotropic Multiparametric Imaging by High Spatial Resolution 3D-QALAS With Compressed Sensing: A Phantom, Volunteer, and Patient Study. Issue 5 (May 2021)
- Record Type:
- Journal Article
- Title:
- Accelerated Isotropic Multiparametric Imaging by High Spatial Resolution 3D-QALAS With Compressed Sensing: A Phantom, Volunteer, and Patient Study. Issue 5 (May 2021)
- Main Title:
- Accelerated Isotropic Multiparametric Imaging by High Spatial Resolution 3D-QALAS With Compressed Sensing
- Authors:
- Fujita, Shohei
Hagiwara, Akifumi
Takei, Naoyuki
Hwang, Ken-Pin
Fukunaga, Issei
Kato, Shimpei
Andica, Christina
Kamagata, Koji
Yokoyama, Kazumasa
Hattori, Nobutaka
Abe, Osamu
Aoki, Shigeki - Abstract:
- Abstract : Objectives: The aims of this study were to develop an accelerated multiparametric magnetic resonance imaging method based on 3D-quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS) combined with compressed sensing (CS) and to evaluate the effect of CS on the quantitative mapping, tissue segmentation, and quality of synthetic images. Materials and Methods: A magnetic resonance imaging system phantom, containing multiple compartments with standardized T1, T2, and proton density (PD) values; 10 healthy volunteers; and 12 patients with multiple sclerosis were scanned using the 3D-QALAS sequence with and without CS and conventional contrast-weighted imaging. The scan times of 3D-QALAS with and without CS were 5:56 and 11:11, respectively. For healthy volunteers, brain volumetry and myelin estimation were performed based on the measured T1, T2, and PD. For patients with multiple sclerosis, the mean T1, T2, PD, and the amount of myelin in plaques and contralateral normal-appearing white matter (NAWM) were measured. Simple linear regression analysis and Bland-Altman analysis were performed for each metric obtained from the datasets with and without CS. To compare overall image quality and structural delineations on synthetic and conventional contrast-weighted images, case-control randomized reading sessions were performed by 2 neuroradiologists in a blinded manner. Results: The linearity of both phantom and volunteerAbstract : Objectives: The aims of this study were to develop an accelerated multiparametric magnetic resonance imaging method based on 3D-quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS) combined with compressed sensing (CS) and to evaluate the effect of CS on the quantitative mapping, tissue segmentation, and quality of synthetic images. Materials and Methods: A magnetic resonance imaging system phantom, containing multiple compartments with standardized T1, T2, and proton density (PD) values; 10 healthy volunteers; and 12 patients with multiple sclerosis were scanned using the 3D-QALAS sequence with and without CS and conventional contrast-weighted imaging. The scan times of 3D-QALAS with and without CS were 5:56 and 11:11, respectively. For healthy volunteers, brain volumetry and myelin estimation were performed based on the measured T1, T2, and PD. For patients with multiple sclerosis, the mean T1, T2, PD, and the amount of myelin in plaques and contralateral normal-appearing white matter (NAWM) were measured. Simple linear regression analysis and Bland-Altman analysis were performed for each metric obtained from the datasets with and without CS. To compare overall image quality and structural delineations on synthetic and conventional contrast-weighted images, case-control randomized reading sessions were performed by 2 neuroradiologists in a blinded manner. Results: The linearity of both phantom and volunteer measurements in T1, T2, and PD values obtained with and without CS was very strong ( R 2 = 0.9901–1.000). The tissue segmentation obtained with and without CS also had high linearity ( R 2 = 0.987–0.999). The quantitative tissue values of the plaques and NAWM obtained with CS showed high linearity with those without CS ( R 2 = 0.967–1.000). There were no significant differences in overall image quality between synthetic contrast-weighted images obtained with and without CS ( P = 0.17–0.99). Conclusions: Multiparametric imaging of the whole brain based on 3D-QALAS can be accelerated using CS while preserving tissue quantitative values, tissue segmentation, and quality of synthetic images. Abstract : Supplemental digital content is available in the text. … (more)
- Is Part Of:
- Investigative radiology. Volume 56:Issue 5(2021)
- Journal:
- Investigative radiology
- Issue:
- Volume 56:Issue 5(2021)
- Issue Display:
- Volume 56, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 56
- Issue:
- 5
- Issue Sort Value:
- 2021-0056-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-05
- Subjects:
- 3D-QALAS -- compressed sensing -- magnetic resonance imaging -- parallel imaging -- quantitative mapping -- synthetic MRI
Diagnosis, Radioscopic -- Periodicals
Radiology, Medical -- Periodicals
616.0757 - Journal URLs:
- http://journals.lww.com/investigativeradiology/pages/default.aspx ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/RLI.0000000000000744 ↗
- Languages:
- English
- ISSNs:
- 0020-9996
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4560.350000
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- 25591.xml