Lidi Wan1,2, Wei Zhao1, Yajun Ma1, Saeed Jerban1, Adam C Searleman1, Michael Carl3, Eric Y Chang1,4, Guangyu Tang2, Jiang Du1. 1. Department of Radiology, University of California, San Diego, California. 2. Department of Radiology, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Shanghai, China. 3. GE Healthcare, San Diego, California. 4. Radiology Service, VA San Diego Healthcare System, San Diego, California.
Abstract
PURPOSE: To investigate the effect of stretching sampling window on quantitative 3D ultrashort TE (UTE) imaging of cortical bone at 3 T. METHODS: Ten bovine cortical bone and 17 human tibial midshaft samples were imaged with a 3T clinical MRI scanner using an 8-channel knee coil. Quantitative 3D UTE imaging biomarkers, including T1 , T 2 ∗ , magnetization transfer ratio and magnetization transfer modeling, were performed using radial or spiral Cones sampling trajectories with various durations. Errors in UTE-MRI biomarkers as a function of sampling time were evaluated using radial sampling as a reference standard. RESULTS: For both bovine and human cortical bone samples, no significant differences were observed for all UTE biomarkers (single-component T 2 ∗ , bicomponent T 2 ∗ and relative fractions, T1 , magnetization transfer ratio, and magnetization transfer modeling of macromolecular fraction) for spiral sampling windows of 992 µs to 1600 µs compared with a radial sampling window of 688 µs. CONCLUSION: The total scan time can be reduced by 76% with quantification errors less than 5%. Quantitative UTE-MRI techniques can be greatly accelerated using longer sampling windows without significant quantification errors.
PURPOSE: To investigate the effect of stretching sampling window on quantitative 3D ultrashort TE (UTE) imaging of cortical bone at 3 T. METHODS: Ten bovine cortical bone and 17 human tibial midshaft samples were imaged with a 3T clinical MRI scanner using an 8-channel knee coil. Quantitative 3D UTE imaging biomarkers, including T1 , T 2 ∗ , magnetization transfer ratio and magnetization transfer modeling, were performed using radial or spiral Cones sampling trajectories with various durations. Errors in UTE-MRI biomarkers as a function of sampling time were evaluated using radial sampling as a reference standard. RESULTS: For both bovine and human cortical bone samples, no significant differences were observed for all UTE biomarkers (single-component T 2 ∗ , bicomponent T 2 ∗ and relative fractions, T1 , magnetization transfer ratio, and magnetization transfer modeling of macromolecular fraction) for spiral sampling windows of 992 µs to 1600 µs compared with a radial sampling window of 688 µs. CONCLUSION: The total scan time can be reduced by 76% with quantification errors less than 5%. Quantitative UTE-MRI techniques can be greatly accelerated using longer sampling windows without significant quantification errors.
Authors: Hyungseok Jang; Annette von Drygalski; Jonathan Wong; Jenny Y Zhou; Peter Aguero; Xing Lu; Xin Cheng; Scott T Ball; Yajun Ma; Eric Y Chang; Jiang Du Journal: Magn Reson Med Date: 2020-07-14 Impact factor: 4.668
Authors: Behnam Namiranian; Saeed Jerban; Yajun Ma; Erik W Dorthe; Amir Masoud-Afsahi; Jonathan Wong; Zhao Wei; Yanjun Chen; Darryl D'Lima; Eric Y Chang; Jiang Du Journal: J Biomech Date: 2020-10-24 Impact factor: 2.712
Authors: Saeed Jerban; Yajun Ma; Jonathan H Wong; Amin Nazaran; Adam Searleman; Lidi Wan; Judith Williams; Jiang Du; Eric Y Chang Journal: Bone Date: 2019-03-12 Impact factor: 4.398
Authors: Saeed Jerban; Yajun Ma; Liang Li; Hyungseok Jang; Lidi Wan; Tan Guo; Adam Searleman; Eric Y Chang; Jiang Du Journal: Bone Date: 2019-06-05 Impact factor: 4.398
Authors: Saeed Jerban; Xing Lu; Erik W Dorthe; Salem Alenezi; Yajun Ma; Lena Kakos; Hyungseok Jang; Robert L Sah; Eric Y Chang; Darryl D'Lima; Jiang Du Journal: NMR Biomed Date: 2019-12-10 Impact factor: 4.044
Authors: Alecio F Lombardi; Zhao Wei; Jonathan Wong; Michael Carl; Roland R Lee; Mark Wallace; Koichi Masuda; Eric Y Chang; Jiang Du; Ya-Jun Ma Journal: NMR Biomed Date: 2021-07-05 Impact factor: 4.044