Literature DB >> 26423583

Modeling of T2* decay in vertebral bone marrow fat quantification.

Dimitrios C Karampinos1, Stefan Ruschke1, Michael Dieckmeyer1, Holger Eggers2, Hendrik Kooijman3, Ernst J Rummeny1, Jan S Bauer4, Thomas Baum1.   

Abstract

Bone marrow fat fraction mapping using chemical shift encoding-based water-fat separation is becoming a useful tool in investigating the association between bone marrow adiposity and bone health and in assessing cancer treatment-induced bone marrow damage. Vertebral bone marrow is characterized by short T2* relaxation times, which are in general different for the water and fat components and can confound fat quantification. The purpose of the present study is to compare different approaches to T2* correction in chemical shift encoding-based water-fat imaging of vertebral bone marrow using single-voxel MRS as reference. Eight-echo gradient-echo imaging and single-voxel MRS measurements were made on the spine (L3-L5) of 25 healthy volunteers. Different approaches were evaluated for correction of T2* effects: (a) single-T2* correction, (b) dual-T2* correction, (c) T2' correction using the a priori-known T2 from the MRS at each vertebral body and (d) T2' correction using the a priori-known T2 equal to previously measured average values. Dual-T2* correction resulted in noisier imaging fat fraction maps than single-T2* correction or T2' correction using a priori-known T2. Linear regression analysis between imaging and MRS fat fraction showed a slope significantly different from 1 when using single-T2* correction (R(2) = 0.96) or dual-T2* correction (R(2) = 0.87). T2' correction using the a priori-known T2 resulted in a slope not significantly different from 1, an intercept significantly different from 0 (between 2.4% and 3%) and R(2) = 0.96. Therefore, a T2' correction using a priori-known T2 can remove the fat fraction bias induced by the difference in T2* between water and fat components without degrading noise performance in fat fraction mapping of vertebral bone marrow.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  MRI; MRS; fat quantification; spine; vertebral bone marrow; water-fat separation

Mesh:

Year:  2015        PMID: 26423583     DOI: 10.1002/nbm.3420

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  19 in total

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Journal:  Eur Radiol       Date:  2018-01-08       Impact factor: 5.315

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Journal:  Eur Radiol       Date:  2018-06-01       Impact factor: 5.315

3.  Reliability of measuring the fat content of the lumbar vertebral marrow and paraspinal muscles using MRI mDIXON-Quant sequence.

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5.  Now is the time to start routinely using chemical shift imaging in the spine.

Authors:  Mark E Schweitzer
Journal:  Eur Radiol       Date:  2018-04-13       Impact factor: 5.315

6.  Differentiation of bone metastases from benign red marrow depositions of the spine: the role of fat-suppressed T2-weighted imaging compared to fat fraction map.

Authors:  Sekyoung Park; Jin Do Huh
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Review 7.  Marrow adipose tissue imaging in humans.

Authors:  Vibha Singhal; Miriam A Bredella
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8.  Measurement of vertebral bone marrow proton density fat fraction in children using quantitative water-fat MRI.

Authors:  Stefan Ruschke; Amber Pokorney; Thomas Baum; Holger Eggers; Jeffrey H Miller; Houchun H Hu; Dimitrios C Karampinos
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9.  Addressing metabolic heterogeneity in clear cell renal cell carcinoma with quantitative Dixon MRI.

Authors:  Yue Zhang; Durga Udayakumar; Ling Cai; Zeping Hu; Payal Kapur; Eun-Young Kho; Andrea Pavía-Jiménez; Michael Fulkerson; Alberto Diaz de Leon; Qing Yuan; Ivan E Dimitrov; Takeshi Yokoo; Jin Ye; Matthew A Mitsche; Hyeonwoo Kim; Jeffrey G McDonald; Yin Xi; Ananth J Madhuranthakam; Durgesh K Dwivedi; Robert E Lenkinski; Jeffrey A Cadeddu; Vitaly Margulis; James Brugarolas; Ralph J DeBerardinis; Ivan Pedrosa
Journal:  JCI Insight       Date:  2017-08-03

10.  Vertebral bone marrow T2* mapping using chemical shift encoding-based water-fat separation in the quantitative analysis of lumbar osteoporosis and osteoporotic fractures.

Authors:  Yannik Leonhardt; Florian T Gassert; Georg Feuerriegel; Felix G Gassert; Sophia Kronthaler; Christof Boehm; Alexander Kufner; Stefan Ruschke; Thomas Baum; Benedikt J Schwaiger; Marcus R Makowski; Dimitrios C Karampinos; Alexandra S Gersing
Journal:  Quant Imaging Med Surg       Date:  2021-08
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