Baseline Correction of the Human 1H MRS(I) Spectrum Using T2* Selective Differential Operators in the Frequency Domain
- Authors
- Choi, Sang-Han; Ryu, Yeun-Chul; Chung, Jun-Young
- Issue Date
- Dec-2022
- Publisher
- MDPI
- Keywords
- baseline correction; differential filter; fat suppression; MRS(I); T2* selective filter; water suppression
- Citation
- Metabolites, v.12, no.12
- Journal Title
- Metabolites
- Volume
- 12
- Number
- 12
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/86505
- DOI
- 10.3390/metabo12121257
- ISSN
- 2218-1989
- Abstract
- The baseline distortion caused by water and fat signals is a crucial issue in the 1H MRS(I) study of the human brain. This paper suggests an effective and reliable preprocessing technique to calibrate the baseline distortion caused by the water and fat signals exhibited in the MRS spectral signal. For the preprocessing, we designed a T2* (or linewidth within the spectral signal) selective filter for the MRS(I) data based on differential filtering within the frequency domain. The number and types for the differential filtering were determined by comparing the T2* selectivity profile of each differential operator with the T2* profile of the metabolites to be suppressed within the MRS(I) data. In the performance evaluation of the proposed differential filtering, the simulation data for MRS spectral signals were used. Furthermore, the spectral signal of the human 1H MRSI data obtained by 2D free induction decay chemical shift imaging with a typical water suppression technique was also used in the performance evaluation. The absolute values of the average of the filtered dataset were quantitatively analyzed using the LCModel software. With the suggested T2* selective (not frequency selective) filtering technique, in the simulated MRS data, we removed the metabolites from the simulated MRS(I) spectral signal baseline distorted by the water and fat signal observed in the most frequency band. Moreover, in the obtained MRSI data, the quantitative analysis results for the metabolites of interest showed notable improvement in the uncertainty estimation accuracy, the CRLB (Cramer-Rao Lower Bound) levels.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 의과대학 > 의예과 > 1. Journal Articles
- 보건과학대학 > 방사선학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/86505)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.