Simultaneous mapping of $T_1$, $T_2$, $B_1$, $B_0$, and $M_0$ using multiple phase-cycled bSSFP with signal profile fitting approachbSSFP 다중 위상 사이클링을 이용한 신호모델 기반 $T_1, T_2, B_0, B_1, M_0$ 동시맵핑

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dc.contributor.advisorPark, Sung-Hong-
dc.contributor.advisor박성홍-
dc.contributor.authorUm, Ji-Yong-
dc.date.accessioned2018-06-20T06:17:11Z-
dc.date.available2018-06-20T06:17:11Z-
dc.date.issued2017-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675195&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/242980-
dc.description학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2017.2,[v, 40 p. :]-
dc.description.abstractAs contrast based images were influenced by acquisition methods and system condition, it might be inappropriate for inter-subject comparison, and longitudinal studies. Thus, for the purpose of improving the accuracy of clinical evaluations, quantitative MRI (qMRI) have been suggested to measure intrinsic tissue properties such as $T_1$ and $T_2$ relaxation times. Several conventional methods have been developed so far, however, these methods require a long scan time depending on scan parameters or pulse sequences. Also, a couple of imaging sequences are needed to acquire the multi-parameter maps. Hence, the simultaneous quantification methods are necessary to enhance the time-efficiency of the multi-parameter mapping. In this study, we proposed the simultaneous mapping of $T_1$, $T_2$, $B_1$, $B_0$, and $M_0$ (relative proton density) by adopting multiple phase-cycled balanced steady-state free precession (bSSFP) and a signal profile fitting algorithm based on the bSSFP signal formula. The estimated parameter maps from the proposed method were compared with those from the conventional methods through histogram and correlation analysis. The multi-parametric data sets could be effectively acquired with multiple phase-cycled bSSFP within a short time (~10min.). The proposed method provided parameter maps comparable to those from the conventional techniques, demonstrated in phantom and in-vivo experiments. The proposed method can be beneficial to many quantitative clinical applications.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectbalanced steady-state free precession-
dc.subjectphase cycling-
dc.subjectsimultaneous quantitative mapping-
dc.subjectcomplex data fitting-
dc.subjectparameter estimation-
dc.subject항정상태자유세차기법-
dc.subject위상 사이클링-
dc.subject동시 정량화-
dc.subject데이터 근사-
dc.subject변수 추정-
dc.titleSimultaneous mapping of $T_1$, $T_2$, $B_1$, $B_0$, and $M_0$ using multiple phase-cycled bSSFP with signal profile fitting approach-
dc.title.alternativebSSFP 다중 위상 사이클링을 이용한 신호모델 기반 $T_1, T_2, B_0, B_1, M_0$ 동시맵핑-
dc.typeThesis(Master)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :바이오및뇌공학과,-
dc.contributor.alternativeauthor엄지용-
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