The effect of scan parameters on T1, T2 relaxation times measured with multi-dynamic multi-echo sequence: a phantom study

Zheng, Zuofeng; Yang, Jiafei; Zhang, Dongpo; Ma, Jun; Yin, Hongpeng; Liu, Yawen; Wang, Zhenchang

doi:10.1007/s13246-022-01128-0

Cited by 3 publications

(7 citation statements)

References 25 publications

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“…27 However, lowering in-plane resolutions results in poorer image quality. Recently, Zheng et al's study showed that changing acquisition parameters including matrix, AF, and ETL has no obvious effect on measured T1, T2 values of gray matter, white matter, and cerebrospinal fluid simulation phantoms, 22 providing a basis for the optimization of fast scan parameters for human brain synthetic MRI.…”

Section: Discussionmentioning

confidence: 99%

“…A recent study showed that changing acquisition parameters have no obvious effect on measured T1, T2 values of gray matter, white matter, and cerebrospinal fluid simulation phantoms. 22 However, to the best of our knowledge, there are very few reports about fast imaging parameter-dependent changes of T1, T2, and PD measurements on normal human brain using synthetic MRI.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol

Zheng,

Liu,

Yin

et al. 2024

MRMS

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Synthetic MRI is being increasingly used for the quantification of brain longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD) values. However, the effect of fast imaging protocols on these quantitative values has not been fully estimated. The purpose of this study was to investigate the effect of fast scan parameters on T1, T2, and PD measured with a multi-dynamic multi-echo (MDME) sequence of normal brain at 3.0T. Thirty-four volunteers were scanned using 3 MDME sequences with different scan times (named Fast, 2 min, 29 sec; Routine, 4 min, 07 sec; and Research, 7 min, 46 sec, respectively). The measured T1, T2, and PD in 18 volumes of interest (VOI) of brain were compared between the 3 sequences using rank sum test, t test, coefficients of variation (CVs) analysis, correlation analysis, and Bland-Altman analysis. We found that even though T1, T2, and PD were significantly different between the 3 sequences in most of the brain regions, the intersequence CVs were relatively low and linear correlation were high. Bland-Altman plots showed that most of the values fall within the 95% prediction limits. We concluded that fast imaging protocols of MDME sequence used in our study can potentially be used for quantitative evaluation of brain tissues. Since changing scan parameters can affect the measured T1, T2, and PD values, it is necessary to use consistent scan parameter for comparing or following up cases quantitatively.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol

Zheng,

Liu,

Yin

et al. 2024

MRMS

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“…In previous study, the repeatability of fast synthetic MRI for measuring T1 and T2 relaxation times of GM, WM, and CSF simulation phantoms was investigated, and high repeatability was revealed for measuring these quantitative values. 26 However, the within-subject reliability has not been investigated for volunteers. Therefore, further studies are required to validate the repeatability using the synthetic MRI volumetry method.…”

Section: Discussionmentioning

confidence: 99%

“…Second, we did not evaluate the repeatability of the measured brain tissue volumes. In previous study, the repeatability of fast synthetic MRI for measuring T1 and T2 relaxation times of GM, WM, and CSF simulation phantoms was investigated, and high repeatability was revealed for measuring these quantitative values 26 . However, the within-subject reliability has not been investigated for volunteers.…”

Section: Discussionmentioning

confidence: 99%

Clinical Feasibility of Automated Brain Tissue and Myelin Volumetry of Normal Brian Using Synthetic Magnetic Resonance Imaging With Fast Imaging Protocol: A Single-Center Pilot Study

Zheng¹,

Yang

Zhang

et al. 2023

J Comput Assist Tomogr

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ObjectiveThis study aimed to investigate the clinical feasibility of synthetic magnetic resonance imaging (MRI) with fast imaging protocol for automated brain tissue and myelin volumetry in healthy volunteers at 3.0-T MRI.MethodsThirty-four healthy volunteers were scanned using synthetic MRI with 3 sets of scan parameters: groups Fast (FAS; 2 minutes, 29 seconds), Routine (ROU; 4 minutes, 7 seconds), and Research (RES; 7 minutes, 46 seconds). White matter (WM), gray matter (GM), cerebrospinal fluid (CSF), non-WM/GM/CSF (NoN), brain parenchymal volume (BPV), intracranial volume (ICV), and myelin volume (MYV) were compared between 3 groups. Linear correlation analysis was performed for measured volumes of groups FAS and ROU versus group RES.ResultsSignificant differences were found in all the measured brain tissue volumes between groups FAS and ROU (P < 0.001), FAS and RES (P < 0.05), and ROU and RES (P < 0.05), except for NoN between groups ROU and RES (P = 0.0673), ICV between groups FAS and ROU (P = 0.2552), and ICV between groups FAS and RES (P = 0.4898). The intergroup coefficients of variation were 4.36% for WM, 6.39% for GM, 10.14% for CSF, 67.5% for NoN, 1.21% for BPV, 0.08% for ICV, and 5.88% for MYV. Strong linear correlation was demonstrated for WM, GM, CSF, BPV, ICV, and MYV (R = 0.9230–1.131) between FAS versus RES, and ROU versus RES.ConclusionsUsing synthetic MRI with fast imaging protocol can change the measured brain tissue volumes of volunteers. It is necessary to use consistent acquisition protocols for comparing or following up cases quantitatively.

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“…The recently proposed synthetic MRI (syMRI) [ 18 – 20 ] uses a multiple-dynamic multiple-echo (MDME) acquisition method for simultaneous measurement of quantitative values including T1 and T2 relaxation time and proton-density (PD) mapping in one single scan, with the advantage of shorter scan time and independence of MRI scanners and parameters [ 21 , 22 ]. Several studies have confirmed the clinical utility of syMRI in malignancy identification [ 23 ], molecular typing [ 24 ], and therapeutic response assessment [ 25 , 26 ] in various cancers.…”

Section: Introductionmentioning

confidence: 99%

Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response

Jiang,

Du,

Gao

et al. 2023

Insights Imaging

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Background To evaluate the correlation between synthetic MRI (syMRI) relaxometry and apparent diffusion coefficient (ADC) maps in different breast cancer subtypes and treatment response subgroups. Methods Two hundred sixty-three neoadjuvant therapy (NAT)-treated breast cancer patients with baseline MRI were enrolled. Tumor annotations were obtained by drawing regions of interest (ROIs) along the lesion on T1/T2/PD and ADC maps respectively. Histogram features from T1/T2/PD and ADC maps were respectively calculated, and the correlation between each pair of identical features was analyzed. Meanwhile, features between different NAT treatment response groups were compared, and their discriminatory power was evaluated. Results Among all patients, 20 out of 27 pairs of features weakly correlated (r = – 0.13–0.30). For triple-negative breast cancer (TNBC), features from PD map in the pathological complete response (pCR) group (r = 0.60–0.86) showed higher correlation with ADC than that of the non-pCR group (r = 0.30–0.43), and the mean from the ADC and PD maps in the pCR group strongly correlated (r = 0.86). For HER2-positive, few correlations were found both in the pCR and non-pCR groups. For luminal HER2-negative, T2 map correlated more with ADC than T1 and PD maps. Significant differences were seen in T2 low percentiles and median in the luminal-HER2 negative subtype, yielding moderate AUCs (0.68/0.72/0.71). Conclusions The relationship between ADC and PD maps in TNBC may indicate different NAT responses. The no-to-weak correlation between the ADC and syMRI suggests their complementary roles in tumor microenvironment evaluation. Critical relevance statement The relationship between ADC and PD maps in TNBC may indicate different NAT responses, and the no-to-weak correlation between the ADC and syMRI suggests their complementary roles in tumor microenvironment evaluation. Key points • The relationship between ADC and PD in TNBC indicates different NAT responses. • The no-to-weak correlations between ADC and syMRI complementarily evaluate tumor microenvironment. • T2 low percentiles and median predict NAT response in luminal-HER2-negative subtype. Graphical Abstract

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The effect of scan parameters on T1, T2 relaxation times measured with multi-dynamic multi-echo sequence: a phantom study

Cited by 3 publications

References 25 publications

Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol

Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol

Clinical Feasibility of Automated Brain Tissue and Myelin Volumetry of Normal Brian Using Synthetic Magnetic Resonance Imaging With Fast Imaging Protocol: A Single-Center Pilot Study

Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response

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