IV. In vivo measurements of proton relaxation times in human brain, liver, and skeletal muscle: A multicenter MRI study
References (11)
Protocols and test objects for the assessment of MRI equipment
Magn. Reson. Imaging
(1988)- et al.
Multi-center trial with protocols and prototype test objects for the assessment of MRI equipment
Magn. Reson. Imaging
(1988) - et al.
Performance assessment and quality control in MRI by Eurospin test objects and protocols
Magn. Reson. Imaging
(1993) - et al.
In vivo measurement of relaxation processes in human liver by MRI. The role of respiratory gating/triggering
Magn. Reson. Imaging
(1988) - et al.
A software program for exchanging MR data
Magn. Reson. Imaging
(1993)
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Skeletal muscular relaxation time from postmortem MR imaging of adult humans
2020, Forensic ImagingCitation Excerpt :Pearson's correlation coefficient was used to assess the relationships between T1 and T2 values on PMMR imaging, and the age, sex, rectal temperature and postmortem interval. This is because the MR relaxation time of living human skeletal muscle depends on age and gender [24-27], and rectal temperature and postmortem interval affect the relaxation time of organs on PMMR imaging [9-21]. Subsequently, multiple regression analysis was performed by setting four factors: rectal temperature, age, sex (male = 1, female = 0), and postmortem interval.
Oxygen-induced changes in longitudinal relaxation times in skeletal muscle
2008, Magnetic Resonance ImagingCitation Excerpt :The value of T1 for skeletal muscle during air-breathing is consistent with values quoted in the literature [18]. As an added reference, the value for normoxic T1 in liver was measured in Study 1 at 690±120 ms and in spleen at 1430±330 ms, and these values are also consistent with those in the literature [7,18]. The change in T1 from air-breathing to oxygen-breathing is consistently negative, and although it is small, it is statistically significant (with the use of a paired one-tailed Student t test, the P values ranged from P=.000045 to P=.0048; see Fig. 2).
Reducing inter-scanner variability of activation in a multicenter fMRI study: Role of smoothness equalization
2006, NeuroImageCitation Excerpt :Discussions in the planning and execution phases of multicenter studies can serve to bridge differences and to promote the development of consensus views. For these reasons, there have been a number of recent multicenter brain imaging studies in several domains: structural brain imaging (de Certaines et al., 1993; Van Haren et al., 2003; Schnack et al., 2004), magnetic resonance spectroscopy (Paley et al., 1996), magnetization transfer (Silver et al., 1999; Berry et al., 1999) and fMRI (Casey et al., 1998). The Biomedical Informatics Research Network (BIRN) is a National Center for Research Resources initiative that fosters distributed collaborations in biomedical science by utilizing information technology innovations (http://www.nbirn.net).
Magnetic resonance spectroscopy in medicine: Clinical impact
2002, Progress in Nuclear Magnetic Resonance SpectroscopyAssessment of scanner performance and normalization of estimated relaxation rate values
2001, Magnetic Resonance ImagingEstimation of the EEG power spectrum using MRI T<inf>2</inf> relaxation time in traumatic brain injury
2001, Clinical Neurophysiology