T2 Decay Research Articles

Post-correctional improvement of T2-weighted fast spin echo magnetic resonance imaging pulse sequence for detecting high intensity focused ultrasound thermal lesions

High intensity focused ultrasound (HIFU) is a non-invasive therapy that induces heat in a small, localized volume of cancerous tissue without damaging neighbouring vital structures and cells. Precise targeting and treatment monitoring is typically achieved by pairing HIFU with an imaging modality such as magnetic resonance imaging (MRI). The most commonly used MRI pulse sequence for detecting HIFU thermal lesions is the T2-weighted fast spin echo (T2W-FSE) pulse sequence as it provides good contrast between normal and coagulated tissue. The drawbacks of the T2W-FSE pulse sequence are the manifestation of ringing artifacts and the loss of spatial resolution due to the signal modulation in k-space caused by the T2 decay. The inverse Fourier transform (IFT) multiplication scheme aims to remove the signal modulation by incorporating an inverse filter, which is an inverse of the signal modulation trend present in the k-space, to reduce the effects of T2 decay and improve image quality. In this study, four inverse filters (named as regular, narrow, wide, and compound) were developed and implemented on T2W-FSE MR images of ex vivo porcine muscle tissue with HIFU induced thermal lesion using a 0.55 T benchtop MRI research system (Pure Devices, Rimpar, Germany). Offline processing and enhancement of MR images of ex vivo porcine muscle tissue with HIFU induced thermal lesion using the narrow filter yielded the largest improvements of 13.8 ± 2.5 %, 17.0± 2.3 %, and 14.4± 1.1 % in lateral and axial spatial resolutions, and lesion signal-to-noise ratio (SNR), respectively, compared to the original images. Our results indicate an amplification of the signals in k-space and a reduction in the exponential signal modulation caused by T2 decay. These results also indicate the potential of the IFT multiplication scheme as an image processing method to improve thermal lesion detectability in MR-guided HIFU procedures.

Blue shifted phosphorescence (3LE) as compared to charge transfer singlet emission (1CT) in fluorenone-amine dyads under ambient conditions

In pure organics, room temperature phosphorescence (RTP) can be enhanced by effective inter system crossing (ISC, from S1→T1) and fast radiative decay of T1. According to El-Sayed rule, ISC is quite fast when a transition between singlet and triplet involves the change of molecular orbitals i.e. 1(π,π*)→3(n,π*) or 1(n,π*)→3(π,π*). Therefore, conjugated organics having non-bonding electrons from carbonyl group or heteroatoms (O, N, S, Se, etc.) are expected to facilitate strong spin-orbit coupling and faster ISC. In this work, we synthesized metal-free organics composed of fluorenone core-secondary amine (Flu-Ph-CBZ, Flu-PNA and Flu-DNA) for harvesting both singlet and triplet excitons. The carbonyl group in the rigid aromatic planar fluorene core provides non-bonding electrons and acts as an electron acceptor moiety. These donor-acceptor based materials showed blue shifted phosphorescence maxima (T1→S0) as compared to their fluorescence emission (1CT→So), a very uncommon phenomenon. From our photophysical studies, ΔE (1LE-3LE) for Flu-Ph-CBZ, Flu-PNA and Flu-DNA are found to be 0.52, 0.23, and 1.20 eV, respectively. Similarly, ΔE (1CT-3LE) for Flu-Ph-CBZ, Flu-PNA and Flu-DNA are found to be 0.24, 0.19 and 0.53 eV, respectively. Flu-Ph-CBZ shows TADF like emission in Me-THF and phosphorescence in PMMA doped film under ambient conditions. Powder samples of Flu-PNA and Flu-DNA are showing room temperature phosphorescence under air. Phosphorescence lifetimes in powder sample was found to be ∼15 and 56 µs, respectively for Flu-PNA and Flu-DNA.

Voxel-Wise Fusion of 3T and 7T Diffusion MRI Data to Extract more Accurate Fiber Orientations.

While 7T diffusion magnetic resonance imaging (dMRI) has high spatial resolution, its diffusion imaging quality is usually affected by signal loss due to B1 inhomogeneity, T2 decay, susceptibility, and chemical shift. In contrast, 3T dMRI has relative higher diffusion angular resolution, but lower spatial resolution. Combination of 3T and 7T dMRI, thus, may provide more detailed and accurate information about the voxel-wise fiber orientations to better understand the structural brain connectivity. However, this topic has not yet been thoroughly explored until now. In this study, we explored the feasibility of fusing 3T and 7T dMRI data to extract voxel-wise quantitative parameters at higher spatial resolution. After 3T and 7T dMRI data was preprocessed, respectively, 3T dMRI volumes were coregistered into 7T dMRI space. Then, 7T dMRI data was harmonized to the coregistered 3T dMRI B0 (b = 0) images. Last, harmonized 7T dMRI data was fused with 3T dMRI data according to four fusion rules proposed in this study. We employed high-quality 3T and 7T dMRI datasets (N = 24) from the Human Connectome Project to test our algorithms. The diffusion tensors (DTs) and orientation distribution functions (ODFs) estimated from the 3T-7T fused dMRI volumes were statistically analyzed. More voxels containing multiple fiber populations were found from the fused dMRI data than from 7T dMRI data set. Moreover, extra fiber directions were extracted in temporal brain regions from the fused dMRI data at Otsu's thresholds of quantitative anisotropy, but could not be extracted from 7T dMRI dataset. This study provides novel algorithms to fuse intra-subject 3T and 7T dMRI data for extracting more detailed information of voxel-wise quantitative parameters, and a new perspective to build more accurate structural brain networks.

Real-time tracking of coherent oscillations of electrons in a nanodevice by photo-assisted tunnelling

Coherent collective oscillations of electrons excited in metallic nanostructures (localized surface plasmons) can confine incident light to atomic scales and enable strong light-matter interactions, which depend nonlinearly on the local field. Direct sampling of such collective electron oscillations in real-time is crucial to performing petahertz scale optical modulation, control, and readout in a quantum nanodevice. Here, we demonstrate real-time tracking of collective electron oscillations in an Au bowtie nanoantenna, by recording photo-assisted tunnelling currents generated by such oscillations in this quantum nanodevice. The collective electron oscillations show a noninstantaneous response to the driving laser fields with a T2 decay time of nearly 8 femtoseconds. The contributions of linear and nonlinear electron oscillations in the generated tunnelling currents were precisely determined. A phase control of electron oscillations in the nanodevice is illustrated. Functioning in ambient conditions, the excitation, phase control, and read-out of coherent electron oscillations pave the way toward on-chip light-wave electronics in quantum nanodevices.

Unexpected longer T1 lifetime of 6-sulfur guanine than 6-selenium guanine: the solvent effect of hydrogen bonds to brake the triplet decay.

The decay of the T1 state to the ground state is an essential property of photosensitizers because it decides the lifetime of excited states and, thus, the time window for sensitization. The sulfur/selenium substitution of carbonyl groups can red-shift absorption spectra and enhance the triplet yield because of the large spin-orbit coupling, modifying nucleobases to potential photosensitizers for various applications. However, replacing sulfur with selenium will also cause a much shorter T1 lifetime. Experimental studies found that the triplet decay rate of 6-seleno guanine (6SeGua) is 835 times faster than that of 6-thio guanine (6tGua) in aqueous solution. In this work, we reveal the mechanism of the T1 decay difference between 6SeGua and 6tGua by computing the activation energy and spin-orbit coupling for rate calculation. The solvent effect of water is treated with explicit microsolvation and implicit solvent models. We find that the hydrogen bond between the sulfur atom of 6tGua and the water molecule can brake the triplet decay, which is weaker in 6SeGua. This difference is crucial to explain the relatively long T1 lifetime of 6tGua in an aqueous solution. This insight emphasizes the role of solvents in modulating the excited state dynamics and the efficiency of photosensitizers, particularly in aqueous environments.

Development and comprehensive evaluation of high‐resolution 0.5 mm isotropic T2‐weighted, PD‐weighted, T2 map and FLAIR templates of the MIITRA atlas.

AbstractBackgroundVoxel‐wise, disease‐monitoring and other MRI investigations involving T2‐weighted(T2w), PD‐weighted(PDw), T2 map and FLAIR templates typically utilize young adult templates such as those of the ICBM atlas. Moreover, a comprehensive assessment of how such available standardized templates perform on aging population has not yet been performed. Here, a high‐resolution older‐adult population based T2w, PDw T2 map and FLAIR templates of the MIITRA atlas was developed using theories of super‐resolution and sparse‐representation and compared to other available standardized templates in terms of image quality, spatial normalization accuracy and representativeness of the older adult brain.MethodT1‐weighted MPRAGE of isotropic 1mm resolution, five spin‐echo(0.5×0.5×0.5 mm3,TE = 20,40,60,80,100ms) and FLAIR data (0.5×0.5×4 mm3) were collected on 3T MRI scanners for 400 non‐demented older adults (50% male; 65‐95 years of age, 54% white and 43% black) participating in the construction of the MIITRA atlas. The subject T2 maps and PD‐weighted data were computed by fitting the T2 decay equation. The template construction technique involved upsampling the images to 0.5×0.5×0.5 mm3 using non‐local upsampling, and converting the T2‐weighted(TE = 60ms) to synthetic T1‐weighted, followed by linear registration to upsampled T1‐weighted data using ANTs. Next, the resulting transformations concatenated with the combined iterative T1w and DTI driven MIITRA atlas deformations were used to forward map each participant to exact physical locations in the MIITRA space. Finally, sparse representation data fusion technique was utilized on the transformed signals to construct the templates at isotropic 0.5mm resolution (Figure.1). MIITRA third echo T2‐weighted and FLAIR template was compared to available standardized templates (Figure. 2) in terms of inter‐subject spatial normalization accuracy when used for spatial normalization of 400 ADNI T2‐weighted and FLAIR participants respectively.ResultThe T2‐weighted and FLAIR templates of the MIITRA atlas exhibited higher image sharpness exemplified by higher spatial frequency content of the normalized power spectra(Figure. 2). MIITRA templates demonstrated higher inter‐subject spatial normalization accuracy and required the least deformations for spatial normalization of ADNI data(Figure. 3)ConclusionThe new T2w, PDw, and FLAIR templates of the MIITRA atlas exhibited superior image quality, required lower deformations, facilitating higher spatial normalization accuracy for use in studies on older adults such as the ADNI datasets.

Deeply Accelerated Arterial Spin Labeling Perfusion MRI for Measuring Cerebral Blood Flow and Arterial Transit Time.

Cerebral blood flow (CBF) indicates both vascular integrity and brain function. Regional CBF can be non-invasively measured with arterial spin labeling (ASL) perfusion MRI. By repeating the same ASL MRI sequence several times, each with a different post-labeling delay (PLD), another important neurovascular index, the arterial transit time (ATT) can be estimated by fitting the acquired ASL signal to a kinetic model. This process however faces two challenges: one is the multiplicatively prolonged scan time, making it impractically for clinical use due to the escalated risk of motions; the other is the reduced signal-to-noise-ratio (SNR) in the long PLD scans due to the T1 decay of the labeled spins. Increasing SNR needs more repetitions which will further increase the total scan time. Currently, there lacks a way to accurately estimate ATT from a parsimonious number of PLDs. In this paper, we proposed a deep learning-based algorithm to reduce the number of PLDs and to accurately estimate ATT and CBF. Two separate deep networks were trained: one is designed to estimate CBF and ATT from ASL data with a single PLD; the other is to estimate CBF and ATT from ASL data with two PLDs. The models were trained and tested using the large Human Connectome Project multiple-PLD ASL MRI. Performance of the DL-based approach was compared to the traditional full dataset-based data fitting approach. Our results showed that ATT and CBF can be reliably estimated using deep networks even with one PLD.

A dual-core NMR system for field-cycling singlet assisted diffusion NMR.

Long-lived singlet spin order offers the possibility to extend the spin memory by more than an order of magnitude. This enhancement can be used, among other applications, to assist NMR diffusion experiments in porous media where the extended lifetime of singlet spin order can be used to gain information about structural features of the medium as well as the dynamics of the imbibed phase. Other than offering the possibility to explore longer diffusion times of the order of many minutes that, for example, gives unprecedented access to tortuosity in structures with interconnected pores, singlet order has the important advantage to be immune to the internal field gradients generated by magnetic susceptibility inhomogeneities. These inhomogeneities, however, are responsible for very short T2 decay constants in high magnetic field and this precludes access to the singlet order in the first instance. To overcome this difficulty and take advantage of singlet order in diffusion experiments in porous media, we have here developed a dual-core system with radiofrequency and 3-axis pulsed field gradients facilities in low magnetic field, for preparation and manipulation of singlet order and a probe, in high magnetic field, for polarisation and detection. The system operates in field-cycling and can be used for a variety of NMR experiments including diffusion tensor imaging (both singlet assisted and not). In this paper we present and discuss the new hardware and its calibration, and demonstrate its capabilities through a variety of examples.

Optimized Unilateral Magnetic Resonance Sensor with Constant Gradient and Its Applications in Composite Insulators

In this study, an optimized unilateral magnetic resonance sensor with a three-magnet array is presented for assessing the aging of composite insulators in power grids. The sensor’s optimization involved enhancing the static magnetic field strength and the homogeneity of the RF field while maintaining a constant gradient in the direction of the vertical sensor surface and maximizing homogeneity in the horizontal direction. The center layer of the target area was positioned 4 mm from the coil’s upper surface, resulting in a magnetic field strength of 139.74 mT at the center point of the area, with a gradient of 2.318 T/m and a corresponding hydrogen atomic nuclear magnetic resonance frequency of 5.95 MHz. The magnetic field uniformity over a 10 mm × 10 mm range on the plane was 0.75%. The sensor measured 120 mm × 130.5 mm × 76 mm and weighed 7.5 kg. Employing the optimized sensor, magnetic resonance assessment experiments were conducted on composite insulator samples utilizing the CPMG (Carr–Purcell–Meiboom–Gill) pulse sequence. The T2 distribution provided visualizations of the T2 decay in insulator samples with different degrees of aging.

Locating Two-Level Systems in a Superconducting Xmon Qubit

One significant source of decoherence in superconducting circuits is known as two-level systems (TLSs), found in amorphous oxide layers. These circuits can, however, also be utilized as spectral and temporal TLS probes. Comprehensive investigations on the physics of TLSs are now possible thanks to recent advancements in superconducting qubits. Here, we simultaneously measure the tunable Xmon qubit decoherence time as well as the resonance frequency for more than 3 days to investigate stochastic fluctuations. Time-domain Allan deviation and frequency-domain power spectral density analysis indicate that two TLSs in near resonance with the qubit are responsible for the fluctuations. From the extracted oscillation in T1 decay, we locate the two TLSs near the junctions.

Silver Nanoclusters Tunable Visible Emission and Energy Transfer to Yb3+ Ions in Co-Doped GeO2-PbO Glasses for Photonic Applications.

This work investigates the optical properties of Yb3+ ions doped GeO2-PbO glasses containing Ag nanoclusters (NCs), produced by the melt-quenching technique. The lack in the literature regarding the energy transfer (ET) between these species in these glasses motivated the present work. Tunable visible emission occurs from blue to orange depending on the Yb3+ concentration which affects the size of the Ag NCs, as observed by transmission electron microscopy. The ET mechanism from Ag NCs to Yb3+ ions (2F7/2 → 2F5/2) was attributed to the S1→T1 decay (spin-forbidden electronic transition between singlet-triplet states) and was corroborated by fast and slow lifetime decrease (at 550 nm) of Ag NCs and photoluminescence (PL) growth at 980 nm, for excitations at 355 and 405 nm. The sample with the highest Yb3+ concentration exhibits the highest PL growth under 355 nm excitation, whereas at 410 nm it is the sample with the lowest concentration. The restriction of Yb3+ ions to the growth of NCs is responsible for these effects. Thus, higher Yb3+ concentration forms smaller Ag NCs, whose excitation at 355 nm leads to more efficient ET to Yb3+ ions compared to 410 nm. These findings have potential applications in the visible to near-infrared regions, such as tunable CW laser sources and photovoltaic devices.

New Insights into the Spread of MRS-Based Water T2 Values Observed in Highly Fatty Replaced Muscles.

The reference standard for assessing water T2 (T2,H2O ) at high fat fraction (FF) is 1 H MRS. T2,H2O (T2,H2O,MRS ) dependence on FF (FFMRS ) has recently been demonstrated in muscle at high FF (i.e. ≥60%). To investigate the relationship between T2,H2O,MRS and FFMRS in the thigh/leg muscles of patients with neuromuscular diseases and to compare with quantitative MRI. Retrospective case-control study. A total of 151 patients with neuromuscular disorders (mean age ± standard deviation = 52.5 ± 22.6 years, 54% male), 44 healthy volunteers (26.5 ± 13.0 years, 57% male). A 3-T; single-voxel stimulated echo acquisition mode (STEAM) MRS, multispin echo (MSE) imaging (for T2 mapping, T2,H2O,MRI ), three-point Dixon imaging (for FFMRI and mapping). Mono-exponential and bi-exponential models were fitted to water T2 decay curves to extract T2,H2O,MRS and FFMRS . Water resonance full-width-at-half-maximum (FWHM) and B0 spread (∆B0 ) values were calculated. T2,H2O,MRI (mean), FFMRI (mean, kurtosis, and skewness), and (mean) values were estimated in the MRS voxel. Mann-Whitney U tests, Kruskal-Wallis tests. A P-value <0.05 was considered statistically significant. Normal T2,H2O,MRS threshold was defined as the 90th percentile in healthy controls: 30.3 msec. T2,H2O,MRS was significantly higher in all patients with FFMRS < 60% compared to healthy controls. We discovered two subgroups in patients with FFMRS ≥ 60%: one with T2,H2O,MRS ≥ 30.3 msec and one with T2,H2O,MRS < 30.3 msec including abnormally low T2,H2O,MRS . The latter subgroup had significantly higher water resonance FWHM, ∆B0 , FFMRI kurtosis, and skewness values but nonsignificantly different (P = 1.00) and long T2,H2O,MRS component and its fraction (P > 0.11) based on the bi-exponential analysis. The findings suggest that the cause for (abnormally) T2,H2O,MRS at high FFMRS is biophysical, due to differences in susceptibility between muscle and fat (increased FWHM and ∆B0 ), rather than pathophysiological such as compartmentation changes, which would be reflected by the bi-exponential analysis. 3 TECHNICAL EFFICACY: Stage 3.

The distortions of the free water model for diffusion MRI data when assuming single compartment relaxometry and proton density

Objective. To document the bias of the simplified free water model of diffusion MRI (dMRI) signal vis-à-vis a specific model which, in addition to diffusion, incorporates compartment-specific proton density (PD), T1 recovery during repetition time (TR), and T2 decay during echo time (TE). Approach. Both models assume that volume fraction f of the total signal in any voxel arises from the free water compartment (fw) such as cerebrospinal fluid or edema, and the remainder (1-f) from hindered water (hw) which is constrained by cellular structures such as white matter (WM). The specific and simplified models are compared on a synthetic dataset, using a range of PD, T1 and T2 values. We then fit the models to an in vivo healthy brain dMRI dataset. For both synthetic and in vivo data we use experimentally feasible TR, TE, signal-to-noise ratio (SNR) and physiologically plausible diffusion profiles. Main results. From the simulations we see that the difference between the estimated simplified f and specific f is largest for mid-range ground-truth f, and it increases as SNR increases. The estimation of volume fraction f is sensitive to the choice of model, simplified or specific, but the estimated diffusion parameters are robust to small perturbations in the simulation. Specific f is more accurate and precise than simplified f. In the white matter (WM) regions of the in vivo images, specific f is lower than simplified f. Significance. In dMRI models for free water, accounting for compartment specific PD, T1 and T2, in addition to diffusion, improves the estimation of model parameters. This extra model specification attenuates the estimation bias of compartmental volume fraction without affecting the estimation of other diffusion parameters.

Positive association of Cerebral Amyloid Angiopathy (CAA) with R2 Relaxation rate: A study of ex‐vivo MRI and pathology

AbstractBackgroundCerebral amyloid angiopathy (CAA) is characterized by deposition of amyloid‐β in the walls of cortical and leptomeningeal small vessels. CAA is common in older adults and has been associated with cognitive decline and dementia. In this work, the association of CAA with the transverse relaxation rate R2 values in a large community‐based cohort of older adults was investigated.MethodCerebral hemispheres from 797 participants of three cohort studies of aging, the Rush Memory and Aging Project, the Minority Aging Research Study, and the Religious Orders Study (Figure 1) were included in this work. All hemispheres were imaged ex‐vivo at approximately 30 days postmortem using 3T clinical MRI scanners. Each scan included a multi‐echo spin‐echo sequence, and in each voxel, the signals from the different echoes were used to fit a mono‐exponential T2 decay equation (R2 is the reciprocal of T2). The resulting R2 maps were registered to an ex‐vivo brain hemisphere template using ANTS. Following the MRI scan, each hemisphere underwent thorough neuropathologic evaluation (Figure 2). The assessed pathologies were: CAA, Alzheimer’s pathology, LATE‐NC, hippocampal sclerosis (HS), Lewy bodies, arteriolosclerosis, atherosclerosis, gross and microscopic infarcts.Voxel‐wise linear regression was conducted to test the association of R2 with CAA, controlling for all other neuropathologies listed above, demographics (age at death, sex, education), and other variables (postmortem interval to immersion in fixative, postmortem interval to ex‐vivo MRI, scanners). Statistical analysis was done using PALM with tail‐accelerated 1000 permutations, threshold‐free cluster enhancement, and family‐wise error rate correction. Statistical significance was set at p&lt;0.05.ResultThe voxel‐wise analysis revealed a spatial pattern of higher R2 values for higher CAA burden (Figure 3). The pattern included subcortical structures such as the caudate, putamen, nucleus accumbens, hippocampus, regions in the insula, anterior cingulate cortex, orbitofrontal cortex, and superior frontal cortex (Figure 3). No voxel showed a negative association between R2 values and CAA burden.ConclusionOur work showed that CAA is associated with higher R2 among older adults, independent of other neuropathologies and demographic factors. The spatial pattern for this association derived from the voxel‐wise analysis included subcortical and frontal lobe structures.

Development and systematic evaluation of high resolution PD‐weighted, T2‐weighted, and T2 map templates of the MIITRA atlas for use in studies on older adults

AbstractBackgroundAtlas based MRI investigations involving PD‐weighted (PDw), T2‐weighted (T2w) MRI sequences on older adults typically utilized younger adult templates such as those of the ICBM. Additionally, a thorough quantitative assessment of how available standardized PDw and T2w templates perform on aging population has not yet been performed. Here a new standardized high resolution PDw, T2w and T2 map templates of the MIITRA atlas dedicated for studies on older adults was developed using concepts of super‐resolution and sparse‐representation and compared to other available standardized templates in terms of image quality, inter‐subject spatial normalization accuracy and representativeness of the older adult brain.MethodT2‐weighted multi‐echo spin‐echo brain MRI (0.5mmx0.5mmx3mm isotropic, TE=20,40,60,80,100ms) and its corresponding T1‐weighted (isotropic 1mm) data obtained from the 400 non‐demented older adults (65‐95 age range, male:female=1:1) participating in the construction of the MIITRA atlas were used in this work. Additionally, subject T2 maps were constructed by fitting the T2 decay equation. The template construction involved reconstruction of high resolution voxels of T2‐weighted data utilizing nonlocal super‐resolution upsampling technique, mapping of each of the five echo (TE=20,40,60,80,100ms) separately using combined iterative T1‐weighted and DTI spatial normalization based transformations on a super‐resolution grid followed by patch‐based sparse representation to construct our T2‐weighted templates of the MIITRA atlas (Fig.1).The first echo PD‐weighted and the third echo T2‐weighted templates were compared to other available templates in terms of image sharpness and inter‐subject spatial normalization accuracy achieved when used as references for normalization of 30 ADNI PD‐weighted and T2‐weighted participants.ResultThe new PD and T2 weighted templates of the MIITRA atlas demonstrated higher image sharpness compared to the other templates, as exhibited by larger high spatial frequency content in the normalized power spectra (Fig. 2A,B,C,D). Inter‐subject spatial normalization was higher when using the new templates compared to the other templates (Fig.3,4). The new templates required the least spatial deformation for normalizing ADNI data (Fig.5A,B).ConclusionWe conclude that the new PD‐weighted and T2‐weighted templates of the MIITRA atlas are characterized by superior image quality, require lower deformation and allow for higher spatial normalization accuracy for use in studies on older adults such as the ADNI datasets.

Nanodiamond (ND)-based polyamide (PA) 66 nanocomposite studied with infrared (IR) microscopy and time-domain nuclear magnetic resonance (TD-NMR) combined with two-trace two-dimensional (2T2D) correlation analysis

Nanodiamond/polyamide (ND/PA) nanocomposite was examined with infrared (IR) microscopy and time-domain nuclear magnetic resonance (TD-NMR) to elucidate in detail the interphase between amino functionalized ND (ND-NH2) and PA 66. An IR image of the ND/PA nanocomposite suggested the uniform nanoscale distribution of the ND-NH2 particles thanks to the spherical shape and accessible external surface of ND terminated with reactive amino groups. On the other hand, a substantial level of change was observed in T2 decay curves when the ND-NH2 particles were incorporated in the PA 66. The fine features of the thermally induced changes in the decay curves were readily analyzed with the two-trace two-dimensional (2T2D) correlation method. The variation in the asynchronous correlation intensity indicated that the changes observed in the mechanical properties of the ND/NH2 may be attributed to the development of crosslinking between tie chains in the amorphous region via the interaction between the ND-NH2 and PA 66. Accordingly, such firm links have a substantial effect in preventing the displacement of the amorphous domain, which eventually increases the Young’s modulus but reduces the ductility of the PA.

Dual nuclear magnetic resonance for probing intrinsic bone structure and a potential gut-bone axis in ovariectomized rats.

Currently, the existence of a gut-bone axis receives massive attention, and while sound premises and indirect proofs exist for the gut-bone axis concept, few studies have provided actual data linking the gut and bone physically. This study aimed to exploit the versatile nature of nuclear magnetic resonance (NMR) to link NMR relaxometry data on bone mineralization with NMR spectroscopic profiling of gut metabolites. For this purpose, sample material was obtained from a 6-week intervention study with ovariectomized (OVX) rats (n = 49) fed with seven different diets varying in calcium content (0.2-6.0 mg/kg) and prebiotic fiber content (0-5.0% w/w). This design ensured a span in (i) calcium available for bone mineralization and (ii) metabolic activity in the gut. After termination of the intervention, longitudinal (T1 ), transverse (T2 ) relaxation, and mechanical bone strength were measured on the excised femur bones. A PLS model with high predictability (Q2 = 0.86, R2 = 0.997) was demonstrated between T2 decay curves and femur mechanical strength. Correlations were established between bone T2 populations and gut short-chain fatty acids. In conclusion, the present dual NMR approach showed strong correlation between T2 relaxation and mechanical strength of the bone, and when metabolic activity in the gut was modulated by inulin, the potential existence of a gut-bone axis was demonstrated.

Three-dimensional simultaneous brain mapping of T1,T2, and magnetic susceptibility with MR Multitasking.

To develop a new technique that enables simultaneous quantification of whole-brain T1 , T2 , , as well as susceptibility and synthesis of six contrast-weighted images in a single 9.1-minute scan. The technique uses hybrid T2 -prepared inversion-recovery pulse modules and multi-echo gradient-echo readouts to collect k-space data with various T1, T2, and weightings. The underlying image is represented as a six-dimensional low-rank tensor consisting of three spatial dimensions and three temporal dimensions corresponding to T1 recovery, T2 decay, and multi-echo behaviors, respectively. Multiparametric maps were fitted from reconstructed image series. The proposed method was validated on phantoms and healthy volunteers, by comparing quantitative measurements against corresponding reference methods. The feasibility of generating six contrast-weighted images was also examined. High quality, co-registered T1 , T2 , and susceptibility maps were generated that closely resembled the reference maps. Phantom measurements showed substantial consistency (R2 > 0.98) with the reference measurements. Despite the significant differences of T1 (p < .001), T2 (p = .002), and (p = 0.008) between our method and the references for in vivo studies, excellent agreement was achieved with all intraclass correlation coefficients greater than 0.75. No significant difference was found for susceptibility (p = .900). The framework is also capable of synthesizing six contrast-weighted images. The MR Multitasking-based 3D brain mapping of T1 , T2 , , and susceptibility agrees well with the reference and is a promising technique for multicontrast and quantitative imaging.

A data-driven T2 relaxation analysis approach for myelin water imaging: Spectrum analysis for multiple exponentials via experimental condition oriented simulation (SAME-ECOS).

The decomposition of multi-exponential decay data into a T2 spectrum poses substantial challenges for conventional fitting algorithms, including non-negative least squares (NNLS). Based on a combination of the resolution limit constraint and machine learning neural network algorithm, a data-driven and highly tailorable analysis method named spectrum analysis for multiple exponentials via experimental condition oriented simulation (SAME-ECOS) was proposed. The theory of SAME-ECOS was derived. Then, a paradigm was presented to demonstrate the SAME-ECOS workflow, consisting of a series of calculation, simulation, and model training operations. The performance of the trained SAME-ECOS model was evaluated using simulations and six in vivo brain datasets. The code is available at https://github.com/hanwencat/SAME-ECOS. Using NNLS as the baseline, SAME-ECOS achieved over 15% higher overall cosine similarity scores in producing the T2 spectrum, and more than 10% lower mean absolute error in calculating the myelin water fraction (MWF), as well as demonstrated better robustness to noise in the simulation tests. Applying to in vivo data, MWF from SAME-ECOS and NNLS was highly correlated among all study participants. However, a distinct separation of the myelin water peak and the intra/extra-cellular water peak was only observed in the mean T2 spectra determined using SAME-ECOS. In terms of data processing speed, SAME-ECOS is approximately 30 times faster than NNLS, achieving a whole-brain analysis in 3 min. Compared with NNLS, the SAME-ECOS method yields much more reliable T2 spectra in a dramatically shorter time, increasing the feasibility of multi-component T2 decay analysis in clinical settings.

Diffusion in Sephadex Gel Structures: Time Dependency Revealed by Multi-Sequence Acquisition over a Broad Diffusion Time Range.

It has been increasingly reported that in biological tissues diffusion-weighted MRI signal attenuation deviates from mono-exponential decay, especially at high b-values. A number of diffusion models have been proposed to characterize this non-Gaussian diffusion behavior. One of these models is the continuous-time random-walk (CTRW) model, which introduces two new parameters: a fractional order time derivative α and a fractional order spatial derivative β. These new parameters have been linked to intravoxel diffusion heterogeneities in time and space, respectively, and are believed to depend on diffusion times. Studies on this time dependency are limited, largely because the diffusion time cannot vary over a board range in a conventional spin-echo echo-planar imaging sequence due to the accompanying T2 decays. In this study, we investigated the time-dependency of the CTRW model in Sephadex gel phantoms across a broad diffusion time range by employing oscillating-gradient spin-echo, pulsed-gradient spin-echo, and pulsed-gradient stimulated echo sequences. We also performed Monte Carlo simulations to help understand our experimental results. It was observed that the diffusion process fell into the Gaussian regime at extremely short diffusion times whereas it exhibited a strong time dependency in the CTRW parameters at longer diffusion times.