Magnetic Resonance Phase Research Articles

Denoising sphere‐valued data by relaxed total variation regularization

AbstractCircle‐ and sphere‐valued data play a significant role in inverse problems like magnetic resonance phase imaging and radar interferometry, in the analysis of directional information, and in color restoration tasks. In this paper, we aim to restore ‐sphere‐valued signals exploiting the classical anisotropic total variation on the surrounding ‐dimensional Euclidean space. For this, we propose a novel variational formulation, whose data fidelity is based on inner products instead of the usually employed squared norms. Convexifying the resulting non‐convex problem and using ADMM, we derive an efficient and fast numerical denoiser. In the special case of binary (0‐sphere‐valued) signals, the relaxation is provable tight, that is, the relaxed solution can be used to construct a solution of the original non‐convex problem. Moreover, the tightness can be numerically observed for barcode and QR code denoising as well as in higher dimensional experiments like the color restoration using hue and chromaticity and the recovery of SO(3)‐valued signals.

The Cardiac and Cerebrovascular Response to Lower Body Negative Pressure in Patients with Postural Orthostatic Tachycardia Syndrome

Introduction: Postural orthostatic tachycardia syndrome (POTS) is characterized by excessive heart rate response upon standing and symptoms that drastically reduce quality of life. Symptoms are often cerebral in nature (e.g., dizziness, headache), however the relationship between the underlying physiology and the symptoms is unknown. We tested the hypothesis that, compared to healthy controls (HC) individuals with POTS would have greater decreases in cardiac, and cerebral hemodynamic function during a simulated orthostatic challenge (lower-body negative pressure; LBNP) measured using magnetic resonance (MR) imaging. Methods: Eleven patients with POTS (17±1yrs; 1 male) and 10 HC (18±2yrs; 1 male) were studied at rest (supine in MRI) and during 20-minutes of -25mmHg LBNP. Symptoms were measured by Vanderbilt Orthostatic Symptom Score (VOSS). Heart rate and blood pressure (BP) were measured using an automated cuff and finger pulse oximeter, respectively. Left and right ventricular volumes, ejection fraction, stroke volume (SV), and cardiac output (Qc) were determined by cardiac MR. Cerebral oxygen utilization (VO2) was calculated as cerebral blood flow (CBF) multiplied by venous oxygen saturation (SVO2), measured by MR phase contrast and susceptomtery-based oximetry in the superior sagittal sinus. Results: At rest, there were no differences between groups for any cardiac hemodynamic measure (p>0.05 for all), however cerebral SvO2 and VO2 were lower in the POTS group (p=0.02 for both). In response to LBNP, patients with POTS had greater VOSS (25±21 vs 5±12; p=0.02). Heart rate increased in response to LBNP (p<0.001), but the increase was not different between groups (HC: +9±8bpm; POTS: +13±11bpm; p=0.35). SV and Qc decreased during LBNP (both, p<0.01), despite no change in mean arterial BP (p=0.13) which did not differ between groups (HC: +9±8mmHg; POTS: 3±6mmHg; p=0.377). Additionally, both left and right ventricular volumes as well as ejection fraction decreased during LBNP (p<0.01 for all). The decreased Qc during LBNP coincided with lower CBF in the superior sagittal sinus (p=0.01) although the response was not different between groups (HC: -17±13ml/min; POTS: -25±32ml/min; p=0.51). Cerebral SvO2 also decreased during LBNP (p=0.03) indicating increased oxygen extraction, resulting in no change in cerebral VO2 during LBNP (p=0.28) and no difference between groups in the VO2 response (HC: -0.2±3.7ml/min; POTS: +1.1±2.0ml/min; p=0.33). Conclusion: In response to a simulated orthostatic challenge (-25mmHg LBNP), patients with POTS do not have impaired cardiac function or cerebral oxygenation despite having a higher symptom score; however, a stronger stimulus may have been necessary to expose differences. Further investigations are needed to elucidate mechanisms of autonomic dysfunction in this population. Women and Children's Health Research Institute. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping.

Quantitative susceptibility mapping (QSM) provides an estimate of the magnetic susceptibility of tissue using magnetic resonance (MR) phase measurements. The tissue magnetic susceptibility (source) from the measured magnetic field distribution/local tissue field (effect) inherent in the MR phase images is estimated by numerically solving the inverse source-effect problem. This study aims to develop an effective model-based deep-learning framework to solve the inverse problem of QSM. This work proposes a Schatten -norm-driven model-based deep learning framework for QSM with a learnable norm parameter to adapt to the data. In contrast to other model-based architectures that enforce the l -norm or l -norm for the denoiser, the proposed approach can enforce any -norm ( ) on a trainable regulariser. The proposed method was compared with deep learning-based approaches, such as QSMnet, and model-based deep learning approaches, such as learned proximal convolutional neural network (LPCNN). Reconstructions performed using 77 imaging volumes with different acquisition protocols and clinical conditions, such as hemorrhage and multiple sclerosis, showed that the proposed approach outperformed existing state-of-the-art methods by a significant margin in terms of quantitative merits. The proposed SpiNet-QSM showed a consistent improvement of at least 5% in terms of the high-frequency error norm (HFEN) and normalized root mean squared error (NRMSE) over other QSM reconstruction methods with limited training data.

Diagnostic Performance of Cardiovascular Magnetic Resonance Phase Contrast Analysis to Identify Heart Failure With Preserved Ejection Fraction.

Diagnostic Performance of Cardiovascular Magnetic Resonance Phase Contrast Analysis to Identify Heart Failure With Preserved Ejection Fraction.

Effect of lower body negative pressure on cardiac and cerebral function in postural orthostatic tachycardia syndrome: A pilot MRI assessment.

Postural orthostatic tachycardia syndrome (POTS) is characterized by an excessive heart rate (HR) response upon standing and symptoms indicative of inadequate cerebral perfusion. We tested the hypothesis that during lower body negative pressure (LBNP), individuals with POTS would have larger decreases in cardiac and cerebrovascular function measured using magnetic resonance (MR) imaging. Eleven patients with POTS and 10 healthy controls were studied at rest and during 20 min of -25 mmHg LBNP. Biventricular volumes, stroke volume (SV), cardiac output (Qc), and HR were determined by cardiac MR. Cerebral oxygen uptake (VO2 ) in the superior sagittal sinus was calculated from cerebral blood flow (CBF; MR phase contrast), venous O2 saturation (SvO2 ; susceptometry-based oximetry), and arterial O2 saturation (pulse oximeter). Regional cerebral perfusion was determined using arterial spin labelling. HR increased in response to LBNP (p < 0.001) with no group differences (HC: +9 ± 8 bpm; POTS: +13 ± 11 bpm; p = 0.35). Biventricular volumes, SV, and Qc decreased during LBNP (p < 0.001). CBF and SvO2 decreased with LBNP (p = 0.01 and 0.03, respectively) but not cerebral VO2 (effect of LBNP: p = 0.28; HC: -0.2 ± 3.7 mL/min; POTS: +1.1 ± 2.0 mL/min; p = 0.33 between groups). Regional cerebral perfusion decreased during LBNP (p < 0.001) but was not different between groups. These data suggest patients with POTS have preserved cardiac and cerebrovascular function.

Abstract WP133: Phase MRI Clot Characteristic and Radiologic Thrombectomy Outcomes in Acute Ischemic Stroke

Background: Magnetic Resonance (MR) susceptibility weighted imaging (SWI) sequences produce filtered Phase images where blood products demonstrate signal intensities opposite to calcifications. Though susceptibility Vessel Sign (SVS) on pre-interventional MRI has been reported as an indicator of outcome following thrombectomy, the association of Phase MR imaging with thrombectomy outcomes is not previously studied. Methods: In this retrospective cohort study of consecutive acute large vessel occlusion strokes with Phase MR imaging prior to thrombectomy, we evaluated the correlation between clot features on pre-interventional MR imaging with radiographic outcomes following thrombectomy. The clot characteristics included the presence of SVS and its geometrical features on both Phase and GRE sequenced MRIs and thrombus extension. Results: A total of 57 patients were included in this analysis (mean age: 65.04 ± 15.8, 33% Female, mean NIHSS: 13.0 (7.5, 19.5), 33% M1 occlusion), among which 52 (91%) patients had positive SVS on phase-sequence MRI. Successful recanalization was achieved in 91% and successful first pass recanalization was observed in 46%. In univariate analysis, baseline demographics and clinical characteristics including age, sex, and comorbidities were not associated with successful recanalization. Homogeneity of Phase-SVS was significantly associated with the first pass successful recanalization (Odds ratio (OR) 1.81; Confidence interval (CI) [1.14-2.88], p: 0.006). Conclusion: Our study suggests MRI Phase-SVS clot homogeneity as a novel predictor of first pass successful recanalization following mechanical thrombectomy in acute stroke.

Construction mechanism of gellan gum/chitosan/calcium ion multiple‐network hydrogel by self‐assembly strategy and its regulation

AbstractRecently, double‐network or multiple‐network hydrogel constructed by physical methods has been considered a green method to improve the comprehensive properties of biomass hydrogel. Herein, a novel physically cross‐linked hydrogel with multiple network of gellan gum/chitosan/calcium ion (GG–CS–Ca) was constructed by self‐assembly to accomplish the synergistic improvement of mechanical strength and uranium adsorption property compared to adsorbents GG–Ca and carboxymethyl konjac glucomannan/GG–Al originated from gellan gum previously prepared. Moreover, the driving mechanism of self‐assembly of GG–CS–Ca was deduced by 13C solid state nuclear magnetic resonance spectroscopy (13C‐SSNMR), rheological analysis, and phase transition analysis. The results indicated electrostatic interaction was dominant during the self‐assembly of GG–CS–Ca. The self‐assembly mechanism was also illustrated by investigating the x‐ray photoelectron spectrometer (XPS) combined with the analysis of the phase transition process. Comprehensively, the self‐assembly constructed GG–CS–Ca hydrogel network contained three kinds of network including the GG–CS network constructed by electrostatic action of protonated CS with negative charged GG, the GG–Ca network constructed by ionic cross‐linking of COO− in GG and Ca2+, and the GG network formed after the phase transformation of GG hot sol by cooling. It explored a new method for constructing biomass‐based physical hydrogels with both favorable mechanical strength and uranium adsorption capacity in uranium removal.Highlights A novel physically cross‐linked hydrogel (GG–CS–Ca) with multiple network was constructed by self‐assembly. The GG–CS–Ca hydrogel accomplished the synergistic improvement of mechanical strength and uranium adsorption properties. The self‐assembly mechanism of constructing the GG–CS–Ca hydrogel network contained three aspects. The electrostatic interaction was the dominant action during the self‐assembly of GG–CS–Ca.

Cardiac magnetic resonance haemodynamics in paediatric heart transplant patients: fick oximetry versus cardiac magnetic resonance phase contrast.

Lifetime radiation exposure for paediatric orthotopic heart transplant (OHT) patients is significant with cardiac catheterisation as the dominant source. Interventional cardiac magnetic resonance is utilised to obtain simultaneous, radiation-free haemodynamics and flow/function measurements. We sought to compare invasive haemodynamic measurements and radiation exposure in traditional cardiac catheterisation, to comprehensive interventional cardiac magnetic resonance. Twenty-eight OHT patients who underwent 67 interventional cardiac magnetic resonance procedures at Children's National Hospital were identified. Both invasive oximetry with peripheral oxygen saturation (Fick) and cardiac magnetic resonance phase contrast measurements of pulmonary and systemic blood flow were performed. Systemic and pulmonary blood flow from the two modalities was compared using Bland-Altman, concordance analysis, and inter-reader correlation. A mixed model was implemented to account for confounding variables and repeat encounters. Radiation dosage data were collected for a contemporaneous cohort of orthotopic heart transplant patients undergoing standard, X-ray-guided catheterisation. Simultaneous cardiac magnetic resonance and Fick have poor agreement in our study based on Lin's correlation coefficient of 0.68 and 0.73 for pulmonary and systemic blood flow, respectively. Bland-Altman analysis demonstrated a consistent over estimation of cardiac magnetic resonance cardiac output by Fick. The average indexed dose area product for patients undergoing haemodynamics with endomyocardial biopsy was 0.73 (SD ±0.6) Gy*m2/kg. With coronary angiography added, the indexed dose area product was 14.6 (SD ± 7.8) Gy*m2/kg. Cardiac magnetic resonancemeasurements of cardiac output/index in paediatric orthotopic heart transplant patients have poor concordance with Fick estimates; however, cardiac magnetic resonance has good internal validity and inter-reader reliability. Radiation doses are small for haemodynamics with biopsy and increase exponentially with angiography, identifying a new target for cardiac magnetic resonance imaging.

Synthesis, structural analysis, DFT study, antioxidant activity of metal complexes of N-substituted thiourea

In this work, N-substituted thiourea and its metal complexes were synthesized and characterized by Nuclear magnetic resonance (NMR), Infrared (IR) spectroscopy and X-ray phase analysis. DFT/B3LYP level of theory with 6–31++G(d,p) basis set have been used to determine the geometry, energy and electronic parameters, characterized the stable structures of these compounds. Frontier molecular orbitals energies, energy gap, chemical reactivity descriptors, atomic charges, dipole moment and polarizability have been calculated, the sites of electrophilic and nucleophilic regions where the molecular interactions likely to happen are identified for reagent and complex. The electron density transfer and hyper conjugative interactions are elucidated. The data obtained allowed us to predict the reactivity CuCl2 substituent. It was revealed that the nature of the mentioned substituent favors the formation of a stable five-membered ring via coordinate bonding N6-Cu25 and N17-Cu25. In addition, the thiocarbonyl and methyl groups form a pseudo six-membered ring via the C10H13…S5 hydrogen bond in this complex. It was found that the experimentally and theoretically obtained parameters of the proposed models of thiourea and its complex with CuCl2 have match well. The antioxidant properties of the synthesized compounds were studied in model reactions. Since the study of the mechanism of the antioxidant action of oxidation inhibitors under real conditions of oxidation of lubricating oils is very difficult, the antioxidant effect of the compounds synthesized by us was studied in the oxidation reaction of a model hydrocarbon-cumene, the oxidation mechanism of which was studied in detail. The study of cumene autoxidation in the presence of these compounds showed that they effectively inhibit the autoxidation process.

Learn Less, Infer More: Learning in the Fourier Domain for Quantitative Susceptibility Mapping.

Quantitative susceptibility mapping (QSM) aims to evaluate the distribution of magnetic susceptibility from magnetic resonance phase measurements by solving the ill-conditioned dipole inversion problem. Removing the artifacts and preserving the anisotropy of tissue susceptibility simultaneously is still a challenge in QSM. To deal with this issue, a novel k-QSM network is proposed to resolve dipole inversion issues in QSM reconstruction. The k-QSM network converts the results obtained by truncated k-space division (TKD) into the Fourier domain as inputs. After passing through several convolutional and residual blocks, the ill-posed signals of TKD are corrected by making the network output close to the calculation of susceptibility through multiple orientation sampling (COSMOS)-labeled QSM. To evaluate the superiority of k-QSM, comparisons with several state-of-the-art methods are performed in terms of QSM artifacts removing, anisotropy preserving, generalization ability, and clinical applications. Compared to existing methods, the k-QSM achieves a 22.31% lower normalized root mean square error, 10.30% higher peak signal-to-noise ratio (PSNR), 33.10% lower high-frequency error norm, and 1.06% higher structural similarity. In addition, the orientation-dependent susceptibility variation obtained by k-QSM is significant, verifying that k-QSM has the ability to preserve susceptibility anisotropy. When the trained models are tested on the dataset from different centers, our k-QSM shows a strong generalization ability with the highest PSNR. Moreover, by comparing the susceptibility maps between healthy controls and drug addicts with different methods, we found the proposed k-QSM is more sensitive to the susceptibility abnormality in the patients. The proposed k-QSM method learns less—only to fix the ill-posed signals of TKD, but infers more—both COSMOS-like and anisotropy-preserving QSM results. Its generalization ability and great sensitivity to susceptibility changes can make it a potential method for distinguishing some diseases.

Abstract 12395: Nitroglycerin Reduces Pulsatile Arterial Load But Not Steady State Load In Aortic Stenosis Patients Before Or After Transcatheter Aortic Valve Implantation

Background: Pulsatile arterial load is represented by the characteristic impedance (Zc) of the ascending aorta. In aortic stenosis (AS) patients, Zc is thought to contribute significantly to left ventricular afterload in addition to aortic transvalvular gradient. We evaluated the effect of nitroglycerin, a potent vasodilator, on Zc non-invasively in AS patients before or after transcatheter aortic valve implantation (TAVI). Methods: Simultaneous aortic pressure from radial arterial tonometry and flow from cardiac magnetic resonance phase contrast imaging were obtained. Radial waveforms were converted to central aortic pressure using SphygmoCor 8.1 (AtCor Medical) and calibrated using brachial cuff values. Zc was derived from aortic pressure and flow by averaging the impedance modulus in frequency domain analysis. Data acquisition was repeated after administration of 300 micrograms of sublingual nitroglycerin to investigate its effect on pulsatile and steady state load. Results: Analysis was performed in 9 AS patients (3 female, age 68-81 years) with a left ventricular ejection fraction &gt; 55%, of whom 5 had undergone recent TAVI. When compared with baseline measurements, nitroglycerin reduced mean arterial pressure (107 ± 11 pre vs 87 ± 5 post, mmHg), central pulse pressure (67 ± 15 pre vs 48 ± 13 post, mmHg), forward stroke volume (83 ± 15 pre vs 70 ± 13 post, ml) and Zc (129 ± 42 pre vs 95 ± 32 post, dynes.cm/s 5 ). However, there was no change in compliance or steady state systemic vascular resistance (2163 ± 445 pre vs 2045 ± 485 post, dynes.cm/s 5 ). Conclusion: Nitroglycerin significantly reduces pulsatile arterial load in AS patients without reducing steady state load. Our non-invasive technique can reliably assess changes in hemodynamic loading conditions, and larger longitudinal paired analysis of nitroglycerin response before and after TAVI may help predict AS patients at risk of poorer outcomes from ventriculo-arterial coupling mismatch following treatment.

Common Carotid Artery Volume Flow: A Comparison Study between Ultrasound Vector Flow Imaging and Phase Contrast Magnetic Resonance Imaging.

Volume flow estimation in the common carotid artery (CCA) can assess the absolute hemodynamic effect of a carotid stenosis. The aim of this study was to compare a commercial vector flow imaging (VFI) setup against the reference method magnetic resonance phase contrast angiography (MRA) for volume flow estimation in the CCA. Ten healthy volunteers were scanned with VFI and MRA over the CCA. VFI had an improved precision of 19.2% compared to MRA of 31.9% (p = 0.061). VFI estimated significantly lower volume flow than MRA (mean difference: 63.2 mL/min, p = 0.017), whilst the correlation between VFI and MRA was strong (R2 = 0.81, p < 0.0001). A Bland–Altman plot indicated a systematic bias. After bias correction, the percentage error was reduced from 41.0% to 25.2%. This study indicated that a VFI setup for volume flow estimation is precise and strongly correlated to MRA volume flow estimation, and after correcting for the systematic bias, VFI and MRA become interchangeable.

Estimating blood flow velocity using time-resolved 3D angiography and a derived physical law of contrast media

Objective. Four-dimensional (4D) digital subtraction angiography (DSA) offers a method for evaluating hemodynamics. It is, however, unclear how the delivered contrast medium interacts with the physiological blood flow, and how hemodynamic information may be inferred from the mixture of the contrast medium and blood. In this study, we present a theoretical explanation of contrast dynamics, and an accompanying algorithm for estimating blood flow velocity. Approach. We retrospectively recruited 23 patients who underwent both 4D DSA and magnetic resonance (MR) phase-contrast imaging. The 4D DSA-reconstructed contrast dynamics were first studied for the internal carotid arteries. Using physical laws governing fluid motion within a curved tube, we showed that the reconstructed contrast dynamics obeyed a simple advection equation. We then proposed an algorithm for estimating the contrast dynamics using angiographic data, and subsequently estimated the axial blood flow velocity using an advection equation. Main results. The estimated velocities were compared using three techniques: the Fourier technique, Lin’s method, and MR phase contrast. Testing with noise-corrupted artificial data showed that the proposed algorithm was noise resistant. The velocities of 23 patients computed by 4D DSA using the proposed algorithm showed a moderate correlation with the MR phase contrast (r = 0.61), and good correlations with the other two techniques (r = 0.75 and r = 0.72). Significance. The proposed algorithm and has been applied to blood vessel segments with poor signal-to-noise ratios and axial lengths of less than 3 cm, and has a physical basis for computing axial flow velocities using an advection equation. The results of the proposed algorithm are consistent with existing methods.

MR Elastography of the Abdomen: Basic Concepts.

Magnetic resonance elastography (MRE) is an emerging imaging modality that maps the elastic properties of tissue such as the shear modulus. It allows for noninvasive assessment of stiffness, which is a surrogate for fibrosis. MRE has been shown to accurately distinguish absent or low stage fibrosis from high stage fibrosis, primarily in the liver. Like other elasticity imaging modalities, it follows the general steps of elastography: (1) apply a known cyclic mechanical vibration to the tissue; (2) measure the internal tissue displacements caused by the mechanical wave using magnetic resonance phase encoding method; and (3) infer the mechanical properties from the measured mechanical response (displacement), by generating a simplified displacement map. The generated map is called an elastogram.While the key interest of MRE has traditionally been in its application to liver, where in humans it is FDA approved and commercially available for clinical use to noninvasively assess degree of fibrosis, this is an area of active research and there are novel upcoming applications in brain, kidney, pancreas, spleen, heart, lungs, and so on. A detailed review of all the efforts is beyond the scope of this chapter, but a few specific examples are provided. Recent application of MRE for noninvasive evaluation of renal fibrosis has great potential for noninvasive assessment in patients with chronic kidney diseases. Development and applications of MRE in preclinical models is necessary primarily to validate the measurement against "gold-standard" invasive methods, to better understand physiology and pathophysiology, and to evaluate novel interventions. Application of MRE acquisitions in preclinical settings involves challenges in terms of available hardware, logistics, and data acquisition. This chapter will introduce the concepts of MRE and provide some illustrative applications.This publication is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This introduction chapter is complemented by another separate chapter describing the experimental protocol and data analysis.

Silicon-on-insulator based multifunctional metasurface with simultaneous polarization and geometric phase controls.

Enabled with both magnetic resonance and geometric phase, dielectric nanobrick based metasurfaces have shown their unusual abilities to produce high-definition and high-efficiency holographic images. Herein, we further show that such a metasurface can not only project a holographic image in far field but also record a grayscale image right at the metasurface plane simultaneously, merely with a single-celled nanostructure design approach. Specifically, each nanobrick in a unit-cell of the metasurface acts as a half-wave plate and it can continuously rotate the polarization direction of incident linearly polarized light. Governed by Malus law, light intensity modulation is available with the help of a bulk-optic analyzer and a continuous grayscale image appears right at the metasurface plane. At the same time, the concept of orientation degeneracy of nanostructures can be utilized to generate a 4-step geometric phase, with which a holographic image is reconstructed in far field. We experimentally demonstrate this multifunctional meta-device by employing the widely used silicon-on-insulator (SOI) material and all results agree well with our theoretical prediction. With the novel features of easiness in design, high efficiency, broadband spectrum response, strong robustness, high security and high information density, the proposed SOI-based metasurfaces will have extensive applications in optical information security and multiplexing.

Study of the In Vitro Digestion of Olive Oil Enriched or Not with Antioxidant Phenolic Compounds. Relationships between Bioaccessibility of Main Components of Different Oils and Their Composition.

The changes provoked by in vitro digestion in the lipids of olive oil enriched or not with different phenolic compounds were studied by proton nuclear magnetic resonance (1H NMR) and solid phase microextraction followed by gas chromatography/mass spectrometry (SPME-GC/MS). These changes were compared with those provoked in the lipids of corn oil and of virgin flaxseed oil submitted to the same digestive conditions. Lipolysis and oxidation were the two reactions under consideration. The bioaccessibility of main and minor components of olive oil, of phenolic compounds added, and of compounds formed as consequence of the oxidation, if any, were matters of attention. Enrichment of olive oil with antioxidant phenolic compounds does not affect the extent of lipolysis, but reduces the oxidation degree to minimum values or avoids it almost entirely. The in vitro bioaccessibility of nutritional and bioactive compounds was greater in the olive oil digestate than in those of other oils, whereas that of compounds formed in oxidation was minimal, if any. Very close quantitative relationships were found between the composition of the oils in main components and their in vitro bioaccessibility. These relationships, some of which have predictive value, can help to design lipid diets for different nutritional purposes.

A Global Study by 1H NMR Spectroscopy and SPME-GC/MS of the in Vitro Digestion of Virgin Flaxseed Oil Enriched or not with Mono-, Di- or Tri-Phenolic Derivatives. Antioxidant Efficiency of These Compounds.

The effect of enriching virgin flaxseed oil with dodecyl gallate, hydroxytyrosol acetate or gamma-tocopherol on its in vitro digestion is studied by means of proton nuclear magnetic resonance and solid phase microextraction followed by gas chromatography/mass spectrometry. The extent and pattern of the lipolysis reached in each sample is analyzed, as is the bioaccessibility of the main oil components. None of the phenolic compounds provokes inhibition of the lipase activity and all of them reduce the lipid oxidation degree caused by the in vitro digestion and the bioaccessibility of oxidation compounds. The antioxidant efficiency of the three tested phenols is in line with the number of phenolic groups in its molecule, and is dose-dependent. The concentration of some minor oil components such as terpenes, sesquiterpenes, cycloartenol and 24-methylenecycloartenol is not modified by in vitro digestion. Contrarily, gamma-tocopherol shows very low in vitro bioaccessibility, probably due to its antioxidant behavior, although this increases with enrichment of the phenolic compounds. Oxidation is produced during in vitro digestion even in the presence of a high concentration of gamma-tocopherol, which remains bioaccessible after digestion in the enriched samples of this compound.

Oxidative stability of extra-virgin olive oil enriched or not with lycopene. Importance of the initial quality of the oil for its performance during in vitro gastrointestinal digestion.

The performance of commercial non-enriched and lycopene-enriched extra-virgin olive oils (EVOO) during in vitro gastrointestinal digestion was studied in order to elucidate potential benefits of lycopene addition. Samples were analyzed before and after digestion by Proton Nuclear Magnetic Resonance (1H NMR) and Solid Phase Microextraction-Gas Chromatography/Mass Spectrometry (SPME-GC/MS). EVOO samples differed in both main (oleic and linoleic acyl groups) and minor components (phenolic and oxidation compounds). Regardless of the presence of lycopene, all the samples reached a high degree of lipolysis and showed high stability towards oxidation under digestion conditions. Rather than oxidation reactions, the hydroperoxides initially present in the oil were reduced to more stable hydroxides. Likewise, hydroxy-diene isomerization from cis,trans to trans,trans occurred. Hence, the presumed antioxidant effect of lycopene was not noticed during in vitro digestion of EVOO. Similar experiments carried out with a more polyunsaturated oil (sunflower oil) indicated that lycopene slowed down the advance of oxidation slightly. However, in the case of EVOO, its initial quality prevailed over the slight antioxidant effect exerted by lycopene at the concentration present in commercial samples, determining the oxidation compound profile of the digests.

The clinical impact of phase offset errors and different correction methods in cardiovascular magnetic resonance phase contrast imaging: a multi-scanner study

BackgroundCardiovascular magnetic resonance (CMR) phase contrast (PC) flow measurements suffer from phase offset errors. Background subtraction based on stationary phantom measurements can most reliably be used to overcome this inaccuracy. Stationary tissue correction is an alternative and does not require additional phantom scanning. The aim of this study was 1) to compare measurements with and without stationary tissue correction to phantom corrected measurements on different GE Healthcare CMR scanners using different software packages and 2) to evaluate the clinical implications of these methods.MethodsCMR PC imaging of both the aortic and pulmonary artery flow was performed in patients on three different 1.5 T CMR scanners (GE Healthcare) using identical scan parameters. Uncorrected, first, second and third order stationary tissue corrected flow measurement were compared to phantom corrected flow measurements, our reference method, using Medis QFlow, Circle cvi42 and MASS software. The optimal (optimized) stationary tissue order was determined per scanner and software program. Velocity offsets, net flow, clinically significant difference (deviation > 10% net flow), and regurgitation severity were assessed.ResultsData from 175 patients (28 (17–38) years) were included, of which 84% had congenital heart disease. First, second and third order and optimized stationary tissue correction did not improve the velocity offsets and net flow measurements. Uncorrected measurements resulted in the least clinically significant differences in net flow compared to phantom corrected data. Optimized stationary tissue correction per scanner and software program resulted in net flow differences (> 10%) in 19% (MASS) and 30% (Circle cvi42) of all measurements compared to 18% (MASS) and 23% (Circle cvi42) with no correction. Compared to phantom correction, regurgitation reclassification was the least common using uncorrected data. One CMR scanner performed worse and significant net flow differences of > 10% were present both with and without stationary tissue correction in more than 30% of all measurements.ConclusionPhase offset errors had a significant impact on net flow quantification, regurgitation assessment and varied greatly between CMR scanners. Background phase correction using stationary tissue correction worsened accuracy compared to no correction on three GE Healthcare CMR scanners. Therefore, careful assessment of phase offset errors at each individual scanner is essential to determine whether routine use of phantom correction is necessary.Trial registrationObservational Study

Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approach

Cerebral Microbleeds (CMBs) are small chronic brain hemorrhages, which have been considered as diagnostic indicators for different cerebrovascular diseases including stroke, dysfunction, dementia, and cognitive impairment. However, automated detection and identification of CMBs in Magnetic Resonance (MR) images is a very challenging task due to their wide distribution throughout the brain, small sizes, and the high degree of visual similarity between CMBs and CMB mimics such as calcifications, irons, and veins. In this paper, we propose a fully automated two-stage integrated deep learning approach for efficient CMBs detection, which combines a regional-based You Only Look Once (YOLO) stage for potential CMBs candidate detection and three-dimensional convolutional neural networks (3D-CNN) stage for false positives reduction. Both stages are conducted using the 3D contextual information of microbleeds from the MR susceptibility-weighted imaging (SWI) and phase images. However, we average the adjacent slices of SWI and complement the phase images independently and utilize them as a two-channel input for the regional-based YOLO method. This enables YOLO to learn more reliable and representative hierarchal features and hence achieve better detection performance. The proposed work was independently trained and evaluated using high and low in-plane resolution data, which contained 72 subjects with 188 CMBs and 107 subjects with 572 CMBs, respectively. The results in the first stage show that the proposed regional-based YOLO efficiently detected the CMBs with an overall sensitivity of 93.62% and 78.85% and an average number of false positives per subject (FPavg) of 52.18 and 155.50 throughout the five-folds cross-validation for both the high and low in-plane resolution data, respectively. These findings outperformed results by previously utilized techniques such as 3D fast radial symmetry transform, producing fewer FPavg and lower computational cost. The 3D-CNN based second stage further improved the detection performance by reducing the FPavg to 1.42 and 1.89 for the high and low in-plane resolution data, respectively. The outcomes of this work might provide useful guidelines towards applying deep learning algorithms for automatic CMBs detection.