Biomedical subjects

Johannes Bernarding

Publications and source records attributed to Johannes Bernarding.

10 recordsLinked to original sources

PubMed2006

J-coupling nuclear magnetic resonance spectroscopy of liquids in nT fields.

In ultralow magnetic fields, liquid state nuclear magnetic resonance (NMR) spectra of homonuclear spin systems exhibit line widths dominated by their natural lifetime. Chemical shifts become negligible, and heteronuclear NMR spectra show predominantly the electron-mediated field-independent J-coupling. However, weak polarization and Larmor frequencies down to a few hertz require special detectors, such as Superconducting Quantum Interference Devices (SQUID), that also enable the simultaneous detection of broad band spectra of heteronuclear spin systems. We acquired spectra of 2,2,2-trifluoroethanol and trimethyl phosphate at detection fields varying from 444 nT to 3.34 muT after prepolarizing the sample in a field of 250 muT. Down to a 1H Larmor frequency of 40 Hz, the spectra of trifluoroethanol exhibited four clearly resolvable peaks. The numerical simulation agreed well with the measured spectra. Trimethyl phosphate exhibited two major groups of nonresolved proton lines. At 1H Larmor frequencies below 150 Hz, the separation of the two groups decreased, reflecting the transition from weakly to strongly coupled spin systems. Direct determination of 3J(H,P) from the peak separation is possible only at Larmor frequencies above 150 Hz. The experimental setup allowed an easy adjustment of the detection field over several octaves. This enabled us to adapt the detection field to the best-suited measurement window providing the maximum spectral information. Low-field NMR may open new applications, such as monitoring heteronuclear reactions, low-field imaging, simultaneous NMR/magnetoencephalography measurements, or quantum computing.

Kinetics↗

PubMed2004

Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images.

PURPOSE: To facilitate assessing brain tumor growth and progression of stroke lesions by reproducible slice positioning in human head magnetic resonance (MR) images, a method for prospective registration is proposed that adjusts the image slice position without moving the patient and with no additional scans. MATERIALS AND METHODS: The gradient reference frame of follow-up examinations was adjusted to achieve the same image slice positioning relative to the patient as in the previous examination. The three-dimensional geometrical transformation parameters for the gradients were determined using two-dimensional image registration of three orthogonal localizer images. The method was developed and evaluated using a phantom with arbitrarily adjustable position. Feasibility for in vivo applications was demonstrated with brain MR imaging (MRI) of healthy volunteers. RESULTS: Standard retrospective registration was used for assessing the quality of the method. The accuracy of the realignment was 0.0 mm +/- 1.2 mm and -0.2 degrees +/- 0.9 degrees (mean +/- SD) in phantom experiments. In 10 examinations of volunteers, misalignments up to 49.2 mm and 21 degrees were corrected. The accuracy of the realignment after prospective registration was 0.1 mm +/- 1.5 mm and 0.2 degrees +/- 1.5 degrees. CONCLUSION: Image-based prospective registration using localizer images of the pre- and postexaminations is a robust method for reproducible slice positioning.

Brain↗

PubMed2004

Quantitation of simulated short echo time 1H human brain spectra by LCModel and AMARES.

LCModel and AMARES, two widely used quantitation tools for magnetic resonance spectroscopy (MRS) data, were employed to analyze simulated spectra similar to those typically obtained at short echo times (TEs) in the human brain at 1.5 T. The study focused mainly on the influence of signal-to-noise ratios (SNRs) and different linewidths on the accuracy and precision of the quantification results, and their effectiveness in accounting for the broad signal contribution of macromolecules and lipids (often called the baseline in in vivo MRS). When applied in their standard configuration (i.e., fitting a spline as a baseline for LCModel, and weighting the first data points for AMARES), both methods performed comparably but with their own characteristics. LCModel and AMARES quantitation benefited considerably from the incorporation of baseline information into the prior knowledge. However, the more accurate quantitation of the sum of glutamate and glutamine (Glx) favored the use of LCModel. Metabolite-to-creatine ratios estimated by LCModel with extended prior knowledge are more accurate than absolute concentrations, and are nearly independent of SNR and line broadening.

Brain Chemistry↗

PubMed2004

Magnetic resonance elastography and diffusion-weighted imaging of the sol/gel phase transition in agarose.

The dynamics of the sol/gel phase transition in agarose was analyzed with magnetic resonance elastography (MRE) and diffusion-weighted imaging, providing complementary information on a microstructural as well as on a macroscopic spatial scale. In thermal equilibrium, the diffusion coefficient of agarose is linearly correlated with temperature, independent of the sol/gel phase transition. In larger agarose samples, the transition from the sol to the gel state was characterized by a complex position and temperature dependency of both MRE shear wave patterns and apparent diffusion coefficients (ADC). The position dependency of the temperature was experimentally found to be qualitatively similar to the behavior of the ADC maps. The dynamics of the temperature could be described with a simplified model that described the heat exchange between sol and gel compartments. The experiments supported the approach to derive temperature maps from the ADC maps by a linear relationship. The spatially resolved dynamics of the temperature maps were therefore employed to determine the elasticities. For this reason, experimental MRE data were simulated using a model of coupled harmonic oscillators. The calculated images agreed well with the experimentally observed MRE wave patterns.

Elasticity↗

PubMed2004

XML knowledge database of MRI-derived eye models.

In a model-based approach, MR images were used to build a database of individual eye models. In order to store the features of the specific eye morphology in an extensible, structured and Internet-accessible database, an appropriate XML structure was implemented. A document type definition was developed that managed the data of the correlated feature space and defined associations via training data sets. The classification and retrieval system has been implemented in Java and successfully applied to classify data sets. Classified data were then added to the database. The presented approach can be easily transferred to similar classification implementations.

Eye↗

PubMed2004

Feature extraction and supervised classification of MR images to support proton radiation therapy of eye tumors.

Proton therapy has the potential for high-precision radiotherapy of retinal tumors. However, the standardized eye models currently used do not fully account for the patient's individual anatomy. To better exploit the data provided by MR images, a model-based approach was used based on a database of eye models. A face recognition algorithm was advanced to define similarity criteria between the reference image and the actual image. After building a high-dimensional feature vector and using a training data set, the reference model was selected by using the minimum Mahalanobis distance between the image to be classified and the reference images.

Eye Neoplasms↗

PubMed2003

Metabolic changes in the vicinity of brain contusions: a proton magnetic resonance spectroscopy and histology study.

Proton MR spectroscopy (1H-MRS) has been previously used to monitor metabolic changes in areas of diffuse brain injury. We studied metabolism in the close vicinity of experimental traumatic brain contusions and remote on the contralateral side from 1h to 28d post-injury. Changes of creatine and phosphocreatine (Cr&PCr), N-acetylaspartate (NAA), choline (Cho), inositol (Ino), taurine (Tau), glutamate (Glu), and lactate (Lac) were assessed and compared to neuronal, glial and inflammatory changes in histology. In the pericontusional zone Cr&PCr, NAA, and Glu decreased immediately after trauma by -35%, -60%, and -37%, respectively, related to primary cell disintegration and secondary perturbations as reflected in histology. These metabolites partially recovered at 7d (-15%, -37%, and -21% respectively), in parallel to indicators of repair in immunhistochemistry. Control levels were not regained at 28d, in correlation to a decrease of viable neurons. Cho and Ino, initially lowered by -26% and -31% respectively, increased at 7d by +74% and 31%, reflecting glial activation and proliferation. The signal including the lactate resonance increased by >1000% with a maximum at 7d, possibly related to energy failure, inflammation and glial activation. A partial contribution of lipids to this signal cannot be fully excluded. The contralateral side showed mild astroglial activation in histology, but no changes in 1H-MRS. The study demonstrates the feasibility of volume selective 1H-MRS using the LCModel (Linear Combination of Model in vitro spectra of metabolites solutions) to monitor metabolic changes close to focal traumatic lesions and suggests how metabolic alterations can be differentiated in cause.

Animals↗

PubMed2002

Diffusion- and perfusion-weighted MR imaging in a patient with acute demyelinating encephalomyelitis (ADEM).

To monitor changes of brain tissue metabolism in acute demyelinating encephalitis (ADEM), we examined a patient with suspected ADEM by serial MRI including diffusion- and perfusion-weighted imaging (DWI, PWI). Within the inflammatory tissue, the apparent diffusion coefficients were reduced, normal, and increased. Perfusion varied between reduced and normal values, except for small hyperperfused regions. Combining standard MRI with DWI and PWI may elucidate different overlapping phases in cerebral inflammation.

Adult↗

PubMed2002

Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations.

The ability to study muscle elasticity in vivo would be of great clinical interest. Magnetic resonance elastography (MRE) has the potential to quantify noninvasively the distribution of the shear modulus in muscle tissue. Elasticity information may be derived by extracting frequencies from the wave patterns of phase-contrast MRE images. In a new approach, MRE wave patterns were reconstructed using 3D coupled harmonic oscillator calculations (CHO). To analyze in vivo MRE measurements of the biceps brachii of healthy volunteers, different anisotropic fibrous structures for the couplings between the muscle elements have to be assumed. V-shaped wave patterns as observed when excitation was applied on the tendon were reproduced by a model, where in a central band of stiff fascicles wave propagation was about twice as fast as that in surrounding tissue. Planar waves were observed for excitation near the muscle surface. They could be reconstructed by assuming a simultaneous wave excitation of all muscle fibers, where fibers along the main muscle axis were coupled more strongly than those perpendicular to the axis. The results show that CHO calculations provide a fast and reliable method for incorporating anatomical information of the investigated tissue in the reconstruction of complex wave patterns.

Acoustic Stimulation↗

PubMed2002

Feature-based, automated segmentation of cerebral infarct patterns using T2- and diffusion-weighted imaging.

Diffusion-weighted imaging enables the diagnosis of cerebral ischemias very early, thus supporting therapies such as thrombolysis. However, morphology and tissue-characterizing parameters (e.g. relaxation times or water diffusion) may vary strongly in ischemic regions, indicating different underlying pathologic processes. As the determination of the parameters by a supervised segmentation is very time consuming, we evaluated whether different infarct patterns may be segmented by an automated, multidimensional feature-based method using a unified segmentation procedure. Ischemias were classified into 5 characteristic patterns. For each class, a 3D histogram based on T(2)- and diffusion-weighted images as well as calculated apparent diffusion coefficients (ADC) was generated from a representative data set. Healthy and pathologic tissue classes were segmented in the histogram as separate, local density maxima with freely shaped borders. Segmentation control parameters were optimized in a 3-step procedure. The method was evaluated using synthetic images as well as results of a supervised segmentation. For the analysis of cerebral ischemias, the optimal control parameter set led to sensitivities and specificities between 1.0 and 0.9.

Algorithms↗