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Biomedical subjects

K Sekihara

Publications and source records attributed to K Sekihara.

15 recordsLinked to original sources
PubMed1998

MEG covariance difference analysis: a method to extract target source activities by using task and control measurements.

A method is proposed for extracting target dipolesource activities from two sets of evoked magnetoencephalographic (MEG) data, one measured using task stimuli and the other using control stimuli. The difference matrix between the two covariance matrices obtained from these two measurements is calculated, and a procedure similar to the MEG-multiple signal classification (MUSIC) algorithm is applied to this difference matrix to extract the target dipole-source configuration. This configuration corresponds to the source-configuration difference between the two measurements. Computer simulation verified the validity of the proposed method. The method was applied to actual evoked-field data obtained from simulated task-and-control experiments. In these measurements, a combination of auditory and somatosensory stimuli was used as the task stimulus and the somatosensory stimulus alone was used as the control stimulus. The proposed covariance difference analysis successfully extracted the target auditory source and eliminated the disturbance from the somatosensory sources.

Algorithms↗
PubMed1997

Noise covariance incorporated MEG-MUSIC algorithm: a method for multiple-dipole estimation tolerant of the influence of background brain activity.

This paper proposes a method of localizing multiple current dipoles from spatio-temporal biomagnetic data. The method is based on the multiple signal classification (MUSIC) algorithm and is tolerant of the influence of background brain activity. In this method, the noise covariance matrix is estimated using a portion of the data that contains noise, but does not contain any signal information. Then, a modified noise subspace projector is formed using the generalized eigenvectors of the noise and measured-data covariance matrices. The MUSIC localizer is calculated using this noise subspace projector and the noise covariance matrix. The results from a computer simulation have verified the effectiveness of the method. The method was then applied to source estimation for auditory-evoked fields elicited by syllable speech sounds. The results strongly suggest the method's effectiveness in removing the influence of background activity.

Algorithms↗
PubMed1996

Detecting cortical activities from fMRI time-course data using the MUSIC algorithm with forward and backward covariance averaging.

A method is proposed for processing time-course fMRI data taken with successive single-shot echo-planar imaging. The proposed method uses a two-dimensional version of the multiple signal classification (MUSIC) algorithm and the technique called covariance averaging, both of which were developed in the field of sensor-array processing. The proposed method consists of four steps: calculate the averaged data covariance matrix, determine the number of activities using this covariance matrix, estimate the locations of the activities, and estimate their time evolution curves. Computer simulation results showed that a nearly fourfold improvement in the spatial resolution can be attained due to the method's super-resolution capability.

Algorithms↗
PubMed1996

Suppression of background brain activity influence in localizing epileptic spike sources from biomagnetic measurements.

The origin of inter-ictal epileptic activity can be localized from the magnetoencephalogram (MEG) using the Equivalent Current Dipole (ECD) as a source model. One problem with such localizations is that in many patients, the localization of an epileptic spike source becomes inaccurate because the epileptic spikes are superimposed by pathologic brain rhythmic activities. This paper proposes to use the spatial coherence of the measured magnetic field caused by the measured magnetic field to suppress its influence in the ECD localization. In the method proposed here, the covariance matrix, which expresses the spatial coherence of the rhythmic magnetic field, is first calculated using a data portion where no spikes exist and rhythmic slow waves are evident. Then, ECD localization is performed by minimizing the least-squares cost function modified by the covariance matrix. Experiments using a computer generated ECD field and rhythmic slow waves measured from a patient suffering from complex partial epilepsy prove the basic effectiveness of the method proposed. Localizations of actual spike sources in the same clinical data are performed, and results indicating the effectiveness of the proposed method are obtained.

Brain↗
PubMed1996

Reconstruction of two-dimensional current distribution from tangential MCG measurement.

We describe a two-dimensional reconstruction method for tangential magnetocardiograms (MCGs). This method is based on two-dimensional Fourier analysis, and we used a new type of window function for tangential MCG to solve the problem of the small number of measurement points. By using this method, cardiac activity can be estimated as a two-dimensional current distribution. To determine the effectiveness of this method, we measured tangential MCGs of normal subjects, and compared the estimated current distribution with the actual cardiac muscle activity. Using this method, we were able to clearly show cardiac activity.

Adult↗
PubMed1996

Generalized Wiener estimation of three-dimensional current distribution from biomagnetic measurements.

This paper proposes a method for estimating three-dimensional (3-D) biocurrent distribution from spatio-temporal biomagnetic data. This method is based on the principle of generalized Wiener estimation, and it is formulated based on the assumption that current sources are uncorrelated. Computer simulation demonstrates that the proposed method can reconstruct a 3-D current distribution where the conventional least-squares minimum-norm method fails. The influence of noise is also simulated, and the results indicate that a signal-to-noise ratio of more than 20 for the uncorrelated sensor noise is needed to implement the proposed method. The calculated point spread function shows that the proposed method has very high spatial resolution compared to the conventional minimum norm method. The results of computer simulation of the distributed current sources are also presented, including cases where current sources are correlated. These results suggest that no serious errors arise if the source correlation is weak.

Artifacts↗
PubMed1995

Average-intensity reconstruction and Wiener reconstruction of bioelectric current distribution based on its estimated covariance matrix.

This paper proposes two methods for reconstructing current distributions from biomagnetic measurements. Both of these methods are based on estimating the source-current covariance matrix from the measured-data covariance matrix. One method is the reconstruction of average current intensity distributions. This method first estimates the source-current covariance matrix and, using its diagonal terms, it reconstructs current intensity distributions averaged over a certain time. Although the method does not reconstruct the orientation of each current element at each time instant, it can retrieve information regarding the current time-averaged intensity at each voxel location using extremely low SNR data. The second method is Wiener reconstruction using the estimated source-current covariance matrix. Unlike the first method, this Wiener reconstruction can provide a current distribution with its orientation at each time instant. Computer simulation shows that the Wiener method is less affected by the choice of the regularization parameter, resulting in a method that is more effective than the conventional minimum-norm method when the SNR of the measurement is low.

Computer Simulation↗
PubMed1994

Multiple current dipole estimation using simulated annealing.

A method for estimating electrical current distribution in the human brain using a multiple current dipole model is presented. A cost function for estimating multiple dipoles is proposed and a simulated annealing algorithm is used to obtain an acceptable solution. Computer simulation is used to evaluate the effectiveness of this method.

Algorithms↗
PubMed1993

Relationship between dipole parameter estimation errors and measurement conditions in magnetoencephalography.

The relationship between dipole parameter estimation errors and measurement conditions in magnetoencephalography is determined by computer simulation. The model uses a single current dipole in a spherical homogeneous medium. Dipole parameters are estimated using a moving dipole procedure. Signal-to-noise ratio (SNR) is defined as the square-root of the ratio of the average signal power to the average noise power over all measurement points. At SNR > 20, accurate estimation can be carried out independently of dipole depth and coil size. At SNR < 20, dipole depth influences estimation error. When the dipole is located near the center of the sphere, the measurement region should include both extrema of the magnetic field to minimize estimation error. However, when the dipole is not so deep, the position of the measurement region does not influence estimation error. When SNR < 4, estimation error increases as coil size increases. Coil size minimizing estimation error is determined by the ratio of environmental magnetic field noise to electrical noise. For a constant size of measurement region, increasing the number of measurement points decreases estimation error to a certain level. This error level depends on SNR. The number of measurement points required to minimize estimation error also depends on SNR.

Computer Simulation↗
PubMed1987

Serum gamma-GTP levels by type and quantity of alcohol consumed--the 'whisky hypothesis' refuted.

Serum gamma-GTP measurements in 11,755 Japanese men were used to test the hypothesis that drinking whisky had little or no effect on the serum level of this enzyme. We found that regular drinking was associated with significantly increased mean levels and raised percentages of high values of gamma-GTP, irrespective of the type of alcohol consumed. Moreover, heavier and more frequent drinking were associated with proportionately greater increases in gamma-GTP levels. Our data therefore refute the hypothesis that whisky drinking is not accompanied by adverse changes in the level of serum gamma-GTP.

Alcoholic Beverages↗
PubMed1984

Image restoration from non-uniform magnetic field influence for direct Fourier NMR imaging.

A new technique is proposed for NMR image restoration from the influence of main magnetic field non-uniformities. This technique is applicable to direct Fourier NMR imaging. The mathematical basis and details of this technique are fully described. Modification to include image restoration from non-linear field gradient influence is also presented. Computer simulation demonstrates the effectiveness of this technique for both Fourier zeugmatography and spin-warp imaging.

Fourier Analysis↗
PubMedDate not supplied

Image restoration from nonuniform static field influence in modified echo-planar imaging.

Experimental results of images restored from the influence of nonuniform static fields in modified echo-planar imaging are presented. The same restoration technique is used as that proposed for Fourier imaging. Experimental results show that both density variation and geometrical distortion can almost completely be eliminated in the restored image. Image restoration can relax the stringent requirement on the amplitude of the time-modulated gradient needed in modified echo-planar imaging.

Magnetic Resonance Imaging↗