Abstract:
Exemplary embodiments are directed to estimating an electrical property of tissue using Magnetic Resonance (MR) images. In exemplary embodiments, complex MR images of a target tissue are obtained. An estimated value of an electrical property of the target tissue is determined based on complex values of the pixels in the complex MR images. The complex values are proportional to the product of the transmit radio frequency magnetic field and the receive RF magnetic field.
Abstract:
A system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system, the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system, and a DBS functional atlas is accessed, via the predictor system, that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system.
Abstract:
A system and method for predicting an excitation pattern of a deep brain stimulation (DBS) from monitored bioelectrical signals includes an apparatus having a housing having a signal input and a signal output and an electrical circuit disposed within the housing. The electrical circuit is electrically coupled between the signal input and the signal output and is configured to receive bioelectrical signals corresponding to an excitation signal transmitted by a pulse generator during a DBS. The electrical circuit is also configured to convert the bioelectrical signals into digital logic pulses, predict a future timing pattern of the excitation signal from the digital logic pulses, and generate an output from the future timing pattern, the output comprising a log of time stamps predictive of future active transmission periods of neurological excitation.
Abstract:
A system and method for predicting an excitation pattern of a deep brain stimulation (DBS) from monitored bioelectrical signals includes an apparatus having a housing having a signal input and a signal output and an electrical circuit disposed within the housing. The electrical circuit is electrically coupled between the signal input and the signal output and is configured to receive bioelectrical signals corresponding to an excitation signal transmitted by a pulse generator during a DBS. The electrical circuit is also configured to convert the bioelectrical signals into digital logic pulses, predict a future timing pattern of the excitation signal from the digital logic pulses, and generate an output from the future timing pattern, the output comprising a log of time stamps predictive of future active transmission periods of neurological excitation.
Abstract:
Exemplary embodiments are directed to estimating an electrical property of tissue using Magnetic Resonance (MR) images. In exemplary embodiments, complex MR images of a target tissue are obtained. An estimated value of an electrical property of the target tissue is determined based on complex values of the pixels in the complex MR images. The complex values are proportional to the product of the transmit radio frequency magnetic field and the receive RF magnetic field.
Abstract:
The system and method of the invention pertains to an MR-guided breast biopsy procedure, specifically as to quickly identifying the biopsy location. More particularly, the system utilizes a diagnostic imaging modality such as magnetic resonance imaging (MRI) to locate one or more lesions in a human breast. Non-rigid registration between uncompressed screening images (where the lesion has been previously identified) and the compressed biopsy images enables easier identification of the biopsy site, hence shortening the biopsy procedure.
Abstract:
A breast biopsy system utilizing a needle biopsy device configured for guidance by a robotic guidance device into a treatment position wherein the needle tip is positioned adjacent target tissue in patient. The system including an MRI compatible device localization system adapted to track one or more points on the needle biopsy device and generate real-time device localization data. A Magnetic Resonance Imaging (MRI) system provides a multi-planar reference image data from the patient being treated. The MRI system is connected to the MRI compatible device localization system and operable to display an overlay image, reconstructed from the real-time device localization data, on the multi-planar reference image data which depicts the location of the needle biopsy device relative to the target tissue in the patient. A method of performing a breast biopsy utilizing the disclosed breast biopsy system is also provided
Abstract:
Exemplary embodiments of the present disclosure are directed to estimating an electrical property of tissue using MR images. Complex values having real components and imaginary components are generated and are associated with pixels in one or more MR images that corresponding to a region of tissue for which the electrical property is constant. An estimated value of the electrical property for the region of tissue is determined based on a least squared error estimation applied to the complex values.
Abstract:
A system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system, the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system, and a DBS functional atlas is accessed, via the predictor system, that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system.
Abstract:
A system and method for localizing a deep brain stimulation electrode in vivo in a subject or object is provided. A magnetic resonance imaging system obtains MR image data from a volume-of-interest by way of a zero echo time (ZTE) or ultrashort echo time (UTE) pulse sequence, with one or more of a phase domain image and a magnitude domain image being analyzed from the MR image data acquired by the ZTE or UTE pulse sequence. One or more electrodes are localized within the volume-of-interest based on an analysis of the phase domain image and/or magnitude domain image. In localizing the electrodes, a multi-scale correlation-based analysis of the volume-of-interest is performed to estimate at least one of an electrode center and electrode contact locations of the electrode, with the localization being achieved with a fast scan-time and with a high level of accuracy and precision.