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Kholmovski
Eugene Kholmovski, Salt Lake City, UT US
| Patent application number | Description | Published |
|---|---|---|
| 20100160765 | THERAPEUTIC SUCCESS PREDICTION FOR ATRIAL FIBRILLATION - Certain embodiments of the invention provide methods of assessing a patient's risk for atrial fibrillation (AF) recurrence after receiving treatment with an AF treatment modality, that include determining, from left atrium (LA) tissue image data of a patient, a level of a parameter that is positively proportional to an amount of unhealthy tissue in a wall of the LA of the patient; and outputting, to an output device, an indicator of a comparison between (i) the determined level and (ii) a first threshold level of the parameter, the first threshold level derived from LA tissue image data of at least one other patient, who experienced an AF recurrence after treatment with the AF treatment modality. In certain embodiments, levels of the parameter equal to or greater than the first threshold level are indicative of a significant risk of AF recurrence after treatment with the AF treatment modality. | 06-24-2010 |
| 20100160768 | THERAPEUTIC OUTCOME ASSESSMENT FOR ATRIAL FIBRILLATION - Certain embodiments provide a method of assessing an outcome of an ablative atrial fibrillation (AF) treatment modality administered to a patient, the method including: determining, from left atrium (LA) tissue image data of a subject patient that has undergone an ablative AF treatment with the modality, at least one of: a level of a parameter that is positively proportional or negatively proportional to an amount of ablated tissue in a wall of the LA of the subject patient; and a spatial distribution, in the LA wall, of a variable indicative of ablated LA tissue; and outputting, to an output device, a machine-readable indicator of at least one of: (i) a comparison between the determined level and a threshold level of the parameter; and (ii) a map of the spatial distribution. | 06-24-2010 |
Eugueni Kholmovski, Salt Lake City, UT US
| Patent application number | Description | Published |
|---|---|---|
| 20100298694 | STROKE RISK ASSESSMENT - Certain embodiments provide a method of assessing a risk of thromboembolic stroke in a patient. The method comprises acquiring image data and determining an indicator of a degree of fibrosis of a patient's left atrium (LA) based on the image data. The method also comprises estimating a level of risk of thromboembolic stroke of the patient based on the indicator. | 11-25-2010 |
Evgueni G. Kholmovski, Salt Lake City, UT US
| Patent application number | Description | Published |
|---|---|---|
| 20090087057 | METHOD AND SYSTEM FOR MOTION CORRECTION IN IMAGING SYSTEMS - A method, a system, and a computer-readable medium are provided which perform motion correction of image data. A first set of data and a second set of data of k-space data of an object to be imaged are received. The first set of data and the second set of data include a plurality of phase encoded lines that encompass the object to be imaged. The first set of data correlates with the second set of data. A cross-correlation is calculated by multiplying the first set of data and the second set of data in k-space. A value of the motion of the object to be imaged that occurred between acquisition of the first set of data and acquisition of the second set of data is calculated using the cross-correlation. The second set of data is corrected using the calculated value to remove the motion. The correction process is repeated until the k-space data is completely processed. | 04-02-2009 |
| 20110084693 | SYSTEMS AND METHODS FOR IMAGE RECONSTRUCTION OF SENSITIVITY ENCODED MRI DATA - Methods and systems in a parallel magnetic resonance imaging (MRI) system utilize sensitivity-encoded MRI data acquired from multiple receiver coils together with spatially dependent receiver coil sensitivities to generate MRI images. The acquired MRI data forms a reduced MRI data set that is undersampled in at least a phase-encoding direction in a frequency domain. The acquired MRI data and auto-calibration signal data are used to determine reconstruction coefficients for each receiver coil using a weighted or a robust least squares method. The reconstruction coefficients vary spatially with respect to at least the spatial coordinate that is orthogonal to the undersampled, phase-encoding direction(s) (e.g., a frequency encoding direction). Values for unacquired MRI data are determined by linearly combining the reconstruction coefficients with the acquired MRI data within neighborhoods in the frequency domain that depend on imaging geometry, coil sensitivity characteristics, and the undersampling factor of the acquired MRI data. An MRI image is determined from the reconstructed unacquired data and the acquired MRI data. | 04-14-2011 |