| Patent application number | Description | Published |
|---|
| 20080310716 | EDITING OF PRE-SEGMENTED IMAGES USING SEEDS DERIVED FROM CONTOURS - A method for processing an object in image data includes the steps of drawing a contour on a pre-segmentation of an object in image data, generating at least one seed point on the pre-segmentation from an intersection of the contour and the pre-segmentation, providing a weighting factor between the seed points and the pre-segmentation, and segmenting the pre-segmentation using the seed points and the weighting factor to generate a new pre-segmentation. | 12-18-2008 |
| 20090097727 | 3D General Lesion Segmentation In CT - A general purpose method to segment any kind of lesions in 3D images is provided. Based on a click or a stroke inside the lesion from the user, a distribution of intensity level properties is learned. The random walker segmentation method combines multiple 2D segmentation results to produce the final 3D segmentation of the lesion. | 04-16-2009 |
| 20090232371 | Automatic Recovery of the Left Ventricular Blood Pool in Cardiac Cine Magnetic Resonance Images - An exemplary embodiment of the present invention includes a method of detecting a left ventricle blood pool. The method includes: localizing a region of interest (ROI) in a three-dimensional temporal (3D+T) image based on motion information of each slice of the 3D image over time, thresholding the ROI to determine pixels of the ROI that correspond to blood, extracting connected components from the determined pixels, clustering the extracted connected components into groups based on criteria that are indicative of a blood pool of a left ventricle, and selecting one of the groups as the left ventricle blood pool. | 09-17-2009 |
| 20090240136 | Contrast-invariant registration of cardiac and renal magnetic resonance perfusion images - A system and method are provided for contrast-invariant registration of images, the system including a processor, an imaging adapter or a communications adapter for receiving an image data sequence, a user interface adapter for selecting a reference frame from the image sequence or cropping a region of interest (ROI) from the reference frame, a tracking unit for tracking the ROI across the image sequence, and an estimation unit for segmenting the ROI in the reference frame or performing an affine registration for the ROI; and the method including receiving an image sequence, selecting a reference frame from the image sequence, cropping a region of interest (ROI) from the reference frame, tracking the ROI across the image sequence, segmenting the ROI in the reference frame, and performing an affine registration for the ROI. | 09-24-2009 |
| 20090290775 | Method and System for Selecting the Number of Gaussian Modes for the Segmentation of Cardiac Magnetic Resonance (MR) Images - A method for automatically selecting a number of Gaussian modes for segmentation of a cardiac magnetic resonance (MR) image, including: identifying a left ventricle (LV) in a cardiac MR image slice; quantifying the LV blood pool; obtaining a mask for the LV blood pool; generating a ring mask for a myocardium of the LV from the LV blood pool mask; fitting three Gaussian modes to a histogram of the image slice to obtain a corresponding homogeneity image for the myocardium; computing a quality of fitting (QOF) measure for the three Gaussian modes based on the corresponding homogeneity image; repeating the fitting and computing steps for four and five Gaussian modes; and selecting the homogeneity image of the number of Gaussian modes with the largest QOF measure as the homogeneity image for processing. | 11-26-2009 |
| 20090290776 | Automatic Determination Of Field Of View In Cardiac MRI - A method for automatically determining a field of view for performing a subsequent medical imaging study includes acquiring one or more preliminary images. A body mask is generated by thresholding the preliminary images and identifying a largest connected component. A boundary mask is obtained from the boundary of the generated body mask. A rectangular bounding box is fit to the obtained boundary mask. The rectangular bounding box is used as a field of view for performing a subsequent medical imaging study. | 11-26-2009 |
| 20090290777 | AUTOMATIC LOCALIZATION OF THE LEFT VENTRICLE IN CARDIAC CINE MAGNETIC RESONANCE IMAGING - A method for automatically localizing left ventricle in medical image data includes acquiring a sequence of three-dimensional medical images spanning a cardiac cycle. Each of the images includes a plurality of two-dimensional image slices, one of which is defined as a template slice. The template slice of each medical image of the sequence is automatically cropped to include the heart and a margin around the heart based on temporal variations between pixels of the template slice throughout the sequence of medical images. The template slice of each medical image of the sequence is automatically contoured to determine the endo-cardial and epi-cardial boundaries for at least the end-diastolic and end-systolic phases. Localization information is generated for the left ventricle based on the determined endo-cardial and epi-cardial boundaries for at least the end-diastolic and end-systolic phases. | 11-26-2009 |
| 20100121175 | Automatic Femur Segmentation And Condyle Line Detection in 3D MR Scans For Alignment Of High Resolution MR - A method for automatic femur segmentation and condyle line detection. The method includes: scanning a knee of a patient with medical imaging equipment to obtain 3D imaging data with such equipment; processing the obtained 3D imaging data in a digital processor to determine two lines tangent to the bottom of the knee condyles in an axial and a coronal plane; and automatically scanning the patient in the defined plane. The processing includes: determining an approximate location of the knee; using the determined the location to define a volume of interest; segmenting the femur in the defined volume of interest; and determining a bottom point on the femur portion on a right side and a left side of the segmented femur in an axial and a coronal slice to determine the two lines. | 05-13-2010 |
| 20110081066 | SYSTEM AND METHOD FOR CARDIAC SEGMENTATION IN MR-CINE DATA USING INVERSE CONSISTENT NON-RIGID REGISTRATION - A method for cardiac segmentation in magnetic resonance (MR) cine data, includes providing a time series of 3D cardiac MR images acquired at a plurality of phases over at least one cardiac cycle, in which each 3D image includes a plurality of 2D slices, and a heart and blood pool has been detected in each image. Gray scales of each image are analyzed to compute histograms of the blood pool and myocardium. Non-rigid registration deformation fields are calculated to register a selected image slice with corresponding slices in each phase. Endocardium and epicardium gradients are calculated for one phase of the selected image slice. Contours for the endocardium and epicardium are computed from the gradients in the one phase, and the endocardium and epicardium contours are recovered in all phases of the selected image slice. The recovered endocardium and epicardium contours segment the heart in the selected image slice. | 04-07-2011 |
