Abstract: Image processing techniques may include a methodology for normalizing medical image and/or voxel data captured under different acquisition protocols and a methodology for suppressing selected anatomical structures from medical image and/or voxel data, which may result in improved detection and/or improved rendering of other anatomical structures. The technology presented here may be used, e.g., for improved nodule detection within computed tomography (CT) scans. While presented here in the context of nodules within the lungs, these techniques may be applicable in other contexts with little modification, for example, the detection of masses and/or microcalcifications in full field mammography or breast tomosynthesis based on the suppression of glandular structures, parenchymal and vascular structures in the breast.

Abstract: Image processing techniques may include a methodology for normalizing medical image and/or voxel data captured under different acquisition protocols and a methodology for suppressing selected anatomical structures from medical image and/or voxel data, which may result in improved detection and/or improved rendering of other anatomical structures. The technology presented here may be used, e.g., for improved nodule detection within computed tomography (CT) scans. While presented here in the context of nodules within the lungs, these techniques may be applicable in other contexts with little modification, for example, the detection of masses and/or microcalcifications in full field mammography or breast tomosynthesis based on the suppression of glandular structures, parenchymal and vascular structures in the breast.

Abstract: A technique for segmenting a ribcage, e.g., in a chest radiograph, may involve determining whether or not the top of the image cuts through the lungs. The process may then proceed to segment the top and the sides of the ribcage. A dynamic programming technique may be used to perform the segmentation.

Abstract: A technique for segmenting a ribcage, e.g., in a chest radiograph, may involve determining whether or not the top of the image cuts through the lungs. The process may then proceed to segment the top and the sides of the ribcage. A dynamic programming technique may be used to perform the segmentation.

Abstract: Embodiments of the invention may process an input image using phase symmetry methods and use the resulting processing results to determine an object in the image. The object may be suppressed, if desired.

Abstract: Using identification of their sizes and positions, objects may be attenuated or removed from images. This may involve the use of various filtering operations and may further include coordinate transformations prior to and/or after the filtering. The filtered objects may then be subtracted from the image.