Abstract: The present invention provides a method to detect tube spits and to reduce spit related artifacts in a computed tomography imaging system. A way of detecting tube spit is to monitor the generator kilovolt or milliamp waveforms. Changes in kV waveform follow closely with those in offset-corrected projection data. If a tube-spit event is not detected, processing proceeds without tube spit correction. If a tube-spit event is detected, a tube spit correction is performed. The objective of tube-spit correction is to remove image artifacts due to the occurrence of a tube-spit event.

Abstract: Certain embodiments include a system and method for banding suppression in a B-mode ultrasound image. Banding occurs in a diagnostic image when two or more focal regions having different waveforms and/or frequencies, for example, are combined. The resulting difference in intensity between the focal regions produces banding in the final image. For purposes of illustration only, the method below will be described with two focal zones. Certain embodiments of the present invention reduce banding in a diagnostic image including a plurality of focal zones by processing the first focal zone, determining intensity around the border or “stitch line” between the two focal regions, and adjusting the second focal region based on the difference in intensity. Preferably, processing is done in real time as image frames are updated.

Abstract: Certain embodiments include a system and method for banding suppression in a B-mode ultrasound image. Banding occurs in a diagnostic image when two or more focal regions having different waveforms and/or frequencies, for example, are combined. The resulting difference in intensity between the focal regions produces banding in the final image. For purposes of illustration only, the method below will be described with two focal zones. Certain embodiments of the present invention reduce banding in a diagnostic image including a plurality of focal zones by processing the first focal zone, determining intensity around the border or “stitch line” between the two focal regions, and adjusting the second focal region based on the difference in intensity. Preferably, processing is done in real time as image frames are updated.

Abstract: 1 method is provided for obtaining an extended field of view diagnostic ultrasound image. A first image frame and a second image frame of an object of interest are acquired. The image frames are rotated relative to one another. Pixel points, representing spatial points in the object of interest, are identified in the first image frame. Pixel points corresponding to the pixel points in the first image frame are then computed in the second image frame. A rotation angle between the first and the second image frames is calculated based on a least-squares relation between the pixel points. The first and second image frames are combined to form a part of an extended field of view image.

Abstract: 1 method is provided for obtaining an extended field of view diagnostic ultrasound image. image frame and a second image frame of an object of interest are acquired. The image are rotated relative to one another. Pixel points, representing spatial points in the object rest, are identified in the first image frame. Pixel points corresponding to the pixel points first image frame are then computed in the second image frame. A rotation angle en the first and the second image frames is calculated based on a least-squares relation en the pixel points. The first and second image frames are combined to form a part of an ded field of view image.