Abstract: A medical diagnostic ultrasound imaging system aligns substantially co-planar two-dimensional images to form an extended field of view using improved compounding methods. Compounding with a finite impulse response is used for more versatile compositing. The compounding is adaptive, such as through adapting the image regions, weighting, or type of compounding as a function of correlation, location within the image, estimated motion or combinations thereof. A user warning is provided as a function of the correlation between images.

Abstract: An extended field of view medical diagnostic ultrasound image is corrected for distortion associated with azimuthal motion of the transducer. The actual azimuthal motion is determined from the original, motion-distorted estimate of transducer motion, and this actual transducer motion is then used to correct dimensional errors in the extended field of view image.

Abstract: An medical diagnostic ultrasonic image processing method estimates motion between first and second composite ultrasonic images that include both B-mode and Color Doppler information, First and second B-mode images are extracted from the first and second composite ultrasonic images, respectively, and then motion is estimated between the first and second B-mode images. The estimated motion is then used to compose a multi-frame image using at least portions of the composite ultrasonic images or derivatives of the composite ultrasonic images, such as the B-mode images.

Abstract: A medical diagnostic ultrasonic imaging system acquires image data for at least two frames at each of multiple positions, each frame identified with a respective phase of a physiological cycle. A multiphase 3-D or extended field of view data set is constructed from the image data. Then a plurality of images are generated from the multiphase data set. Each image is associated with a respective phase of the physiological cycle, and these images are displayed in sequence to a user.

Abstract: A 3-D medical diagnostic ultrasonic imaging system corrects the elevational position of individual pixels based on the elevational motion of the transducer probe and the azimuthal position of individual pixels. In this way, the correct spatial position and orientation of multi-frame, sequentially required images is obtained, and 3-D volume reconstruction is made more accurate. Optionally, the acquired images and the measure of transducer in-plane translation and rotation are also corrected for azimuthal motion of the transducer.

Abstract: An medical diagnostic ultrasonic image processing method estimates motion between first and second composite ultrasonic images that include both B-mode and Color Doppler information. First and second B-mode images are extracted from the first and second composite ultrasonic images, respectively, and then motion is estimated between the first and second B-mode images. The estimated motion is then used to compose a multi-frame image using at least portions of the composite ultrasonic images or derivatives of the composite ultrasonic images, such as the B-mode images.

Abstract: A method and system for registration of multiple ultrasound images or frames of data are provided. The images are registered as a function of relative movement of the transducer. A feature or feature pattern, such as one or more structural edges, are identified in one image. The feature or feature pattern is represented by fewer than all of the data points within a frame of data. Based on the identification of a particular feature or feature pattern, relative motion is estimated by correlating the feature pattern with another image in various relative positions. The best correlation is selected. The motion is estimated by selecting a translation and rotation of the position associated with the best correlation. The frames of data are registered and compounded to generate the panoramic field of view image as a function of the estimated motion. The panoramic field of view image comprises a B-mode image, or a color Doppler image, or an image that is a combination of both. The imaging may be static or dynamic.