Siemens Medical Solutions USA, Inc.

Siemens Medical Systems, Inc.

University of Michigan

Jian-Feng Chen

Patrick Von Behren

Lee Weng

Jonathan M Rubin

Dong-Chyuan Liu

J Brian Fowlkes

Paul Langford Carson

Lin-Xin Yao

Jin Young Kim

Patrick L Von Behren

Dong-Cyuan Liu

Aaron Moskalik

A method and system for quantification of strain imaging is disclosed. The method and system comprises performing a motion analysis on the at least two regions of interest. The method and system further includes providing a strain estimate for each of the at least two regions of interest and comparing the strain estimates of each of the at least two regions to quantify the strain for the at least two regions of interest. A system and method in accordance with the present invention provides for strain quantification based on conventional B-mode images. Using this technique, the strain of regions of interest (ROI) defined by users can be determined and quantitative comparisons can be effectively made in real time. The strain quantification can be used to determine tissue's properties and can potentially be applied in breast imaging as well as cardiac imaging.

Method and system for improving the spatial resolution for strain imaging

Three or four-dimensional ultrasound data acquisition for extended field of view imaging is provided. Multiple volumes are registered with respect to each other and spliced together to form an extended volume. The extended volume is a contiguous volume larger than a volumetric region that a multi-dimensional or wobbler transducer array is capable of imaging without movement. Information representing different volumes is registered with respect to each other by sensing the transducer position associated with each of the different volumes. The position is sensed using a position sensing mechanism, such as magnetic optical or gyroscope measurements. Acoustic data may be used to determine decorrelation of speckle or correlation of features to sense position. After the volumes are registered, any overlapping regions are compounded. The resulting extended field of view volume is displayed and manipulated for viewing by the user. A large volume or extended volume of the patient is used for assessing an organ, such as an entire fetus in OB applications.

Extended volume ultrasound data acquisition

Method of dynamically measuring movement of objects is disclosed which uses image processing. In a first step a sequence of images is received and stored. Then, at least a first and second reference point within a first image is determined and identification areas around those reference points are defined. Within a sequential image a search area around the predefined reference points which best match the identification area is searched to determine the displacement of the reference point.

Dynamic measurement of object parameters

A region of interest (ROI) of a patient's body is repeatedly scanned using an ultrasound transducer array. Data sets representing an image property, such as intensity, from portions of the ROI are used to calculate a representation of the displacement profile within the ROI at different stress levels. From the displacement profile, a function of strain is also preferably calculated. According to one aspect of the invention, a data set representing an estimate of the elasticity profile within the ROI is color-coded and is displayed along with a B-mode display in a single, overlaid display. According to another aspect of the preferred embodiment of the invention, the display of elasticity is adaptively persisted as a function of, for example, a measure of image quality. The invention also provides an on-screen guide that indicates to a user a measure of quality of each of a series of estimated displacement data sets.

System and method for strain image display

A 3-D region of interest (ROI) of a body is imaged, preferably using an ultrasound transducer. The intensity of an echo signal from each of a pattern of pixels within the ROI is measured and stored. The pixels are then grouped into pixel blocks, and the intensity values for the pixels in each sequentially selected current block are compiled in a current histogram. Each current histogram is compared with a reference histogram that corresponds to the distribution of echo signal intensities in a known region of speckle. A structure likelihood value is then computed based on the comparison, where the structure likelihood value indicates how likely it is that the current block corresponds to a structure of interest as opposed to noise. The intensity value for any pixel likely to be noise is preferably scaled down. The scaled intensity values are then projected, preferably using a maximum intensity projection, onto a 2-D display plane, a representation of which is then displayed for a user to see. The invention is able to image structures throughout the 3-D ROI even when they would otherwise be obscured by the speckle.

3-D ultrasound imaging system and method

Method and apparatus for composition and display of three-dimensional

A system and method for 3-D ultrasound image registration and 3-D motion estimation. A calibrated 3-D speckle function is first pre-determined for the transducer and the tissue to be scanned. A series of image frames are identified and grouped into 3-D big and small blocks. Blocks representing speckle are identified and then, a full width half maximum value sum-absolute-difference technique is used to obtain an out-of-plane motion estimation based on decorrelation characteristics throughout the volume. For in-plane motion estimation, cross-correlation characteristics between pairs of frames are compared and, using a minimum sum absolute value technique, an estimate of in-plane motion is obtained. Fuzzy logic techniques are then used to obtain more accurate estimates. Finally, the out-of-plane motion estimate is updated based on decorrelation characteristics of the speckle frames used for the in-plane determination using a full width half maximum value technique.

System and method for 3-D ultrasound imaging and motion estimation

An ultrasound system (50) estimates the speed of sound in the tissue (60) under examination. The ultrasound system obtains a series of test images (150) using different estimates of the speed of sound in the body tissue. For each image produced, the ultrasound system computes a function that is indicative of image quality for one or more regions of interest (152) in the test image. The image quality function exhibits a minimum or maximum when computed for a region of interest obtained at a speed of sound substantially equal to a true speed of sound in the tissue. The ultrasound system selects the test image having the minimum or maximum function value and obtains subsequent images of the tissue using the speed of sound used to obtain the test image selected.

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Issaquah, WA, United States of America

Jian-Feng Chen