Ultrasound diagnostic apparatus, image processing apparatus, and image processing method

US10376236B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10376236-B2
Application numberUS-201514717646-A
CountryUS
Kind codeB2
Filing dateMay 20, 2015
Priority dateNov 21, 2012
Publication dateAug 13, 2019
Grant dateAug 13, 2019

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Abstract

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An ultrasound diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry sets a ROI in ultrasound image data that corresponds to at least one temporal phase and is among moving image data of two-/three-dimensional ultrasound image data acquired while using a region containing a tissue in motion as an image taking target. The processing circuitry obtains first position information of an estimated ROI based on movement information and second position information of an estimated ROI based on information other than the movement information, in ultrasound image data corresponding to the other remaining temporal phases within an acquisition period of the moving image data. The processing circuitry tracks the ROI, by obtaining position information combining the first and second position information based on an index related to reliability of the movement information, as position information of the ROI.

First claim

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What is claimed is: 1. An ultrasound diagnostic apparatus comprising: an ultrasound probe configured to emit ultrasound waves and detect reflected waves that are used to generate ultrasound image data, the ultrasound image data representing two- or three-dimensional ultrasound images of a target-including region containing a tissue in motion, the ultrasound images corresponding to a plurality of temporal phases; and processing circuitry configured to set, for at least one temporal phase of the plurality of temporal phases, a two- or three-dimensional region of interest in the ultrasound image data, the region of interest representing a portion of the tissue, obtain movement information by a tracking process using the ultrasound images, wherein the movement information represents motion vectors of first points in the region of interest, and corresponds to a likelihood that when a first point is translated according to the motion vectors relative to positions within the respective ultrasound images, the positions within the respective ultrasound images refer to a same location on the target, obtain a reliability index based on indicia of reliability of the movement information including at least one variable obtained from the tracking process, determine, using the movement information, movement-based positions, which are first estimates of positions of the region of interest in ultrasound images corresponding to remaining temporal phases, which are temporal phases of the plurality of temporal phases other than the at least one temporal phase, determine, using shape information of a shape of the tissue, shape-based positions, which are second estimates of the positions of the region of interest in the ultrasound images corresponding to the remaining temporal phases, the shape-based positions being determined by estimating the shape of the tissue in the remaining temporal phases and then determining the second estimates of the positions of the region of interest from the estimated shape of the tissue in the remaining temporal phases, combine the movement-based positions with the shape-based positions by weighting the movement-based positions relative to the shape-based positions based on the reliability index, to generate position information of the region of interest, the weighting being performed such that, for a value of the reliability index indicating a greater reliability of the movement information, a contribution to the generated position information by the movement-based positions is increased relative to a contribution by the shape-based positions, and track the region of interest using the position information of the region of interest by updating the region of interest with respect to time in accordance with changes of the region of interest represented by the position information. 2. The ultrasound diagnostic apparatus according to claim 1 , wherein the plurality of temporal phases correspond to a time period of at least one cyclic period and the ultrasound images were acquired when the tissue was in periodic motion. 3. The ultrasound diagnostic apparatus according to claim 1 , wherein the processing circuitry is configured to estimate the movement information between a first image of the ultrasound image data corresponding to a first temporal phase of the plurality of temporal phases and a second image of the ultrasound image data corresponding to a second temporal phase of the plurality of temporal phases, which is temporally adjacent to the first temporal phase, estimate the movement-based positions in the second image by moving the region of interest in the first image based on the estimated movement information, and estimate the shape-based positions in the second image. 4. The ultrasound diagnostic apparatus according to claim 3 , wherein the processing circuitry is configured to estimate the movement-based positions by calculating motion vectors at second points in a region that contains the region of interest, selecting the first points to be tracking points structuring the region of interest, eliminating statistically-abnormal motion vectors from the calculated motion vectors to generate remaining motion vectors, and estimating the motion vectors at the first points using the group of remaining motion vectors, and define the reliability index based on said at least one variable, wherein said at least one variable is one or more of a density of the remaining motion vectors in vicinal regions of the first points and a variance of motion vectors at the first points in vicinal regions of the first points. 5. The ultrasound diagnostic apparatus according to claim 3 , wherein the processing circuitry is configured to estimate, for each of the first points, which are tracking points structuring the region of interest, and for a time interval between the first image and the second image, forward-direction motion vectors representing motions forward in time from the first temporal phase to the second temporal phase, as well as backward-direction motion vectors representing motions backward in time from the second temporal phase to the first temporal phase, and define the reliability index based on said at least one variable, wherein said at least one variable includes a degree of matching between the forward-direction motion vector and the backward-direction motion vector at respective first points. 6. The ultrasound diagnostic apparatus according to claim 3 , wherein the processing circuitry is configured to calculate motion vectors at second points in a region that contains the region of interest by performing a template matching process, and define the reliability index based on said at least one variable, wherein said at least one variable includes one or more of a level of similarity between templates used in the template matching process, a signal variance value of a standard template used in the template matching process, and an average signal value of the standard template. 7. The ultrasound diagnostic apparatus according to claim 3 , wherein the processing circuitry is configured to estimate the shape-based positions by using one or more of comparing a shape of the shape-based positions of the second image with shape dictionary information corresponding to a same temporal phase as the second image; minimizing a shape energy of the shape of the shape-based positions of the second image; and fitting the shape of the shape-based positions of the second image using a least square method. 8. The ultrasound diagnostic apparatus according to claim 3 , wherein the processing circuitry is configured to perform the combining of the movement-based positions with the shape-based positions using a weighted addition of the movement-based positions and the shape-based positions in such a manner that a larger weight is applied to estimates of the positions of the region of interest of the movement-based positions corresponding to first points for which the reliability index indicates greater reliability. 9. The ultrasound diagnostic apparatus according to claim 1 , further comprising: controlling circuitry configured to, for a temporal phase of the plurality of temporal phases, cause the processing circuitry to output the movement-based positions as the position information of the region of interest when an average of values of the reliability index corresponding to the region of interest and the temporal phase is equal to or larger than a predetermined threshold value, and cause the processing circuitry to output the position information resulting from combining the movement-based positions with the shape-based positions as the position information of the region of interest when the average is smaller than the predetermin

Assignees

Inventors

Classifications

  • A61B8/0883Primary

    for diagnosis of the heart · CPC title

  • involving processing of raw data to produce diagnostic data, e.g. for generating an image · CPC title

  • using feature-based methods, e.g. the tracking of corners or segments · CPC title

  • Heart; Cardiac · CPC title

  • Ultrasound image · CPC title

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What does patent US10376236B2 cover?
An ultrasound diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry sets a ROI in ultrasound image data that corresponds to at least one temporal phase and is among moving image data of two-/three-dimensional ultrasound image data acquired while using a region containing a tissue in motion as an image taking target. The processing circuitry obta…
Who is the assignee on this patent?
Canon Medical Systems Corp
What technology area does this patent fall under?
Primary CPC classification A61B8/0883. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Aug 13 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).