Non-rigid motion image analysis
First Claim
Patent Images
1. A method of analysing a sequence of images of a deformable object in non-rigid motion, comprising:
- detecting the boundary of the object in each image of the sequence and fitting a non-rigid contour to the detected boundary;
tracking the boundary through the sequence by calculating a shape-space representation with respect to a first shape-space of the movement of the non-rigid contour through the sequence;
defining a second, different shape-space whose shape vector comprises components corresponding to a desired attribute of the motion; and
calculating from the tracked boundary the shape-vector corresponding to the different shape-space.
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Abstract
A method of analysing a sequence of images of a deformable object in non-rigid motion involves modeling the boundary using a non-rigid contour. A representation of movement of the contour through the sequence of images is calculated using a tracking space shape. The calculated movement representation is decomposed using an interpretational space shape that is different than the tracking space shape.
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Citations
48 Claims
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1. A method of analysing a sequence of images of a deformable object in non-rigid motion, comprising:
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detecting the boundary of the object in each image of the sequence and fitting a non-rigid contour to the detected boundary; tracking the boundary through the sequence by calculating a shape-space representation with respect to a first shape-space of the movement of the non-rigid contour through the sequence; defining a second, different shape-space whose shape vector comprises components corresponding to a desired attribute of the motion; and calculating from the tracked boundary the shape-vector corresponding to the different shape-space. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41)
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42. A method of analysing a sequence of images of an internal body organ in non-rigid motion, comprising:
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detecting the boundary of the organ in each image of the sequence; and automatically calculating the amount of movement through the sequence of each of a plurality of clinically significant segments of the detected boundary, wherein a spline curve is fitted to the boundary and the method further comprises calculating and outputting for each of the clinically significant segments an average of the amount of movement of the spline curve control points for that segment, the average being weighted in favour of spline curve control points in the middle of each segment.
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43. A method of analysing a sequence of images of a deformable object in non-rigid motion to detect inner and outer boundaries of a wall of the object, the method comprising:
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detecting the inner boundary; and searching outside the inner boundary for image features representing the outer boundary, wherein the method further comprises fitting a spline curve to the detected image features representing the outer boundary, wherein the spline curve is fitted by; manually locating the inner and outer boundaries in only some images of the sequence; calculating a shape-space for the change through the sequence of the distance between the two boundaries; detecting the inner boundary and performing the search outside the inner boundary for image features representing the outer boundary in images of the sequence; and fitting a spline curve to the detected image features in the other images of the sequence by using the shape-space; and wherein, when fitting the spline curve to the detected image features, the detected image features are weighted down if they imply a difference between the inner and outer boundaries which lies outside the shape-space for that difference.
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44. A method of analysing a sequence of images of a deformable object in non-rigid motion, the method comprising:
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modeling the boundary using a non-rigid contour; calculating a representation of movement of the contour through the sequence of images using a tracking shape-space; and decomposing the calculated movement representation using an interpretational shape-space shape space that is different than the tracking shape-space. - View Dependent Claims (45, 46, 47, 48)
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Specification