Abstract: We describe a method of estimating the thickness of a tissue structure, in particular cortical bone thickness from tomographic imaging data such as CT data. The method models the tissue structure as a variation of an imaging parameter along a line; models a variation of the tomographic imaging data along the line as a blurred version of the variation of the imaging parameter modelling the; and fits the blurred tomographic imaging model to data from the tomographic imaging by holding a tissue modelling parameter at a constraining value and allowing variation of a blurring parameter and at least one parameter defining the thickness of the tissue structure to determine an estimate of the thickness of the structure.

Abstract: A method of displaying strain image data for an imaged object, the method comprising: capturing strain image data defining deformation of said object over an imaged region of said object; processing said strain image data to determine local image quality data, said local image quality data comprising a measure of the quality of said strain image data varying over said imaged region; and displaying a representation of said strain image data for said imaged region of said object, using said local image quality data to provide a visual indication of the quality of said displayed representation varying over said imaged region or to improve a quality of said displayed representation of said strain image data.

Abstract: We describe a method of estimating the thickness of a tissue structure, in particular cortical bone thickness from tomographic imaging data such as CT data. The method models the tissue structure as a variation of an imaging parameter along a line; models a variation of the tomographic imaging data along the line as a blurred version of the variation of the imaging parameter modelling the; and fits the blurred tomographic imaging model to data from the tomographic imaging by holding a tissue modelling parameter at a constraining value and allowing variation of a blurring parameter and at least one parameter defining the thickness of the tissue structure to determine an estimate of the thickness of the structure.

Abstract: We describe a method of determining deformation data for an imaged object, the method comprising: inputting first and second sets of image data corresponding to different deformations of the imaged object, each comprising imaging signal data for an imaging signal, said imaging signal data including at least signal phase data; and determining, for at least one point in said first set of image data, a corresponding displacement for said point in said second set of image data; wherein the displacement determining comprises: initialising a value of displacement; determining an adjusted value for said displacement to provide said corresponding displacement, said determining of an adjusted value comprising: determining an average of differences in signal phase between corresponding positions in said first and second sets of image data, said corresponding positions being determined by a current value of said displacement; and using said average to determine said adjusted displacement value.

Abstract: A method of displaying strain image data for an imaged object, the method comprising: capturing strain image data defining deformation of said object over an imaged region of said object; processing said strain image data to determine local image quality data, said local image quality data comprising a measure of the quality of said strain image data varying over said imaged region; and displaying a representation of said strain image data for said imaged region of said object, using said local image quality data to provide a visual indication of the quality of said displayed representation varying over said imaged region or to improve a quality of said displayed representation of said strain image data.

Abstract: We describe a method of determining deformation data for an imaged object, the method comprising: inputting first and second sets of image data corresponding to different deformations of the imaged object, each comprising imaging signal data for an imaging signal, said imaging signal data including at least signal phase data; and determining, for at least one point in said first set of image data, a corresponding displacement for said point in said second set of image data; wherein the displacement determining comprises: initialising a value of displacement; determining an adjusted value for said displacement to provide said corresponding displacement, said determining of an adjusted value comprising: determining an average of differences in signal phase between corresponding positions in said first and second sets of image data, said corresponding positions being determined by a current value of said displacement; and using said average to determine said adjusted displacement value.