Abstract: There is described a computer-implemented method of performing medical treatment outcome assessment or medical condition diagnostic. The method generally has receiving a three-dimensional (3D) anatomical image representing a region of a body of a patient; generating a 3D invariant image by processing the 3D anatomical image based on an isophote structure invariant entity (e.g., mean curvature of isophotes, Gaussian curvature of isophotes); using an image processing unit, processing the 3D invariant image and generating an output based on said processing, the output being either: medical treatment outcome data indicative of an outcome assessment of a treatment received by said patient; or medical condition diagnostic data indicative of a diagnostic of a medical condition of said patient.

Abstract: There is described a computer-implemented method of performing medical treatment outcome assessment or medical condition diagnostic. The method generally has receiving a three-dimensional (3D) anatomical image representing a region of a body of a patient; generating a 3D invariant image by processing the 3D anatomical image based on an isophote structure invariant entity (e.g., mean curvature of isophotes, Gaussian curvature of isophotes); using an image processing unit, processing the 3D invariant image and generating an output based on said processing, the output being either: medical treatment outcome data indicative of an outcome assessment of a treatment received by said patient; or medical condition diagnostic data indicative of a diagnostic of a medical condition of said patient.

Abstract: The present disclosure provides methods and systems for determining heart fiber geometry from ultrasound images. Ultrasound images of a heart model are generated. Then, a probability of accuracy of the model ultrasound images is determined based at least in part on one or more ultrasound image of an actual heart. When the probability of accuracy is above a given threshold, the heart model is applied to the ultrasound images of the actual heart in order to determine heart fiber geometry for the actual heart.

Abstract: The identification and determination of aspects of the construction of a patient's heart is important for cardiologists and cardiac surgeons in the diagnosis, analysis, treatment, and management of cardiac patients. For example minimally invasive heart surgery demands knowledge of heart geometry, heart fiber orientation, etc. Whilst medical imaging has advanced significantly the accurate three dimensional (3D) rendering from a series of imaging slices remains a critical step in the planning and execution of patient treatment. Embodiments of the invention construct using diffuse MRI data 3D renderings from iterating connections forms derived from arbitrary smooth frame fields to not only corroborate biological measurements of heart fiber orientation but also provide novel biological views in respect of heart fiber orientation etc.