coordinates for each point [3]. Alternatively, a PDM can be built to examine the principal modes of point covariance [4]. Let denote a vector comprising 3D Euclidean coordinates of points…

) is a vector that lines up with the external field (the transverse components cancel each other out). Once the bulk magnetization has lined up with the external field, an…

consists of vertices and triangles. Further prior knowledge can be encoded into the surface meshes by labelling the individual triangles. An example is given in Fig. 1a. This labelling allows to…

Fig. 1 A typical short axis cardiac MR image containing LV, RV and papillary muscles There have been extensive researches such as graph cuts [4, 5], morphological operations [6, 7],…

). The correlation coefficient (r) for the TDIOF-derived circumferential strains compared to the tagged MRI-derived circumferential strains were 0.86 ( ). The comparison of TDIOF-derived and block matching speckle tracking…

defines a planar smooth curve with parameter . The cartesian coordinates of the point vector can be defined by where and . This is the explicit representation of the given…

1 cm in diameter. Our ultimate goal is to create a robust system for early detection and classification, as well as tracking, of small-size nodules before they turn into cancerous. The…

(1) of an object by minimization of an energy functional that consists of an external energy attracting the contour to image features and an internal energy that enforces smoothness of…

, which can be the input image or input template and subject images, the objective is to find a shape that matches the objects in the input image or a…

Fig. 1 Images contain an arrow shape with different orientations. By finding the matched feature points (marked as red points), one is able to estimate the rotation angle and translation…