), the scattering coefficient (), the anisotropy scattering coefficient (g) and the refractive index (n). Three different wavelengths of light were considered based-on their known optical properties: green (532 nm), red…
Fig. 1. (a) Cylindrical fibers (direction of highest stiffness); (b) boundary conditions The LV model contained 5490 nodes and 4320 first-order hexahedral elements. Physiologically realistic helical fibers from histology were imbedded…
m, which is sufficient to visualise cardio-myocytes. The obtained volumes are compared with 2D histological examinations, which serve as a basis for interpreting the 3D X-ray phase-contrast results. Our experiments…
, along with a Lagrangian description of the structure that is immersed in the fluid, described by . Interactions between the Lagrangian () and Eulerian () fields are achieved by…
Fig. 1. Generating 100 segmentations using a default parameter set and increasing noise. Left: Distribution of algorithm parameters (normalised for comparison) for all experiments. Right: Comparison of physiological parameter accuracy…
on separate occasions) and 174 with normal blood pressure. Images were obtained on a 1.5T Philips Achieva system with voxel sizes of ; slice thickness and 20 cardiac phases. A…
Fig. 1. Top row: standard cardinal views (from left: axial, sagittal, coronal). Bottom row: non-cardinal (from left: four chamber (4C), short axis (SHA), two chamber (2C)). 2.2 Features Group 1…
points. LV mass and volume at ED were subsequently calculated from the cardiac LV shape models. The sphericity index was calculated as the EDV divided by the volume of a…
66 and 255 76, for endocardium and epicardium, respectively. Fig. 1. (1) Epicardial EAM and reference 2D space. Septum line, anterior, (AL), apical (ApL) and posterior (PL) landmarks, respectively. (2)…
Fig. 1. The flowchart consists of motion tracking, spatial normalisation, descriptor learning and classification. 2 Methods Prior to the learning of a motion descriptor, we first estimate motion from cine…
