Abstract: Systems, methods, and computer-readable media to reconstruct thin wall features of domain features in images, which are marginally resolved by a multi-dimensional image, using geometrical continuity. The technique permits reconstruction of features such as structure walls that have a variable thickness, where a thin portion of the wall feature is marginally resolved by an image due to resolution limitations, and the marginally resolved portion of the feature is incompletely segmented. Using the systems, methods, and computer-readable media, such a wall feature can be recognized as a broken wall that misrepresents the completeness of the feature, and can be reconstructed as a completed wall feature.
Abstract: A method for computing the release rate of a controlled release drug and medical device using a combination of imaging data and computational physics is described. The method employs a three-dimensional digital representation of a drug sample, derived from two-dimensional or three-dimensional imaging, which captures the drug active pharmaceutical ingredient (API), excipients, and porosity with distinctive contrasts. Direct numerical simulations are conducted on the three-dimensional digital representation to derive effective transport properties of the API going through a porous matrix or membrane. Drug release rate can be predicted more efficiently than laboratory-based methods. When there is strong heterogeneity presented in the drug, a further method is described that engages imaging and release simulations at multiple scales. Computerized systems and programs for performing the methods are also described.
Abstract: A method for computing physical properties of materials, such as two-phase and three-phase relative permeabilities through a porous material, is described. The method employs single or multi-scale digital images of a representative sample which capture one or multiple fractionations of a micro-structure size cascade at the respective, required imaging resolutions. At a high resolution, the method computes basic physical properties, such as absolute permeabilities with a numerical method such as computational fluid dynamics solving the Navier-Stokes equation, and capillary pressure with simulations solving Young-Laplace equation. Saturation states of multiple fluids are combined to derive capillary pressure relationships at low resolutions when necessary.