most citedArtifacts of Quantization in Distance Transforms

4 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.QM2021

Bone Adaptation as a Geometric Flow

Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert +1

This paper presents bone adaptation as a geometric flow. The proposed method is based on two assumptions: first, that the bone surface is smooth (not fractal) permitting the defini…

eess.IV20211 cited

Constructing High-Order Signed Distance Maps from Computed Tomography Data with Application to Bone Morphometry

Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert +1

An algorithm is presented for constructing high-order signed distance fields for two phase materials imaged with computed tomography. The signed distance field is high-order in tha…

eess.IV20211 cited

High-Order Signed Distance Transform of Sampled Signals

Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert +1

Signed distance transforms of sampled signals can be constructed better than the traditional exact signed distance transform. Such a transform is termed the high-order signed dista…

cs.CV20213 cited

Local Morphometry of Closed, Implicit Surfaces

Bryce A Besler, Tannis D. Kemp, Andrew S. Michalski +2

Anatomical structures such as the hippocampus, liver, and bones can be analyzed as orientable, closed surfaces. This permits the computation of volume, surface area, mean curvature…

math.DG20201 cited

Sphere Under Advection and Mean Curvature Flow

Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert +1

Advection and mean curvature flow is used as a model of bone microarchitecture adaptation. It is an equivalent geometric flow to prescribed mean curvature flow with an additional r…

eess.IV20204 cited

Artifacts of Quantization in Distance Transforms

Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert +1

Distance transforms are a central tool in shape analysis, morphometry, and curve evolution problems. This work describes and investigates an artifact present in distance maps compu…