activity
20172024
most citedExtreme Few-view CT Reconstruction using Deep Inference

4 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

physics.med-ph2024

Tomographic Model Based Iterative Reconstruction of Symmetric Objects

Kyle M. Champley, Ibrahim Oksuz, Matthew G. Bisbee +2

Computed Tomography (CT) reconstruction of objects with cylindrical symmetry can be performed with a single projection. When the measured rays are parallel, and the axis of symmetr…

physics.med-ph2024

Methods for Few-View CT Image Reconstruction

Kyle M. Champley, Michael B. Zellner, Joseph W. Tringe +1

Computed Tomography (CT) is an essential non-destructive three dimensional imaging modality used in medicine, security screening, and inspection of manufactured components. Typical…

cond-mat.mtrl-sci2022

Iterative Reconstruction of the Electron Density and Effective Atomic Number using a Non-Linear Forward Model

K. Aditya Mohan, Kyle M. Champley, Albert W. Reed +2

For material identification, characterization, and quantification, it is useful to estimate system-independent material properties that do not depend on the detailed specifications…

eess.IV2021★ 1 cited

Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields

Albert W. Reed, Hyojin Kim, Rushil Anirudh +4

Reconstructing dynamic, time-varying scenes with computed tomography (4D-CT) is a challenging and ill-posed problem common to industrial and medical settings. Existing 4D-CT recons…

eess.IV2019★ 4 cited

Extreme Few-view CT Reconstruction using Deep Inference

Hyojin Kim, Rushil Anirudh, K. Aditya Mohan +1

Reconstruction of few-view x-ray Computed Tomography (CT) data is a highly ill-posed problem. It is often used in applications that require low radiation dose in clinical CT, rapid…

eess.IV2019

Improving Limited Angle CT Reconstruction with a Robust GAN Prior

Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan +2

Limited angle CT reconstruction is an under-determined linear inverse problem that requires appropriate regularization techniques to be solved. In this work we study how pre-traine…