1 citations · 2 across the 6 of their papers we have counts for
6 papers
Revisiting the joint estimation of initial pressure and speed-of-sound distributions in photoacoustic computed tomography with consideration of canonical object constraints
Gangwon Jeong, Umberto Villa, Mark A. Anastasio
In photoacoustic computed tomography (PACT) the accurate estimation of the initial pressure (IP) distribution generally requires knowledge of the object's heterogeneous speed-of-so…
Technical Note: An Efficient Implementation of the Spherical Radon Transform with Cylindrical Apertures
Luke Lozenski, Refik Mert Cam, Mark A. Anastasio +1
The spherical Radon transform (SRT) is an integral transform that maps a function to its integrals over concentric spherical shells centered at specified sensor locations. It has s…
Spatiotemporal Image Reconstruction to Enable High-Frame Rate Dynamic Photoacoustic Tomography with Rotating-Gantry Volumetric Imagers
Refik M. Cam, Chao Wang, Weylan Thompson +3
Significance: Dynamic photoacoustic computed tomography (PACT) is a valuable technique for monitoring physiological processes. However, current dynamic PACT techniques are often li…
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography
Luke Lozenski, Hanchen Wang, Fu Li +4
Ultrasound computed tomography (USCT) is an emerging imaging modality that holds great promise for breast imaging. Full-waveform inversion (FWI)-based image reconstruction methods…
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks
Weimin Zhou, Umberto Villa, Mark A. Anastasio
Medical imaging systems are often evaluated and optimized via objective, or task-specific, measures of image quality (IQ) that quantify the performance of an observer on a specific…
Technical Note: PDE-constrained Optimization Formulation for Tumor Growth Model Calibration
Baoshan Liang, Luke Lozenski, Umberto Villa +1
We discuss solution algorithms for calibrating a tumor growth model using imaging data posed as a deterministic inverse problem. The forward model consists of a nonlinear and time-…