Charles A. Bouman — accepted AI-conference papers

2023

An Edge Alignment-Based Orientation Selection Method for Neutron Tomography

Diyu Yang, Shimin Tang, Singanallur V. Venkatakrishnan, Mohammad Samin Nur Chowdhury, Yuxuan Zhang, Hassina Z. Bilheux +2

ICASSP 2023accepted

Neutron computed tomography (nCT) is a 3D char-acterization technique used to image the internal morphology or chemical composition of samples in biology and materials sciences. A typical workflow involves placing the sample in the path of a neutron beam, acquiring projection data at a predefined se…

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2022

Model-Based Reconstruction for Collimated Beam Ultrasound Systems

Abdulrahman M. Alanazi, Singanallur V. Venkatakrishnan, Hector J. Santos-Villalobos, Gregery T. Buzzard, Charles A. Bouman

ICASSP 2022accepted

Collimated beam ultrasound systems are a novel technology for imaging inside multi-layered structures such as geothermal wells. Such systems include a transmitter and multiple receivers to capture reflected signals. Common algorithms for ultrasound reconstruction use delay-and-sum (DAS) approaches;…

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2021

A Bias-Reducing Loss Function for CT Image Denoising

Madhuri Nagare, Roman Melnyk, Obaidullah Rahman, Ken D. Sauer, Charles A. Bouman

ICASSP 2021accepted

There is growing interest in the use of deep neural network (DNN) based image denoising to reduce patient’s X-ray dosage in medical computed tomography (CT). An effective denoiser must remove noise while maintaining the texture and detail. Commonly used mean squared error (MSE) loss functions in the…

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2018

Deep Residual Learning for Model-Based Iterative CT Reconstruction Using Plug-and-Play Framework

Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman

ICASSP 2018accepted

Model-Based Iterative Reconstruction (MBIR) has shown promising results in clinical studies as they allow significant dose reduction during CT scans while maintaining the diagnostic image quality. MBIR improves the image quality over analytical reconstruction by modeling both the sensor (e.g., forwa…

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2017

Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning

Yandong Guo, Cheng Lu, Jan P. Allebach, Charles A. Bouman

CVPR 2017poster

The inherent noise in the observed (e.g., scanned) binary document image degrades the image quality and harms the compression ratio through breaking the pattern repentance and adding entropy to the document images. In this paper, we design a cost function in Bayesian framework with dictionary learni…

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2016

Fast voxel line update for time-space image reconstruction

Xiao Wang, K. Aditya Mohan, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff

ICASSP 2016accepted

Model based iterative reconstruction (MBIR) algorithms have been used to greatly improve image quality and temporal resolution in synchrotron based time-space Computed Tomography (CT). Among the various optimization methods that have been used for MBIR, iterative coordinate descent (ICD) has relativ…

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2015

4D model-based iterative reconstruction from interlaced views

K. Aditya Mohan, S. V. Venkatakrishnan, John W. Gibbs, Emine Begum Gulsoy, Xianghui Xiao, Marc De Graef +2

ICASSP 2015accepted

X-ray tomography is increasingly being used for 4D spatio-temporal imaging of material samples at micron and finer scales. However, the temporal resolution of widely used 4D reconstruction methods is severely limited by the need to acquire a very large number of views for each reconstructed 3D volum…

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