Deep learning image reconstruction for CT: technical principles and clinical prospects

LR Koetzier, D Mastrodicasa, TP Szczykutowicz… - Radiology, 2023 - pubs.rsna.org
Filtered back projection (FBP) has been the standard CT image reconstruction method for 4
decades. A simple, fast, and reliable technique, FBP has delivered high-quality images in …

The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence

MJ Willemink, PB Noël - European radiology, 2019 - Springer
The first CT scanners in the early 1970s already used iterative reconstruction algorithms;
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …

Improving diffusion models for inverse problems using manifold constraints

H Chung, B Sim, D Ryu, JC Ye - Advances in Neural …, 2022 - proceedings.neurips.cc
Recently, diffusion models have been used to solve various inverse problems in an
unsupervised manner with appropriate modifications to the sampling process. However, the …

Difftaichi: Differentiable programming for physical simulation

Y Hu, L Anderson, TM Li, Q Sun, N Carr… - arxiv preprint arxiv …, 2019 - arxiv.org
We present DiffTaichi, a new differentiable programming language tailored for building high-
performance differentiable physical simulators. Based on an imperative programming …

Autoint: Automatic integration for fast neural volume rendering

DB Lindell, JNP Martel… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Numerical integration is a foundational technique in scientific computing and is at the core of
many computer vision applications. Among these applications, neural volume rendering has …

Volumetric emission tomography for combustion processes

SJ Grauer, K Mohri, T Yu, H Liu, W Cai - Progress in energy and …, 2023 - Elsevier
This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …

Electron microscopy studies of soft nanomaterials

Z Lyu, L Yao, W Chen, FC Kalutantirige… - Chemical …, 2023 - ACS Publications
This review highlights recent efforts on applying electron microscopy (EM) to soft (including
biological) nanomaterials. We will show how developments of both the hardware and …

Infrared laser-absorption sensing for combustion gases

CS Goldenstein, RM Spearrin, JB Jeffries… - Progress in Energy and …, 2017 - Elsevier
Infrared laser-absorption spectroscopy (IR-LAS) sensors play an important role in
diagnosing and characterizing a wide range of combustion systems. Of all the laser …

Synchrotron X-ray analytical techniques for studying materials electrochemistry in rechargeable batteries

F Lin, Y Liu, X Yu, L Cheng, A Singer… - Chemical …, 2017 - ACS Publications
Rechargeable battery technologies have ignited major breakthroughs in contemporary
society, including but not limited to revolutions in transportation, electronics, and grid energy …

LEARN: Learned experts' assessment-based reconstruction network for sparse-data CT

H Chen, Y Zhang, Y Chen, J Zhang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Compressive sensing (CS) has proved effective for tomographic reconstruction from
sparsely collected data or under-sampled measurements, which are practically important for …