A Machine-learning Based Initialization for Joint Statistical Iterative Dual-energy CT with Application to Proton Therapy

07/30/2021
by   Tao Ge, et al.
0

Dual-energy CT (DECT) has been widely investigated to generate more informative and more accurate images in the past decades. For example, Dual-Energy Alternating Minimization (DEAM) algorithm achieves sub-percentage uncertainty in estimating proton stopping-power mappings from experimental 3-mm collimated phantom data. However, elapsed time of iterative DECT algorithms is not clinically acceptable, due to their low convergence rate and the tremendous geometry of modern helical CT scanners. A CNN-based initialization method is introduced to reduce the computational time of iterative DECT algorithms. DEAM is used as an example of iterative DECT algorithms in this work. The simulation results show that our method generates denoised images with greatly improved estimation accuracy for adipose, tonsils, and muscle tissue. Also, it reduces elapsed time by approximately 5-fold for DEAM to reach the same objective function value for both simulated and real data.

READ FULL TEXT

page 1

page 3

page 4

research
02/01/2023

MB-DECTNet: A Model-Based Unrolled Network for Accurate 3D DECT Reconstruction

Numerous dual-energy CT (DECT) techniques have been developed in the pas...
research
03/10/2022

Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction

Objective. Dual-energy computed tomography (DECT) has the potential to i...
research
05/24/2022

3D helical CT reconstruction with memory efficient invertible Learned Primal-Dual method

Helical acquisition geometry is the most common geometry used in compute...
research
06/25/2015

Generalized Majorization-Minimization

Non-convex optimization is ubiquitous in machine learning. The Majorizat...
research
06/05/2023

Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction

We propose a novel Learned Alternating Minimization Algorithm (LAMA) for...
research
10/16/2021

PDMM: A novel Primal-Dual Majorization-Minimization algorithm for Poisson Phase-Retrieval problem

In this paper, we introduce a novel iterative algorithm for the problem ...

Please sign up or login with your details

Forgot password? Click here to reset