Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner

01/04/2018
by   Yoseob Han, et al.
0

For homeland and transportation security applications, 2D X-ray explosive detection system (EDS) have been widely used, but they have limitations in recognizing 3D shape of the hidden objects. Among various types of 3D computed tomography (CT) systems to address this issue, this paper is interested in a stationary CT using fixed X-ray sources and detectors. However, due to the limited number of projection views, analytic reconstruction algorithms produce severe streaking artifacts. Inspired by recent success of deep learning approach for sparse view CT reconstruction, here we propose a novel image and sinogram domain deep learning architecture for 3D reconstruction from very sparse view measurement. The algorithm has been tested with the real data from a prototype 9-view dual energy stationary CT EDS carry-on baggage scanner developed by GEMSS Medical Systems, Korea, which confirms the superior reconstruction performance over the existing approaches.

READ FULL TEXT

page 2

page 4

research
08/28/2017

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT

X-ray computed tomography (CT) using sparse projection views is often us...
research
11/19/2016

Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis

Recently, compressed sensing (CS) computed tomography (CT) using sparse ...
research
11/21/2021

DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction

While Computed Tomography (CT) reconstruction from X-ray sinograms is ne...
research
03/09/2023

Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays

X-ray computed tomography (CT) is one of the most common imaging techniq...
research
12/04/2020

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors

A radiograph visualizes the internal anatomy of a patient through the us...
research
12/29/2017

Deep Learning Interior Tomography for Region-of-Interest Reconstruction

Interior tomography for the region-of-interest (ROI) imaging has advanta...
research
04/09/2019

Fast Accurate CT Metal Artifact Reduction using Data Domain Deep Learning

Filtered back projection (FBP) is the most widely used method for image ...

Please sign up or login with your details

Forgot password? Click here to reset