Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reduction-Reference-Cited by-同舟云学术

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Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reduction

Published:2021-07-01 Issue:13 Volume:66 Page:135015
ISSN:0031-9155
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Minnema Jordi,van Eijnatten Maureen,der Sarkissian Henri^ORCID,Doyle Shannon,Koivisto Juha,Wolff Jan,Forouzanfar Tymour,Lucka Felix^ORCID,Batenburg Kees Joost

Funder

Holland High Tech

Planmeca Oy.

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

IOP Publishing

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://iopscience.iop.org/article/10.1088/1361-6560/ac09a1/pdf

Reference47 articles.

1. On removing interpolation and resampling artifacts in rigid image registration;Aganj;IEEE Trans. Image Process.,2013

2. Image denoising with multi-layer perceptrons: I. Comparison with existing algorithms and with bounds;Burger,2012

3. Real-time quasi-3D tomographic reconstruction;Buurlage;Meas. Sci. Technol.,2018

4. An introduction to continuous optimization for imaging;Chambolle;Acta Numer.,2016

5. Metal-artifact reduction using deep-learning based sinogram completion: initial results;Claus,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flat-panel conebeam CT in the clinic: history and current state;Journal of Medical Imaging;2021-10-28

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