Basic Physical Principles and Clinical Applications of Computed Tomography-Reference-Cited by-同舟云学术

Basic Physical Principles and Clinical Applications of Computed Tomography

Published:2021-03-31 Issue:1 Volume:32 Page:1-17
ISSN:2508-4445
Container-title:Progress in Medical Physics
language:en
Short-container-title:Progress in Medical Physics

Author:

Jung Haijo¹²^ORCID

Affiliation:

1. Development Headquarter, FutureChem Co., Ltd

2. Division of Applied RI, Korean Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Korea

Publisher

Korean Society of Medical Physics

Subject

General Engineering

Link

http://pdf.medrang.co.kr/PMP/2021/032/PMP032-01-01.pdf

Reference64 articles.

1. The new light: discovery and introduction of the X-ray.

2. Röntgen and the discovery of X-rays

3. 3. Beatty J. The radon transform and the mathematics of medical imaging. Waterville: Colby College, 2012 [cited 2021 Feb 15]. Available from: https://digitalcommons.colby.edu/cgi/viewcontent.cgi?article=1649&context=honorstheses.

4. Barrett HH. III The radon transform and its applications. Prog Opt. 1984;21:217-286.

5. Hornegger J, Maier A, Kowarschik M, CT Image reconstruction basics. Radiology Key, 2018 [cited 2021 Feb 15]. Available from: https://radiologykey.com/ct-image-reconstruction-basics/.

Cited by 20 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. Beyond the Surface: Non-Invasive Low-Field NMR Analysis of Microbially-Induced Calcium Carbonate Precipitation in Shale Fractures;Rock Mechanics and Rock Engineering;2024-07-18

2. Detecting emergence of ruptures in individual layers of the stretched intestinal wall using optical coherence elastography: A pilot study;Journal of Biophotonics;2024-06-25

3. UM ESTUDO DOS PARÂMETROS FÍSICOS ENVOLVIDOS NA FORMAÇÃO DE IMAGENS RADIOGRÁFICAS EM TOMOGRAFIAS COMPUTADORIZADAS;RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218;2024-06-24

4. Few-Shot Learning for Medical Image Segmentation Using 3D U-Net and Model-Agnostic Meta-Learning (MAML);Diagnostics;2024-06-07

5. Improved brain metastases segmentation using generative adversarial network and conditional random field optimization mask R‐CNN;Medical Physics;2024-05-22