Literature DB >> 11235585

Toward a better understanding of texture in vascular CT scan simulated images.

J Bézy-Wendling1, M Kretowski, Y Rolland, W Le Bidon.   

Abstract

This paper shows the influence of computed tomography slice thickness on textural parameters by simulating realistic images issued from: 1) a 3D model of vascular tree, with structural and functional features and in which angiogenesis is related to the organ growth; 2) a projection/reconstruction process using fast Fourier transform. Texture analysis is performed by means of second-order statistics and gradient based methods.

Mesh:

Year:  2001        PMID: 11235585     DOI: 10.1109/10.900272

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

1.  Simulation of biphasic CT findings in hepatic cellular carcinoma by a two-level physiological model.

Authors:  Marek Kretowski; Johanne Bezy-Wendling; Pierrick Coupe
Journal:  IEEE Trans Biomed Eng       Date:  2007-03       Impact factor: 4.538

2.  Whole-liver CT texture analysis in colorectal cancer: Does the presence of liver metastases affect the texture of the remaining liver?

Authors:  Sheng-Xiang Rao; Doenja Mj Lambregts; Roald S Schnerr; Wenzel van Ommen; Thiemo Ja van Nijnatten; Milou H Martens; Luc A Heijnen; Walter H Backes; Cornelis Verhoef; Meng-Su Zeng; Geerard L Beets; Regina Gh Beets-Tan
Journal:  United European Gastroenterol J       Date:  2014-12       Impact factor: 4.623

3.  Assessment of Clinical Stage IA Lung Adenocarcinoma with pN1/N2 Metastasis Using CT Quantitative Texture Analysis.

Authors:  Haixu Zhu; Yanyan Xu; Nanxue Liang; Hongliang Sun; Zhenguo Huang; Sheng Xie; Wu Wang
Journal:  Cancer Manag Res       Date:  2020-07-28       Impact factor: 3.989

4.  Perfusion parameters as potential imaging biomarkers for the early prediction of radiotherapy response in a rat tumor model.

Authors:  Ho Yun Lee; Namkug Kim; Jin Mo Goo; Eui Kyu Chie; Hye Jong Song
Journal:  Diagn Interv Radiol       Date:  2016 May-Jun       Impact factor: 2.630

5.  Radiomics for Classifying Histological Subtypes of Lung Cancer Based on Multiphasic Contrast-Enhanced Computed Tomography.

Authors:  Linning E; Lin Lu; Li Li; Hao Yang; Lawrence H Schwartz; Binsheng Zhao
Journal:  J Comput Assist Tomogr       Date:  2019 Mar/Apr       Impact factor: 1.826

6.  Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung Cancer.

Authors:  Huanhuan Li; Long Gao; He Ma; Dooman Arefan; Jiachuan He; Jiaqi Wang; Hu Liu
Journal:  Front Oncol       Date:  2021-04-29       Impact factor: 6.244

7.  Quantifying tumour heterogeneity with CT.

Authors:  Balaji Ganeshan; Kenneth A Miles
Journal:  Cancer Imaging       Date:  2013-03-26       Impact factor: 3.909

8.  CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis.

Authors:  Choong Guen Chee; Young Hoon Kim; Kyoung Ho Lee; Yoon Jin Lee; Ji Hoon Park; Hye Seung Lee; Soyeon Ahn; Bohyoung Kim
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

9.  Progression-Free Survival Prediction in Small Cell Lung Cancer Based on Radiomics Analysis of Contrast-Enhanced CT.

Authors:  Ningxin Chen; Ruikun Li; Mengmeng Jiang; Yixian Guo; Jiejun Chen; Dazhen Sun; Lisheng Wang; Xiuzhong Yao
Journal:  Front Med (Lausanne)       Date:  2022-02-24

10.  Assessment of Response to Chemotherapy in Pancreatic Cancer with Liver Metastasis: CT Texture as a Predictive Biomarker.

Authors:  Sihang Cheng; Zhengyu Jin; Huadan Xue
Journal:  Diagnostics (Basel)       Date:  2021-12-01
  10 in total

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