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Effect of Slice Thickness on Texture-Based Classification of Liver Dynamic CT Scans [chapter]

Dorota Duda, Marek Kretowski, Johanne Bezy-Wendling
2013 Lecture Notes in Computer Science  
This paper assesses the impact of slice thickness on texture parameters. Experiments are performed on liver dynamic CT scans, with two slice thicknesses.  ...  Effect of Slice Thickness on Texture-Based Classification of Liver CTs 97 for the recognition of several classes of tissue, representing different pathologies.  ...  This work was supported by the grant S/WI/2/2013 from Bialystok University of Technology. Effect of Slice Thickness on Texture-Based Classification of Liver CTs  ... 
doi:10.1007/978-3-642-40925-7_10 fatcat:wpiwja5elnernlxuota36fvyt4

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning [article]

Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison
2020 arXiv   pre-print
To this end, we propose a fully-automated and multi-stage liver tumor characterization framework designed for dynamic contrast computed tomography (CT).  ...  Here we study a specific population of human subjects, with the hope of reducing the need for invasive surgical biopsies of liver cancer patients, which can cause many harmful side-effects.  ...  CT scans were acquired from the hospital archives within one month before the invasive procedure. This resulted in 1305 studies, with all CT scans having standard 5 mm slice thickness.  ... 
arXiv:2006.15691v2 fatcat:rqgpqv46ingoncrmvatpilhv7i

Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis

Bettina Katalin Budai, Ambrus Tóth, Petra Borsos, Veronica Grace Frank, Sonaz Shariati, Bence Fejér, Anikó Folhoffer, Ferenc Szalay, Viktor Bérczi, Pál Novák Kaposi
2020 BMC Medical Imaging  
We retrospectively collected CT scans of thirty-two chronic hepatitis patients with liver fibrosis. The CT examinations were performed on either a 16- or a 64-slice scanner.  ...  We aimed to develop CTTA based prediction models, which can be used for staging of fibrosis in different anatomic liver segments irrespective of variations in scanning parameters.  ...  In compliance with our institutional protocols, written informed consent was obtained before the CT and ultrasound scans from all patients. All patient data were analyzed anonymously.  ... 
doi:10.1186/s12880-020-00508-w pmid:32957949 pmcid:PMC7507285 fatcat:rw36nzpo4fg5dmd5f37ttkykxm

Characterization of Hepatocellular Carcinoma (HCC) in CT Images using Texture Analysis Technique

2016 International Journal of Science and Research (IJSR)  
A new approach to texture characterization from dynamic CT scans of the liver is presented.  ...  Tiff format was created as IDL variables and then using 3x3 window the image was scanned and based on the image histogram the selected feature also called FOS was calculated using this window.  ...  Classification applies any classifier to identify the liver disease based on textural features.  ... 
doi:10.21275/v5i1.nov152904 fatcat:7q6nqhcc6fgkdk5juu5u2bp2vm

CT Texture Analysis Challenges: Influence of Acquisition and Reconstruction Parameters: A Comprehensive Review

Mathilde Espinasse, Stéphanie Pitre-Champagnat, Benoit Charmettant, Francois Bidault, Andreas Volk, Corinne Balleyguier, Nathalie Lassau, Caroline Caramella
2020 Diagnostics  
On the basis of this analysis, the critical steps were identified with a view of using texture analysis as a reliable tool in medical imaging.  ...  In this review, a search was performed to identify current published data for computed tomography (CT) texture reproducibility and variability.  ...  Conflicts of Interest: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.  ... 
doi:10.3390/diagnostics10050258 pmid:32353924 fatcat:hg5qzjqc6zd6rc2izfleg4iusi

Evaluation of Hepatic Tumor Response to Yttrium-90 Radioembolization Therapy Using Texture Signatures Generated from Contrast-enhanced CT Images

Rebekah H. Gensure, David J. Foran, Vincent M. Lee, Vyacheslav M. Gendel, Salma K. Jabbour, Darren R. Carpizo, John L. Nosher, Lin Yang
2012 Academic Radiology  
Rationale and Objectives-The aim of this study was to explore the use of texture features generated from liver computed tomographic (CT) datasets as potential image-based indicators of patient response  ...  Conclusions-Hepatic texture signatures generated from tumor regions on pre-treatment triphasic CT studies were highly accurate in differentiating among subjects in terms of serologic response and survival  ...  National Library of Medicine.  ... 
doi:10.1016/j.acra.2012.04.015 pmid:22841288 pmcid:PMC3438382 fatcat:jpotan4oorgojklntjwh2hd6he

Lung Nodule Texture Detection and Classification Using 3D CNN

Ivan William Harsono
2019 CommIT Journal  
Hence, to answer this problem, this research explores the steps needed to implement 3D CNN on raw thorax CT scan datasets and usage of RetinaNet 3D + Inception 3D with transfer learning.  ...  detection and classification.  ...  This model can standardize various age groups and body size (reflected in highly variable slice thickness and pixel spacing) CT scan data into a dynamic dimension of (0.5*length, 0.5*width, 64).  ... 
doi:10.21512/commit.v13i2.5995 fatcat:3p3lrqbywnajdcpf2hjz4gprvm

Imaging-Based Staging of Hepatic Fibrosis in Patients with Hepatitis B: A Dynamic Radiomics Model Based on Gd-EOB-DTPA-Enhanced MRI

Rencheng Zheng, Chunzi Shi, Chengyan Wang, Nannan Shi, Tian Qiu, Weibo Chen, Yuxin Shi, He Wang
2021 Biomolecules  
Accurate grading of liver fibrosis can effectively assess the severity of liver disease and help doctors make an appropriate diagnosis.  ...  Model construction and evaluation were based on a 132-case data set. The proposed model achieved remarkable performance in significant fibrosis (fibrosis stage S1 vs.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/biom11020307 pmid:33670596 pmcid:PMC7922315 fatcat:gzlvmdo7krdipdjnigpb66h6li

Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation

Zhuofu Deng, Qingzhe Guo, Zhiliang Zhu
2019 Journal of Healthcare Engineering  
Segmentation of liver tumors plays an important role in the choice of therapeutic strategies for liver disease and treatment monitoring.  ...  Finally, for full automation, appropriate initializations and local window size are generated based on the current contour position probabilities.  ...  NGII20170701 and NGII20170802). e research was also supported in part by the National Natural Science Foundation of China (NSFC) (61473073). e authors would like to thank Mr. Songjian Chen and Ms.  ... 
doi:10.1155/2019/4321645 pmid:30918620 pmcid:PMC6409057 fatcat:53adz7teerbn7gqpjkcuw6l55m

Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification

Dirk Smeets, Dirk Loeckx, Bert Stijnen, Bart De Dobbelaer, Dirk Vandermeulen, Paul Suetens
2010 Medical Image Analysis  
The initialization is generated by a spiral-scanning technique based on dynamic programming.  ...  This method is tested on CT images of the abdomen and compared with manual delineations of liver tumors.  ...  Deng for the possibility to compare our algorithm with other algorithms in the ''3D Liver Tumor Segmentation Challenge 2008".  ... 
doi:10.1016/ pmid:19828356 fatcat:rxesydzufnfcfnd6zdwpoxc4gm

Feasibility of thin-slice abdominal CT in overweight patients using a vendor neutral image-based denoising algorithm: Assessment of image noise, contrast, and quality

Akio Tamura, Manabu Nakayama, Yoshitaka Ota, Masayoshi Kamata, Yasuyuki Hirota, Misato Sone, Makoto Hamano, Ryoichi Tanaka, Kunihiro Yoshioka, Yuchen Qiu
2019 PLoS ONE  
hybrid iterative reconstruction (IR) in image quality on thin-slice abdominal CT.  ...  In this retrospective study, 54 patients who underwent dynamic liver CT between April and July 2017 and had a body mass index higher than 25 kg/m2 were included.  ...  The results showed that 5-mm slice thickness proved to be more effective in the detection of small liver metastases.  ... 
doi:10.1371/journal.pone.0226521 pmid:31846490 pmcid:PMC6917298 fatcat:ydwnbzexffbhvhm7op2mzre4xa

Response prediction of hepatocellular carcinoma undergoing transcatheter arterial chemoembolization: unlocking the potential of CT texture analysis through nested decision tree models

Jan Vosshenrich, Christoph J. Zech, Tobias Heye, Tuyana Boldanova, Geoffrey Fucile, Stefan Wieland, Markus H. Heim, Daniel T. Boll
2020 European Radiology  
Materials and methods This retrospective study (January 2011–September 2017) included consecutive pre- and post-therapeutic dynamic CT scans of 37 patients with 92 biopsy-proven HCC lesions treated with  ...  Objectives To investigate if nested multiparametric decision tree models based on tumor size and CT texture parameters from pre-therapeutic imaging can accurately predict hepatocellular carcinoma (HCC)  ...  CT examinations were acquired on a 128-slice (Somatom Definition Edge, Siemens Healthineers; tube settings 100 kV, 110 eff. mAs; collimation 128 mm × 0.6 mm, pitch 0.6, rotation time 0.5 s, slice thickness  ... 
doi:10.1007/s00330-020-07511-3 pmid:33274405 fatcat:qc63d2pdkbefpbzbr5gos2w73a

Front Matter: Volume 10134

2017 Medical Imaging 2017: Computer-Aided Diagnosis  
.  The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04,  ...  Publication of record for individual papers is online in the SPIE Digital Library. Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  features 10134 0B The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans COLON AND GI 0D Evaluation  ... 
doi:10.1117/12.2277119 dblp:conf/micad/X17 fatcat:ika7pheqxngdxejyvkss4dkbv4

Understanding Sources of Variation to Improve the Reproducibility of Radiomics

Binsheng Zhao
2021 Frontiers in Oncology  
This review focuses on CT image acquisition, tumor segmentation, quantitative feature extraction, and the disease of lung cancer.  ...  One of the major challenges is the lack of reproducibility and generalizability of the reported radiomics signatures (features and models).  ...  The effect of the bin width (5 to 50 HU) on the stability of 114 studied texture features was found to be marginal compared to the effect of scanners, slice thicknesses, and tube currents.  ... 
doi:10.3389/fonc.2021.633176 pmid:33854969 pmcid:PMC8039446 fatcat:jfmlqif2afgrxdjujgynh4c3gi

A Model-Based Validation Scheme for Organ Segmentation in CT Scan Volumes

H. Badakhshannoory, P. Saeedi
2011 IEEE Transactions on Biomedical Engineering  
We detail applications of the proposed method for 3D segmentation of human kidney and liver in CT scan volumes.  ...  For this, an organ space is generated based on PCA approach using which the fidelity of each segment to the organ is measured.  ...  Wu and Sun reported a deformable contour based method using texture classification and shape to identify kidney in ultrasound images [9] .  ... 
doi:10.1109/tbme.2011.2161987 pmid:21768040 fatcat:32l5w3xlbzhqnhn47q3lu7svz4
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