Development of an automated extraction method for liver tumors in three-dimensional multiphase multislice images

2005 ◽  
Vol 36 (9) ◽  
pp. 43-54 ◽  
Author(s):  
Junya Nakagawa ◽  
Akinobu Shimizu ◽  
Hidefumi Kobatake
Keyword(s):  
Extraction Method ◽  
Liver Tumors ◽  
Three Dimensional ◽  
Automated Extraction ◽  
Multislice Images

High throughput semi-automated extraction method for the creation of a collection from microbial fermentations of fungi and Actinomycetes

Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
JR Tormo ◽  
N Tabanera ◽  
D Conway ◽  
P Ramos ◽  
A Redondo ◽  
...  
Keyword(s):  
High Throughput ◽  
Extraction Method ◽  
Automated Extraction ◽  
The Creation

scholarly journals Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Wu-zhou Li ◽  
Zhi-wen Liang ◽  
Yi Cao ◽  
Ting-ting Cao ◽  
Hong Quan ◽  
...  
Keyword(s):  
Stereotactic Radiotherapy ◽  
Imaging System ◽  
Liver Tumors ◽  
Three Dimensional ◽  
Rigid Motion ◽  
Iterative Closest Point ◽  
Tumor Motion ◽  
Tracking Accuracy ◽  
Icp Algorithm ◽  
Anterior Posterior

Abstract Background Tumor motion may compromise the accuracy of liver stereotactic radiotherapy. In order to carry out a precise planning, estimating liver tumor motion during radiotherapy has received a lot of attention. Previous approach may have difficult to deal with image data corrupted by noise. The iterative closest point (ICP) algorithm is widely used for estimating the rigid registration of three-dimensional point sets when these data were dense or corrupted. In the light of this, our study estimated the three-dimensional (3D) rigid motion of liver tumors during stereotactic liver radiotherapy using reconstructed 3D coordinates of fiducials based on the ICP algorithm. Methods Four hundred ninety-five pairs of orthogonal kilovoltage (KV) images from the CyberKnife stereo imaging system for 12 patients were used in this study. For each pair of images, the 3D coordinates of fiducial markers inside the liver were calculated via geometric derivations. The 3D coordinates were used to calculate the real-time translational and rotational motion of liver tumors around three axes via an ICP algorithm. The residual error was also investigated both with and without rotational correction. Results The translational shifts of liver tumors in left-right (LR), anterior-posterior (AP),and superior-inferior (SI) directions were 2.92 ± 1.98 mm, 5.54 ± 3.12 mm, and 16.22 ± 5.86 mm, respectively; the rotational angles in left-right (LR), anterior-posterior (AP), and superior-inferior (SI) directions were 3.95° ± 3.08°, 4.93° ± 2.90°, and 4.09° ± 1.99°, respectively. Rotational correction decreased 3D fiducial displacement from 1.19 ± 0.35 mm to 0.65 ± 0.24 mm (P<0.001). Conclusions The maximum translational movement occurred in the SI direction. Rotational correction decreased fiducial displacements and increased tumor tracking accuracy.

Value of Three-dimensional US for Optimizing Guidance for Ablating Focal Liver Tumors

2001 ◽  
Vol 12 (4) ◽  
pp. 507-515 ◽  
Author(s):  
Steven C. Rose ◽  
Tarek I. Hassanein ◽  
David W. Easter ◽  
Reza A. Gamagami ◽  
Michael Bouvet ◽  
...  
Keyword(s):  
Liver Tumors ◽  
Three Dimensional

scholarly journals 3D Quantitative Ablation Margins for Prediction of Ablation Site Recurrence After Stereotactic Image-Guided Microwave Ablation of Colorectal Liver Metastases: A Multicenter Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Simeon J. S. Ruiter ◽  
Pascale Tinguely ◽  
Iwan Paolucci ◽  
Jennie Engstrand ◽  
Daniel Candinas ◽  
...  
Keyword(s):  
Liver Metastases ◽  
Multicenter Study ◽  
Microwave Ablation ◽  
Colorectal Liver Metastases ◽  
Liver Tumors ◽  
Three Dimensional ◽  
Multivariable Logistic Regression Analysis ◽  
Tumor Diameter ◽  
Ablation Margin ◽  
The Impact

BackgroundThree-dimensional (3D) volumetric ablation margin assessment after thermal ablation of liver tumors using software has been described, but its predictive value on treatment efficacy when accounting for other factors known to correlate ablation site recurrence (ASR) remains unknown.PurposeTo investigate 3D quantitative ablation margins (3D-QAMs) as an algorithm to predict ASR within 1 year after stereotactic microwave ablation (SMWA) for colorectal liver metastases (CRLM).Materials and MethodsSixty-five tumors in 47 patients from a prospective multicenter study of patients undergoing SMWA for CRLM were included in this retrospective 3D-QAM analysis. Using a previously developed algorithm, 3D-QAM defined as the distribution of tumor to ablation surface distances was assessed in co-registered pre- and post-ablation CT scans. The discriminatory power and optimal cutoff values for 3D-QAM were assessed using receiver operating characteristic (ROC) curves. Multivariable logistic regression analysis using generalized estimating equations was applied to investigate the impact of various 3D-QAM outputs on 1-year ASR while accounting for other known influencing factors.ResultsTen of the 65 (15.4%) tumors included for 3D-QAM analysis developed ASR. ROC analyses identified i) 3D-QAM &lt;1 mm for &gt;23% of the tumor surface, ii) 3D-QAM &lt;5 mm for &gt;45%, and iii) the minimal ablation margin (MAM) as the 3D-QAM outputs with optimal discriminatory qualities. The multivariable regression model without 3D-QAM yielded tumor diameter and KRAS mutation as 1-year ASR predictors. When adding 3D-QAM, this factor became the main predictor of 1-year ASR [odds ratio (OR) 21.67 (CI 2.48, 165.21) if defined as &gt;23% &lt;1 mm; OR 0.52 (CI 0.29, 0.95) if defined as MAM].Conclusions3D-QAM allows objectifiable and standardized assessment of tumor coverage by the ablation zone after SMWA. Our data shows that 3D-QAM represents the most important factor predicting ASR within 1 year after SMWA of CRLM.

scholarly journals Evaluation of DNA levels recovered from forensic bone samples through the optimization of a semi-automated extraction method

2019 ◽  
Vol 7 (1) ◽  
pp. 614-616
Author(s):  
M.J. Caldeira ◽  
A.M. Bento ◽  
N. Gouveia ◽  
P. Brito ◽  
M.J. Porto
Keyword(s):  
Extraction Method ◽  
Automated Extraction

scholarly journals Characterization of non-metallic inclusions in corrosion -resistance nickel - based EP718 and 718 alloys by using electrolytic extraction method

2019 ◽  
Vol 121 ◽  
pp. 04004 ◽  
Author(s):  
Andrey Karasev ◽  
Ekaterina Alekseeva ◽  
Aleksey Lukianov ◽  
Pär G. Jönsson
Keyword(s):  
Corrosion Resistance ◽  
Extraction Method ◽  
Oil And Gas ◽  
Three Dimensional ◽  
Steel Production ◽  
Immersion Test ◽  
Corrosion Properties ◽  
Electrolytic Extraction ◽  
Electrochemical Tests ◽  
Metallic Inclusions

It is known that non-metallic inclusions (NMI) that are formed during steel production and heat treatment can significantly affect the properties of final steel products. Therefore, it is very important to be able to determine the content of harmful NMI in steels. Nickel-based alloys are widely used in the oil and gas recovery industry, due to a good combination of strength and corrosion properties. Earlier studies have shown that the corrosion properties in immersion test and electrochemical tests for Ni-based EP718 alloys are slightly lower than that for 718 alloys. The focus in this study was the influence of different NMI on the corrosion resistance of these alloys. The characteristics of inclusions (such as size, morphology, and chemical composition) were analysed by using the electrolytic extraction method followed by three-dimensional investigations using SEM in combination with EDS. It was found that some non-metallic inclusions in EP718 alloys significantly reduce its corrosion resistance. It was also shown that a primary dissolution of the metal matrix occurs around certain inclusions during electrolytic extraction. Based on obtained results, the corrosion active non-metallic inclusions can be determined in these Nickel-base alloys and some recommendations for optimization of their production technology can be formulated.

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