scholarly journals A novel tool for monitoring and assessing the outcome of thermal ablations of hepatic lesions

2021 ◽  
Vol 7 (1) ◽  
pp. 72-75
Author(s):  
Georg Hille ◽  
Felicitas Brokmann ◽  
Bennet Hensen ◽  
Julian Alpers ◽  
Frank Wacker ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Heat Propagation ◽  
Treatment Result ◽  
Proof Of Concept ◽  
Patient Case ◽  
Anatomical Structures ◽  
Hepatic Tumours ◽  
Hepatic Lesions ◽  
Temperature Maps ◽  
2D And 3D

Abstract This paper presents a proof-of-concept intervention monitoring and outcome assessment tool for thermal ablative strategies like microwave ablation of hepatic tumours. For this purpose, simulated 3D+t temperature maps of the ablation progress are combined with liver MR imaging, as well as corresponding segmentations of the lesion and other relevant anatomical structures. The proposed tool mainly consists of a monitoring and validation part, each comprising 2D and 3D visualisations and various modifiable settings. With the aid of the monitoring features, the heat propagation during the ablation progress could be visually tracked, while the validation part of the tool provides the radiologist with comprehensible and detailed feedback to assess the treatment result. Hence, it could enable an immediate validation of the ablation progress and support interventional decision-making. For evaluation purposes, we used an exemplary patient case to demonstrate the benefits of the proposed prototype. This tool could represent a crucial step towards a suitable computerassisted and more accurate workflow of thermal ablations, with benefits for both, patients and radiologists.

RCC-MRx Appendix A16 Methodology for the Analytical J Calculation Under Thermal and Combined Thermal + Mechanical Loadings for Pipes and Elbows and Related Assessment Tool MJSAM

2011 ◽  
Author(s):  
S. Marie ◽  
M. Ne´de´lec ◽  
C. Delaval
Keyword(s):  
Nuclear Power ◽  
Assessment Tool ◽  
Analytical Calculation ◽  
Large Set ◽  
Microsoft Excel ◽  
Defect Assessment ◽  
Initiation And Propagation ◽  
Creep Fatigue ◽  
Assessment Procedures ◽  
2D And 3D

RCC-MRx code provides flaw assessment methodologies and related tools for Nuclear Power Plant cracked components. An important work has been made in particular to develop a large set of compendia for the calculation of the parameter J for various components (plates, pipes, elbows,…) and various defect geometries. Also, CEA in the frame of collaborations with IRSN, developed a methodology for J analytical calculation for cracked pipes and elbows submitted to thermal and combined mechanical and thermal loadings. This paper presents first the development of this methodology and an overview of the validation strategy, based on reference 2D and 3D F.E. calculations. The second part of the paper presents the last version of the MJSAM tools which is based on the 2010 version of the appendix A16 of the RCC-MRx code. All compendia (for KI, J and C* calculation) and all defect assessment procedures have been implemented in the tool: It covers crack initiation and propagation under fatigue, creep, creep-fatigue and ductile tearing situations. Sensitivity and probabilistic analyses can also been performed with this tool, directly linked to Microsoft Excel software for the results exploitation.

The Morbidity & Mortality Assessment Tool (MMAT): Design and Proof of Concept

2021 ◽  
Vol 267 ◽  
pp. 260-266
Author(s):  
Tandis Soltani ◽  
KeyYan Tsoi ◽  
Aidan Charles ◽  
Alex Csortan ◽  
Jessica Lindsay ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Proof Of Concept

scholarly journals Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Ayman El-Baz ◽  
Ahmed Elnakib ◽  
Mohamed Abou El-Ghar ◽  
Georgy Gimel'farb ◽  
Robert Falk ◽  
...  
Keyword(s):  
Template Matching ◽  
Automatic Detection ◽  
Spiral Ct ◽  
Lung Nodules ◽  
Data Sets ◽  
Genetic Optimization ◽  
Anatomical Structures ◽  
Lung Abnormalities ◽  
Ct Data ◽  
2D And 3D

Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs. In this paper, we propose a novel algorithm for isolating lung abnormalities (nodules) from spiral chest low-dose CT (LDCT) scans. The proposed algorithm consists of three main steps. The first step isolates the lung nodules, arteries, veins, bronchi, and bronchioles from the surrounding anatomical structures. The second step detects lung nodules using deformable 3D and 2D templates describing typical geometry and gray-level distribution within the nodules of the same type. The detection combines the normalized cross-correlation template matching and a genetic optimization algorithm. The final step eliminates the false positive nodules (FPNs) using three features that robustly define the true lung nodules. Experiments with 200 CT data sets show that the proposed approach provided comparable results with respect to the experts.

Underwater Photogrammetry as an Environmental Assessment Tool to Monitor Coral Reefs and Artificial Structures

2021 ◽  
Author(s):  
Mahamadaly Vincent ◽  
Urbina Bareto Isabel ◽  
Fréchon Louis ◽  
Pinel Romain ◽  
Garnier Rémi ◽  
...  
Keyword(s):  
Coral Reefs ◽  
Assessment Tool ◽  
Survey Methods ◽  
Management Tools ◽  
Slope Length ◽  
Artificial Structures ◽  
Morphological Studies ◽  
Wide Range ◽  
Technical Advances ◽  
2D And 3D

Abstract Over the past decade, photogrammetry has grown considerably thanks to technical advances in digital cameras and computing performance. Popular in terrestrial applications with the development of UAV acquisition, photogrammetry provides access to accurate scene reconstruction, high-resolution measurements, and temporal comparisons with a wide range of geolocated and scaled 2D and 3D supports. Nowadays, photogrammetry represents a particular challenge in the underwater field such as environmental monitoring, marine construction, technical inspection, and archaeology. Our study aims to develop underwater acquisition protocols and new tools for marine resources surveys and management to understand the role of 3D characteristics in both coral reefs and artificial structures. Two specific protocols were designed and optimized to reconstruct from coral colonies to coral reefs and artificial structures (up to 500m²) with a mean resolution of 0.05cm/pixel. Here several quantitative descriptors based on 2D and 3D metrics (such as slope, length, surface, volume, rugosity) were calculated for morphological studies and temporal comparisons. The photogrammetric technique now offers higher quality and accuracy tools compared to traditional survey methods. These advantages make possible to access to new scientific surveys of underwater ecosystems and as environmental management tools may prove to be valuable for future.

scholarly journals 3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review

2020 ◽  
Author(s):  
Daria Kern ◽  
Andre Mastmeyer
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Medical Image ◽  
Image Data ◽  
Random Regression ◽  
Feature Engineering ◽  
Anatomical Structures ◽  
Bounding Box ◽  
Medical Image Data ◽  
2D And 3D

This paper discusses current methods and trends for 3D bounding box detection in volumetric medical image data. For this purpose, an overview of relevant papers from recent years is given. 2D and 3D implementations are discussed and compared. Multiple identified approaches for localizing anatomical structures are presented. The results show that most research recently focuses on Deep Learning methods, such as Convolutional Neural Networks vs. methods with manual feature engineering, e.g. Random-Regression-Forests. An overview of bounding box detection options is presented and helps researchers to select the most promising approach for their target objects.<br>

scholarly journals Quasi-Isometric Mesh Parameterization Using Heat-Based Geodesics and Poisson Surface Fills

Mathematics ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. 753
Author(s):  
Daniel Mejia-Parra ◽  
Jairo R. Sánchez ◽  
Jorge Posada ◽  
Oscar Ruiz-Salguero ◽  
Carlos Cadavid
Keyword(s):  
Piecewise Linear ◽  
Heat Propagation ◽  
Isometric Mapping ◽  
Central Process ◽  
Mesh Parameterization ◽  
Cad Cam ◽  
Euclidean Distances ◽  
Geodesic Distances ◽  
The Difference ◽  
Temperature Maps

In the context of CAD, CAM, CAE, and reverse engineering, the problem of mesh parameterization is a central process. Mesh parameterization implies the computation of a bijective map ϕ from the original mesh M ∈ R 3 to the planar domain ϕ ( M ) ∈ R 2 . The mapping may preserve angles, areas, or distances. Distance-preserving parameterizations (i.e., isometries) are obviously attractive. However, geodesic-based isometries present limitations when the mesh has concave or disconnected boundary (i.e., holes). Recent advances in computing geodesic maps using the heat equation in 2-manifolds motivate us to revisit mesh parameterization with geodesic maps. We devise a Poisson surface underlying, extending, and filling the holes of the mesh M. We compute a near-isometric mapping for quasi-developable meshes by using geodesic maps based on heat propagation. Our method: (1) Precomputes a set of temperature maps (heat kernels) on the mesh; (2) estimates the geodesic distances along the piecewise linear surface by using the temperature maps; and (3) uses multidimensional scaling (MDS) to acquire the 2D coordinates that minimize the difference between geodesic distances on M and Euclidean distances on R 2 . This novel heat-geodesic parameterization is successfully tested with several concave and/or punctured surfaces, obtaining bijective low-distortion parameterizations. Failures are registered in nonsegmented, highly nondevelopable meshes (such as seam meshes). These cases are the goal of future endeavors.

scholarly journals Development of a visual analytics tool for polytrauma patients: Proof of concept for a new assessment tool using a multiple layer sankey diagram in a single-center database

2021 ◽  
Vol 108 (Supplement_4) ◽  
Author(s):  
C Niggli ◽  
H -C Pape ◽  
L Mica
Keyword(s):  
Visual Analytics ◽  
Trauma Center ◽  
Injury Severity ◽  
Assessment Tool ◽  
Binary Logistic Regression ◽  
Proof Of Concept ◽  
Data Set ◽  
Predictive Parameters ◽  
Polytrauma Patients ◽  
Level I

Abstract Objective Early physiological assessment of multiply injured patients is crucial for decision-making and has relied on personal experience of trauma experts. We have developed a new visual analytics tool (Sankey diagram, Watson Trauma Health care tool) that includes known prognostic parameters for polytrauma patients to help guide assessment and treatment decisions for physicians involved in trauma care. Methods A prospectively collected trauma database of a single level I trauma center (3655 patients) was used. Inclusion criteria: age &gt; 16 years, an Injury Severity Score (ISS) &gt; 16, and presence of a complete data set in the database. Data collected included admission values of patient age, injury scoring, shock classification, temperature, acid-base and hemostasis parameters. All of these parameters were collected daily as longitudinal parameters. Endpoints of the clinical course we considered were sepsis, SIRS and early in-hospital mortality (&lt;72 hours). A proof of concept of the visualization was developed over a 2-year period in a cooperation between physicians and engineers. Statistically, the most predictive parameters were selected by binary logistic regression and ROC analysis. Results A dynamic interactive multi-layer Sankey diagram, based on cohort similarities, was developed in a collaboration between a level I trauma center and IBM, from August 2017 until January 2018. It is a modular tool and allows any user to add a new patient, or work with an existing case. The visualisation used the Data-Driven Documents (D3) interactive visualisation library to create a responsive graphic. Conclusion This application summarizes the experience of 3655 polytrauma patients and might serve as a guide for clinical decisions and educative purposes, as well as new scientific questions for the polytrauma patient.

scholarly journals Non-invasive assessment of cardiac percutaneous occluders healing process using computed tomography imaging: a proof of concept study

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
E Perdreau ◽  
Z Jalal ◽  
R Walton ◽  
M Sigler ◽  
H Cochet ◽  
...  
Keyword(s):  
Histological Study ◽  
Healing Process ◽  
Image Resolution ◽  
Blue Staining ◽  
Median Surface ◽  
Micro Ct ◽  
Proof Of Concept ◽  
The Right ◽  
2D And 3D

Abstract Funding Acknowledgements Type of funding sources: Other. Main funding source(s): National Research Agency (ANR) French Federation of Cardiology : “Aide à la recherche par équipe 2018, Cardiopathies de l’enfant” Introduction After percutaneous implantation of an atrial septal defect (ASD) occluder device, a complex healing process leads to the device coverage within several months. However, an unexplained incomplete device coverage is at risk of complications such as thrombosis or infectious endocarditis. Purpose The aim of the study was to assess the device coverage process of ASD occluder devices in a chronic sheep model using micro-CT technology. Methods After percutaneous creation of an ASD by catheterization, 8 ewes (mean age 5.4 ± 0.7 yo and mean weight 55.6 ± 7.9 kg) were implanted with a 16-mm Nit-Occlud ASD-R occluder (PFM medical, Cologne, Germany) and were followed for 1 month (N = 3) and 3 months (N =5). After heart explantation, a iodine contrast agent was used to enhance the tissue signal. The device coverage was then assessed by micro-CT and the results were compared to histology, used as the gold standard for healing evaluation. The micro-CT image resolution was 41.7 µm. Reconstruction was performed in 2D and 3D with Amira® software, allowing to obtain images that were exploited by a code to measure the surface for each disk of the analyzed devices. Histological study was performed after resin embedding and Richardson blue staining was used.  The pathologist was blinded to the duration of animals’ follow-up and micro-CT results. Results ASD creation and device closure was successful in 100% animals without complications. Following heart explantation, macroscopic assessment of devices showed that the coverage was complete for the left-side disk regardless of the duration of the follow-up and variable for the right-side disk, depending of the protrusion of this disk. 2D and 3D micro-CT analysis allowed an accurate evaluation of device coverage of each disk and was overall well correlated to histology slices (cf Figure). Surface calculation from micro-CT images showed that the median surface of coverage was 93 ± 8% for the left-side disk and 55 ± 31% for the right-side disk. Conclusion This preliminary study made the proof of concept that micro-CT is a reliable tool to assess the coverage of intra-cardiac occluders in vitro. The translation to clinical practice is challenging but would allow an individual follow-up, to avoid thrombotic or infective complications. Abstract Figure.

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