scholarly journals Estimate of FDG Excretion by means of Compartmental Analysis and Ant Colony Optimization of Nuclear Medicine Data

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Sara Garbarino ◽  
Giacomo Caviglia ◽  
Massimo Brignone ◽  
Michela Massollo ◽  
Gianmario Sambuceti ◽  
...  
Keyword(s):  
Ant Colony Optimization ◽  
Fdg Pet ◽  
Final Section ◽  
Synthetic Data ◽  
Compartmental Analysis ◽  
Ant Colony ◽  
Computational Method ◽  
Positron Emission ◽  
Glycolytic Activity

[18F]fluoro-2-deoxy-D-glucose (FDG) is one of the most utilized tracers for positron emission tomography (PET) applications in oncology. FDG-PET relies on higher glycolytic activity in tumors compared to normal structures as the basis of image contrast. As a glucose analog, FDG is transported into malignant cells which typically exhibit an increased radioactivity. However, different from glucose, FDG is not reabsorbed by the renal system and is excreted to the bladder. The present paper describes a novel computational method for the quantitative assessment of this excretion process. The method is based on a compartmental analysis of FDG-PET data in which the excretion process is explicitly accounted for by the bladder compartment and on the application of an ant colony optimization (ACO) algorithm for the determination of the tracer coefficients describing the FDG transport effectiveness. The validation of this approach is performed by means of both synthetic data and real measurements acquired by a PET device for small animals (micro-PET). Possible oncological applications of the results are discussed in the final section.

scholarly journals Prognostic Impact of Pretherapeutic FDG-PET in Localized Anal Cancer

Cancers ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1512 ◽  
Author(s):  
Maelle Le Thiec ◽  
Aude Testard ◽  
Ludovic Ferrer ◽  
Camille Guillerminet ◽  
Olivier Morel ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Standardized Uptake Value ◽  
Tumour Mass ◽  
Prognostic Impact ◽  
Threshold Segmentation ◽  
Anal Squamous Cell Carcinoma ◽  
Positron Emission ◽  
Segmentation Methods ◽  
Fixed Threshold

Due to the heterogeneity of tumour mass segmentation methods and lack of consensus, our study evaluated the prognostic value of pretherapeutic positron emission tomography with fluorodeoxyglucose (FDG-PET) metabolic parameters using different segmentation methods in patients with localized anal squamous cell carcinoma (SCC). Eighty-one patients with FDG-PET before radiochemotherapy were retrospectively analyzed. Semiquantitative data were measured with three fixed thresholds (35%, 41% and 50% of Maximum Standardized Uptake Value (SUVmax)) and four segmentation methods based on iterative approaches (Black, Adaptive, Nestle and Fitting). Metabolic volumes of primary anal tumour (P-MTV) and total tumour load (T-MTV: P-MTV+ lymph node MTV) were calculated. The primary endpoint was event-free survival (EFS). Seven multivariate models were created to compare FDG-PET tumour volumes prognostic impact. For all segmentation thresholds, PET metabolic volume parameters were independent prognostic factor and T-MTV variable was consistently better associated with EFS than P-MTV. Patient’s sex was an independent variable and significantly correlated with EFS. With fixed threshold segmentation methods, 35% of SUVmax threshold seemed better correlated with EFS and the best cut-off for discrimination between a low and high risk of event occurrence was 40 cm3. Determination of T-MTV by FDG-PET using fixed threshold segmentation is useful for predicting EFS for primary anal SCC. If these data are confirmed in larger studies, FDG-PET could contribute to individualized patient therapies.

Applications of Ant Colony Optimization in determination of source parameters from total gradient of potential fields

2013 ◽  
Vol 12 (3) ◽  
pp. 373-390 ◽  
Author(s):  
Shalivahan Srivastava ◽  
Debanjan Datta ◽  
B.N.P Agarwal ◽  
Suman Mehta
Keyword(s):  
Ant Colony Optimization ◽  
Source Parameters ◽  
Ant Colony ◽  
Potential Fields ◽  
Total Gradient

HEURISTIC METHODOLOGY APPLIED TO WIND ENERGY: DETERMINATION OF WEIBULL CURVE PARAMETERS BY ANT COLONY OPTIMIZATION

2018 ◽  
Author(s):  
MARCUS VINICIUS SILVEIRA MACEDO ◽  
LINDEMBERG FERREIRA DOS SANTOS ◽  
Felipe Ferreira Gomes ◽  
Carla Freitas de Andrade ◽  
Paulo Alexandre Costa Rocha
Keyword(s):  
Wind Energy ◽  
Ant Colony Optimization ◽  
Ant Colony ◽  
Heuristic Methodology ◽  
Energy Determination

scholarly journals Determination of the Shortest Route on the Distribution System using Ant Colony Optimization (ACO) Algorithm (Case Study: Alfamidi Palu Branch – PT. Midi Utama Indonesia)

2021 ◽  
Vol 1 (2) ◽  
pp. 84-93
Author(s):  
Nabila Dwi Indria ◽  
Junaidi Junaidi ◽  
Iut Tri Utami
Keyword(s):  
Ant Colony Optimization ◽  
Distribution System ◽  
Ant Colony ◽  
Ant Colony System ◽  
Ant Colonies ◽  
Status Transition ◽  
Shortest Route ◽  
Transition Rules

The distribution system of goods is one of the most important parts for every company. The company certainly has many route options to visit, and this is expected to be conducted efficiently in terms of time. In the distribution of goods by Alfamidi company in Palu City which has 51 outlets include into the category of Traveling Salesman Problem (TSP) because of many route options that can be visited. The problem can be solved by employing the Ant Colony Optimization (ACO) method which is one of the algorithms Ant Colony System (ACS). The ACS acquires principles based on the behavior of ant colonies and applies three characteristics to determine the shortest route namely status transition rules, local pheromone renewal and global pheromones. The result showed that the shortest route of the distribution of goods based on the calculation of selected iterations was ant 1 with the shortest total distance obtained 86.98 km.

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