Feasibility study of a new platform based on the Case-Based Reasoning principles to efficiently search and store voxel phantoms

Henriet, Julien; Farah, Jad; Chebel-Morello, Brigitte; Bopp, M.; Broggio, David; Makovicka, Libor

doi:10.1051/radiopro/2009033

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…Case-Based Reasoning (CBR) is a problem solving method that uses similar solutions from similar past problems in order to solve new problems [6]. Based on the ReEPh (Research of Equivalent Phantom) project [7,8], the EquiVox project strikes a new path in the field of problem solving methods for the retrieval and the adaptation of 3D phantoms. It uses the CBR-approach to find the most similar phantom(s) within any set of phantoms and then attempts to adapt them to the characteristics of the target case (the victim).…”

Section: Introductionmentioning

confidence: 99%

Equivox: An Example of Adaptation Using an Artificial Neural Network on a Case-Based Reasoning Platform

Henriet¹,

Chebel-Morello

Salomon

et al. 2013

Biomed. Eng. Appl. Basis Commun.

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In case of a radiological emergency situation involving accidental human exposure, a dosimetry evaluation must be established as soon as possible. In most cases, this evaluation is based on numerical representations and models of victims. Unfortunately, personalized and realistic human representations are often unavailable for the exposed subjects. However, accuracy of treatment depends on the similarity of the phantom to the victim. The EquiVox platform (Research of Equivalent Voxel phantom) developed in this study uses case-based reasoning (CBR) principles to retrieve and adapt, from among a set of existing phantoms, the one to represent the victim. This paper introduces the EquiVox platform and the artificial neural network (ANN) developed to interpolate the victim's 3D lung contours. The results obtained for the choice and construction of the contours are presented and discussed.

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Section: Introductionmentioning

confidence: 99%

Equivox: An Example of Adaptation Using an Artificial Neural Network on a Case-Based Reasoning Platform

Henriet¹,

Chebel-Morello

Salomon

et al. 2013

Biomed. Eng. Appl. Basis Commun.

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Introduction of a combination vector to optimise the interpolation of numerical phantoms

Henriet

Chatonnay

2013

Expert Systems with Applications

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International audiencePhantoms are 3-dimensional (3D) numerical representations of the contours of organs in the human body. The quality of the dosimetric reports established when accidental overexposures to radiation occur is highly dependent on the phantom's reliability with respect to the subject. EquiVox is a Case- Based Reasoning platform which proposes an interpolation of the 3D Lung Contours (3DLC) of subjects during its adaptation phase. This interpolation is conducted by an Artificial Neural Network (ANN) trained to learn how to interpolate the 3DLC of a Learning Set (LS). ANN is a well-suited tool when known results are numerous. Since the cardinality of our learning set is restrained, the imperfections of each 3DLC have a great impact on interpolations. Thus, we explored the possibility of ignoring some of the 3DLC of LS via implementation of a new learning algorithm which associated Combination Vectors (CV) to LS. The results proved that this method could optimise interpolation accuracy. Furthermore, this study highlights the fact that some of the 3DLC were harmful for some interpolations whereas they increased the accuracy of others

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Nouvelle méthode de surveillance des travailleuses du nucléaire par anthroporadiamétrie : utilisation des calculs Monte Carlo associés aux fantômes déformables de type Mesh et NURBS

2011

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Feasibility study of a new platform based on the Case-Based Reasoning principles to efficiently search and store voxel phantoms

Cited by 3 publications

References 27 publications

Equivox: An Example of Adaptation Using an Artificial Neural Network on a Case-Based Reasoning Platform

Equivox: An Example of Adaptation Using an Artificial Neural Network on a Case-Based Reasoning Platform

Introduction of a combination vector to optimise the interpolation of numerical phantoms

Nouvelle méthode de surveillance des travailleuses du nucléaire par anthroporadiamétrie : utilisation des calculs Monte Carlo associés aux fantômes déformables de type Mesh et NURBS

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