Evaluation of complexity of induced necrosis zone shape by means of principal component analysis

Radiofrequency ablation (RFA) is medical procedure that causes coagulation necrosis in the ablative tissue. Experts using descriptive and morphometric methods usually assess the shape of necrosis zone. However, a precise and objective assessment of necrosis zone shape requires quantitative evaluation methodology that includes computerized mathematical algorithms. One of such methods is presented in the program package “SHAPE ver.1.3”, in which quantitative evaluation of various biological contour shapes is based on principal component analysis of elliptic Fourier descriptors (EFDs). Aim of present study was elaboration of quantitative measure for complexity of the necrosis zone shape after radiofrequency ablation. We performed assessment of suitability of computer program package “SHAPE ver. 1.3” to produce valuable estimates of necrosis zone shape. Minimal yet sufficient number of principal components for optimal representation of necrosis area shape could be a quantitative measure of the shape complexity. Program package “SHAPE ver.1.3” together with proposed procedure for determination of this measure could be used for optimization of radiofrequency ablation procedures.

[1]  Rimantas Barauskas,et al.  Investigation of radiofrequency ablation process in liver tissue by finite element modeling and experiment. , 2007, Medicina.

[2]  S. Wold.  Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .

[3]  F. Johnston,et al.  The electrical conductivity of the tissues near the heart and its bearing on the distribution of the cardiac action currents , 1943 .

[4]  Dengsheng Zhang,et al.  A comparative study on shape retrieval using Fourier descriptiors with different shape signatures , 2001 .

[5]  May D. Wang,et al.  Histological image classification using biologically interpretable shape-based features , 2013, BMC Medical Imaging.

[6]  Nadine Eberhardt,et al.  Bioelectrical Signal Processing In Cardiac And Neurological Applications , 2016 .

[7]  Evaluation Study on the Operation Ability of Urban Old-age Care Service Institutions Based on Principal Component Analysis , 2013 .

[8]  A. Samal,et al.  Plant species identification using Elliptic Fourier leaf shape analysis , 2006 .

[9]  F. Rohlf,et al.  A COMPARISON OF FOURIER METHODS FOR THE DESCRIPTION OF WING SHAPE IN MOSQUITOES (DIPTERA: CULICIDAE) , 1984 .

[10]  P. Besse,et al.  Sur l'usage de la validation croisée en analyse en composantes principales , 1993 .

[11]  Seiji Matsuura,et al.  Evaluation of variation of root shape of Japanese radish (Raphanus sativus L.) based on image analysis using elliptic Fourier descriptors , 1998, Euphytica.

[12]  RF ablation at audio frequencies preferentially targets tumor - a finite element study , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[13]  H. Iwata,et al.  SHAPE: a computer program package for quantitative evaluation of biological shapes based on elliptic Fourier descriptors. , 2002, The Journal of heredity.