Algorithm Programming for 3D Fractal Dimension Evaluation

被引:0
|
作者
Bartres, A. [1 ]
Oliver, S. [1 ]
Pellicer, B. [1 ]
Oliver, L. [1 ]
Campo, V. [1 ]
Barrios, M. [2 ]
Arana, E. [2 ]
Gonzalez, V. [1 ]
机构
[1] Fdn Inst Valenciano Oncol, Serv Radiofis & Protecc Radiol, Valencia, Spain
[2] Fdn Inst Valenciano Oncol, Serv Radiodiagnost, Valencia, Spain
来源
2016 GLOBAL MEDICAL ENGINEERING PHYSICS EXCHANGES/PAN AMERICAN HEALTH CARE EXCHANGES (GMEPE/PAHCE) | 2016年
关键词
MATLAB; ImageJ; Fractal Dimension; Lung Cancer; TEXTURE ANALYSIS; TUMOR HETEROGENEITY; FDG-PET; CT; IMAGES; MRI;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An algorithm has been programmed with MATLAB (Mathworks Inc., USA) to calculate Dual Energy Computed Tomography (DECT) images fractal dimension. It is based upon MapFractalCount ImageJ (National Institute of Health, USA) plugin. It estimates 3D structures fractal dimension value. It works both for standard images and for DECT virtual reconstructed images (monochromatic virtual images, iodine absorption maps and perfusion studies). This software adds value to similar algorithms, since it automatizes measurement process, calculates fractal dimension at 3D contours and averages final result by weighting of lesion size at each slice. It has been assessed for 68 patients presenting with pulmonary masses, and the result was compared to classical methodology of measuring fractal dimension only at the largest diameter lesion slice.
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页数:4
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