Texture Analysis for Trabecular Bone X-Ray Images Using Anisotropic Morlet Wavelet and Rényi Entropy

Abstract

In this paper, we propose a new method based on texture analysis for the early diagnosis of bone disease such as osteoporosis. Our proposed method is based on a combination of four methods. First, bone X-ray images are enhanced using the algorithm of Retinex. Then, the enhanced images are analyzed using the fully anisotropic Morlet wavelet. This step is followed by the quantification of the anisotropy of the images using the Rényi entropy. Finally, the Rényi entropies are used as entries for a neural network. Applied on two different populations composed of osteoporotic (OP) patients and control (CT) subjects, a classification rate of 95% is achieved which provides a good discrimination between OP patients and CT subjects.

Texture analysis can be used to improve skin sonography quantification capacities

“…A matriz foi então usada para extrair parâmetros estatísticos, como correlação, média, raiz quadrada média [14]. A TA tem sido utilizad com sucesso no passado para a análise de imagens radiográficas do osso trabecular [15], imagens de ressonância magnética [16], [17], mas não para ultrassonografias até o momento. O objetivo deste trabalho foi explorar ferramentas TA para quantificar e comparar as alterações na epiderme, derme, hipoderme na pele intacta, hidratada e eritema e oferecer uma estratégia potencial para obter parâmetros semi-quantificáveis de imagens de ultrassonografia.…”

“…The matrix is then used to extract statistical parameters, such as correlation, mean, root mean square [14]. TA has been successfully employed in the past for the analysis of Xray images of trabecular bone [15], magnetic resonance images [16], [17], but not for sonograms as yet. Our aim was to explore TA tools to quantify and compare changes in the epidermis, dermis, hypodermis in intact, hydrated skin and erythema and offer a potential strategy to obtain semi-quantifiable parameters from ultrasonography images.…”

Texture Analysis is a Useful Tool to Assess the Complexity Profile of Microcirculatory Blood Flow

“…Thus far, TA in medical imaging has been more frequently applied to mammography [22], ultrasonography, computerized tomography (CT) [23], and magnetic resonance imaging (MRI) [24] techniques [25], as well as to dermatoscopy [26] and microscopy images [27]. In particular, TE has been used to explore immune competence of lymphoid tissue in microscopic images [28], to assess the onset organ (liver) disease and tumor (colorectal cancer) evolution in CT scans [29][30][31], and to assess bone regeneration in fractures [32] and osteoarthritis [33], among others. In medical imaging, TE does not necessarily decrease when images display abnormal features.…”

Histogram of Oriented Gradients and Texture Features for Bone Texture Characterization

“…Salmi et al [11] developed a texture analysis method for the trabecular bone X-ray images. The main goal of this project was to study the effect of preprocessing the data of bone radiograph images for the diagnosis of osteoporosis.…”