Laws’ masks descriptors applied to bone texture analysis: an innovative and discriminant tool in osteoporosis

Rachidi, M.; Marchadier, Arnaud; Gadois, C.; Lespessailles, Éric; Chappard, Christine; Benhamou, Claude Laurent

doi:10.1007/s00256-008-0463-2

Cited by 54 publications

(22 citation statements)

References 23 publications

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“…This parameter is inversely correlated to the entropy, in accordance with previous works (28,33,34). This might be explained by the fibers being more marked in the control group, with an increase in the randomness of the pixel values, and eventually an increase in the entropy and a decrease in energy.…”

Section: Discussionsupporting

confidence: 76%

3D bone texture analysis as a potential predictor of radiation-induced insufficiency fractures

Nardone¹,

Tini²,

Croci³

et al. 2018

Quant. Imaging Med. Surg.

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Background: The aim of our work is to assess the potential role of texture analysis (TA), applied to computed tomography (CT) simulation scans, in relation to the development of insufficiency fractures (IFs) in patients undergoing radiation therapy (RT) for pelvic malignancies. Methods:We analyzed patients undergoing pelvic RT from Jan-2010 to Dec-2016, 31 of whom had developed IFs of the pelvis. We analyzed CT simulation scans using LifeX Software © , and in particular we selected three regions of interest (ROI): L5 body, the sacrum and both the femoral heads. The ROI were automatically contoured using the treatment planning software Raystation © . TA parameters included parameters from the gray-level histogram, indices from sphericity and from the matrix of GLCM (gray level co-occurrence matrix). The IFs patients were matched (1:1 ratio) with control patients who had not developed IFs, and were matched for age, sex, type of tumor, menopausal status, RT dose and use of chemotherapy. Univariate and multivariate analyses (logistic regression) were used for statistical analysis.Results: Significant TA parameters on univariate analysis included both parameters from the histogram distribution, as well from the matrix of GLCM. On logistic regression analysis the significant parameters Conclusions: In our experience, 3D-bone CT TA can be used to stratify the risk of the patients to develop radiation-induced IFs. A prospective study will be conducted to validate these findings.

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Section: Discussionsupporting

confidence: 76%

3D bone texture analysis as a potential predictor of radiation-induced insufficiency fractures

Nardone¹,

Tini²,

Croci³

et al. 2018

Quant. Imaging Med. Surg.

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“…The fractal analysis of bone texture was also able to separate vertebral and hip fracture cases from osteoporotic cases and controls [22][23][24][25][26], even after adjusting for age and (trochanteric) femoral BMD or weight [27]. These data support the use of 2D fractal analysis in addition to BMD to improve fracture risk prediction.…”

Section: Introductionsupporting

confidence: 54%

“…This finding suggests that image processing methods could be potentially used like an "equalizer" in an audio system, where the user can manipulate which band of spectrum to be amplified at the cost of the rest of the bands. It is conceivable that such a "spectral" approach can be developed in future refinements of the analysis methods in addition to those already available, such as co-occurrence and run-length matrices [27,68], Fourier-based image analyses [69] and Laws' masks methods [26] to characterize DTS textures.…”

Section: Discussionmentioning

confidence: 99%

Digital tomosynthesis (DTS) for quantitative assessment of trabecular microstructure in human vertebral bone

Kim

Oravec

Nekkanty

et al. 2015

Medical Engineering & Physics

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“…Five statistics, i.e., mean, standard deviation, skewness, kurtosis, and energy are extracted from each TR image [41,42]. Thus, 30 Laws' texture features (6 TR images × 5 statistical parameters) are computed for each ROI.…”

Section: Selection Of Roi Sizementioning

confidence: 99%

Characterization of Primary and Secondary Malignant Liver Lesions from B-Mode Ultrasound

et al. 2013

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Characterization of hepatocellular carcinomas (HCCs) and metastatic carcinomas (METs) from B-mode ultrasound presents a daunting challenge for radiologists due to their highly overlapping appearances. The differential diagnosis between HCCs and METs is often carried out by observing the texture of regions inside the lesion and the texture of background liver on which the lesion has evolved. The present study investigates the contribution made by texture patterns of regions inside and outside of the lesions for binary classification between HCC and MET lesions. The study is performed on 51 real ultrasound liver images with 54 malignant lesions, i.e., 27 images with 27 solitary HCCs (13 small HCCs and 14 large HCCs) and 24 images with 27 MET lesions (12 typical cases and 15 atypical cases). A total of 120 within-lesion regions of interest and 54 surrounding lesion regions of interest are cropped from 54 lesions. Subsequently, 112 texture features (56 texture features and 56 texture ratio features) are computed by statistical, spectral, and spatial filtering based texture features extraction methods. A two-step methodology is used for feature set optimization, i.e., feature pruning by removal of nondiscriminatory features followed by feature selection by genetic algorithm-support vector machine (SVM) approach. The SVM classifier is designed based on optimum features. The proposed computer-aided diagnostic system achieved the overall classification accuracy of 91.6 % with sensitivity of 90 % and 93.3 % for HCCs and METs, respectively. The promising results obtained by the proposed system indicate its usefulness to assist radiologists in diagnosing liver malignancies.

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Laws’ masks descriptors applied to bone texture analysis: an innovative and discriminant tool in osteoporosis

Abstract: The reproducibility and discriminant power of the Laws' masks analysis has been demonstrated on bone images; thus, this method constitutes a promising routine technique for the determination of osteoporosis fracture risk from radiographs.

Cited by 54 publications

References 23 publications

3D bone texture analysis as a potential predictor of radiation-induced insufficiency fractures

3D bone texture analysis as a potential predictor of radiation-induced insufficiency fractures

Digital tomosynthesis (DTS) for quantitative assessment of trabecular microstructure in human vertebral bone

Characterization of Primary and Secondary Malignant Liver Lesions from B-Mode Ultrasound

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