Semiautomatic classification of benign and malignant vertebral fractures in magnetic resonance imaging

• Grant number: 14/12135-0
• Support Opportunities: Scholarships in Brazil - Master
• Effective date (Start): September 01, 2014
• Effective date (End): August 07, 2016
• Field of knowledge: Health Sciences - Medicine - Medical Radiology
• Principal Investigator: Marcello Henrique Nogueira Barbosa
• Grantee: Lucas Frighetto Pereira
• Host Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Associated scholarship(s): 15/08778-6 - Semi-automatic classification of vertebral compression fractures using shape techniques of image processing in magnetic resonance imaging., BE.EP.MS

Abstract

The purpose of the study is the development of techniques for Computer Aided Diagnosis (CAD) for the identification and classification of vertebral compression fractures in magnetic resonance imaging (MRI). The proposal is to evaluate retrospectively the MR images of the lumbosacral spine performed in routine clinical practice at University Hospital in our institution. MRI images acquired T1-weighted sagittal will be used. Examinations of patients who underwent MRI of the lumbosacral spine will be included in the study. The feature extraction is obtained from a manual segmentation of the vertebral bodies. The benchmark used to test the performance of semi-automatic classification of vertebral fractures is a rank held by a senior radiologist specialist in diagnostic imaging of the spine and MR. The vertebral lumbar bodies area, coefficient of variation of the gray level histogram, skewness, kurtosis, moments and 14 Haralick attributes are the features that will be extracted. The feature vector is used as input to the classifier k-nearest and neural network.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CASTI, PAOLA; MENCATTINI, ARIANNA; NOGUEIRA-BARBOSA, MARCELLO H.; FRIGHETTO-PEREIRA, LUCAS; AZEVEDO-MARQUES, PAULO MAZZONCINI; MARTINELLI, EUGENIO; DI NATALE, CORRADO. Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, v. 12, n. 11, p. 1971-1983, NOV 2017. (14/12135-0)

FRIGHETTO-PEREIRA, LUCAS; RANGAYYAN, RANGARAJ MANDAYAM; METZNER, GUILHERME AUGUSTO; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; NOGUEIRA-BARBOSA, MARCELLO HENRIQUE. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images. COMPUTERS IN BIOLOGY AND MEDICINE, v. 73, p. 147-156, JUN 1 2016. (15/08778-6, 14/12135-0)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

PEREIRA, Lucas Frighetto. Semiautomatic classification of benign and malignant vertebral fractures in magnetic resonance imaging. 2016. Master's Dissertation - Universidade de São Paulo (USP). Faculdade de Medicina de Ribeirão Preto (PCARP/BC) Ribeirão Preto.