Image processing

Research field addressed to the development of techniques and softwares for medical image processing in order to automatic recognition of anatomical and pathological patterns of clinical interest. Development of schemes in computer-aided diagnosis (CAD) for early detection of breast cancer is also a kind of research involved. This field has been also attempted recently to works related to radiographic images digitization and development of medical images databases.

Recently concluded researches:

• Clustered microcalcifications detection in digital mammograms;

• Development of breast images database for digital processing;

• Investigation on digital images format and compression for dense breast images processing;

• Microcalcifications segmentation techniques in dense breast images;

• Masses segmentation techniques in dense breast images;

• Masses classification in dense breast images by wavelets transform;

• Algorithms for detecting shapes and details of pathological interest in radiographic images;

• CAD schemes for suspect structures detection in digital mammograms;

• Development of automatic classifiers based on artificial neural networks for CAD schemes in mammography;

• Quality investigations on digital radiological systems by the MTF method;

• Segmentation of breast ultrasound images for nodules detection and classification;

• Periodontal bone resorption analysis by digital radiography images subtraction;

Quality Assurance and Instrumentation

Research field addressed mainly to the development of methods and algorithms for quality assurance of radiographic images and instrumentation for inspection of parameters related to X-rays equipment operation.

• Analysis of X-rays beam quality in mammographic facilities by development of kVp measurement digital systems;

• Computer simulation for evaluating radiological image systems by the transfer function method;

• Computer simulation of the radiologic images sharpness for quality assurance purposes;

• Computerized device for investigation of operational parameters and focal spot of radiographic systems;

• Computer simulation for investigating the half-value layer;

• Computer simulation of mammographic images recording systems;

• Tool for aiding the training in mammographic images evaluation by Internet;

• A quality relative index for evaluation of radiographic systems by the MTF method;

• Quality investigations on digital radiological systems by the MTF method;

• Optical transfer function simulation applied to mammographic images processing;

• Computer scheme for quality evaluation in diagnostic radiology;

• Computer-aided diagnosis scheme in mammography associated to an image quality assurance program;

• Investigations on digital mammography images quality;

• Software for quality assurance from mammographic phantom images;

• Quality evaluation of dentistry radiological equipment;