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A novel approach for digital mammograms segmentation is proposed. This approach aims to segment the mammograms using an iterative fusion process of information obtained from multiple sources of knowledge (contextual, image processing algorithm, a priori knowledge, etc). Initial Fuzzy Membership Maps (IFMMs) of different thematic classes are first estimated using available information. These IFMM's...
In Technitium-99m myocardial perfusion SPECT (MPS) tomograms, there is usually a substantial radioactive tracer uptake in the abdominal organs, especially the liver, bowel and stomach. This extracardiac activity frequently emerges as areas of intense brightness or hotspots, which hamper efforts in automatic MPS quantification. Though it would be favourable to remove the hotspots, their multitudinous...
Venous thrombosis (VT) volume assessment, by verifying its risk of progression when anticoagulant or thrombolytic therapies are prescribed, is often necessary to screen life-threatening complications. Commonly, VT volume estimation is done by manual delineation of few contours in the ultrasound (US) image sequence, assuming that the VT has a regular shape and constant radius, thus producing significant...
In this paper, we present a new system for interactively calibration algorithm validate by registering three-dimensional US and three-dimensional magnetic resonance imaging (MRI) to explore atheromatous lesions in carotid. This registration becomes to validate calibration process of US probe, which is based on alignment of US and MR image. This calibration is based on electromagnetic system called...
Clinical assessment of venous thrombosis (VT) is essential to evaluate the risk of size increase or embolism. Analyses like echogenecity and echostructure characterization, examine ancillary evidence to improve diagnosis. However, such analyses are inherently uncertain and operator dependent, adding enormous complexity to the task of indexing diagnosed images for medical practice support, by retrieving...
The exchange of databases between hospitals requires efficient transmission and storage to reduce the cost of health care. This exchange involves a large amount of vital patient information such as patient details, history and measured physiological signals, documents and medical images. This paper presents a technique of interleaving patient information such as text documents and physiological signals...
Venous thrombosis is a common pathology that creates serious public health problems. Thrombosis diagnosis, particularly the determination of their echogenicity and echostructure can be efficiently accomplished by a medical expert using ultrasound imaging. On the other hand, the predictive capability of artificial neural networks is very useful in medical applications and can support medical experts...
Venous thrombosis screening exams use 2D ultrasound images, from which medical experts obtain a rough idea of the thrombosis aspect and infer an approximate volume. Such estimation is essential to follow up the thrombosis evolution. This paper proposes a method to calculate venous thrombosis volume from non-parallel 2D ultrasound images, taking advantage of a priori knowledge about the thrombosis...
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