Anna Maria Massone

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The Hough transform is a standard pattern recognition technique introduced between the 1960s and the 1970s for the detection of straight lines, circles, and ellipses. Here we offer a mathematical foundation, based on algebraic-geometry arguments, of an extension of this approach to the automated recognition of rational cubic, quartic, and elliptic curves.(More)
Mechanisms of hematopoietic reconstitution after bone marrow (BM) transplantation remain largely unknown. We applied a computational quantification software application to hybrid 18F-fluorodeoxyglucose positron emission tomography (PET)/computed tomography (CT) images to assess activity and distribution of the hematopoietic system throughout the whole(More)
Despite their relevance in clinical medicine, the extension and activity of the bone marrow (BM) cannot be directly evaluated in vivo. We propose a new method to estimate these variables by combining structural and functional maps provided by CT and PET. BM extension and glucose uptake were estimated in 102 patients undergoing whole-body PET/CT because of a(More)
We develop a formal procedure for the automated recognition of rational and elliptic curves in medical and astronomical images. The procedure is based on the extension of the Hough transform concept to the definition of Hough transform of special classes of algebraic curves. We first introduce a catalogue of curves that satisfy the conditions to be(More)
In this paper we present a Hough Transform-based method for the detection of the spinal district in X-ray Computed Tomography (CT) images in order to build binary masks that can be applied to functional images to infer information on the metabolic activity of the spinal marrow. This kind of information may be of particular interest for the study of the(More)
OBJECTIVE To study behavioral and brain responses to variations in signal-to-noise ratio (SNR) of cognitive visual stimuli. METHODS We presented meaningful words visually, embedded in varying amounts of dynamic noise, and utilized magnetoencephalography (MEG) to measure responses to the words. A multidipole model of the evoked fields was constructed to(More)
Landsat data can be used to support a wide range of applications for monitoring the conditions of a selected land surface. For example, they can be used to map changes due to the effects of pollution and environmental degradation over different periods of time. In this paper we will present a comparison of fuzzy clustering algorithms for the segmentation of(More)
The Hough transform is a classical pattern recognition algorithm used to detect straight lines, circles and ellipses in images. Recently, algebraic geometry arguments have been applied to generalize this approach to special classes of curves. Here we provide preliminary results showing that this method can be utilized for the recognition of compact bone(More)
Kontar et al. (2004) have shown how to recover mean source electron spectra F (E) in solar flares through a physical constraint regularization analysis of the bremsstrahlung photon spectra I(ǫ) that they produce. They emphasize the use of non-square inversion techniques, and preconditioning combined with physical properties of the spectra to achieve the(More)
Hard X-ray spectra in solar flares provide knowledge of the electron spectrum that results from acceleration and propagation in the solar atmosphere. However, the inference of the electron spectra from solar X-ray spectra is an ill-posed inverse problem. Here we develop and apply an enhanced regularization algorithm for this process making use of physical(More)