Profile Detection in Medical and Astronomical Images by Means of the Hough Transform of Special Classes of Curves

Massone, Anna Maria; Perasso, Annalisa; Campi, Cristina; Beltrametti, Mauro C.

doi:10.1007/s10851-014-0521-4

Cited by 26 publications

(50 citation statements)

References 23 publications

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“…In agreement with our previous experience [18, 19], visual inspection by an experienced nuclear medicine physician always confirmed the reliability of the segmentation algorithm.…”

Section: Methodssupporting

confidence: 91%

A PET/CT approach to spinal cord metabolism in amyotrophic lateral sclerosis

Marini

Cistaro²,

Campi

et al. 2016

Eur J Nucl Med Mol Imaging

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PurposeIn amyotrophic lateral sclerosis, functional alterations within the brain have been intensively assessed, while progression of lower motor neuron damage has scarcely been defined. The aim of the present study was to develop a computational method to systematically evaluate spinal cord metabolism as a tool to monitor disease mechanisms.MethodsA new computational three-dimensional method to extract the spinal cord from 18F-FDG PET/CT images was evaluated in 30 patients with spinal onset amyotrophic lateral sclerosis and 30 controls. The algorithm identified the skeleton on the CT images by using an extension of the Hough transform and then extracted the spinal canal and the spinal cord. In these regions, 18F-FDG standardized uptake values were measured to estimate the metabolic activity of the spinal canal and cord. Measurements were performed in the cervical and dorsal spine and normalized to the corresponding value in the liver.ResultsUptake of 18F-FDG in the spinal cord was significantly higher in patients than in controls (p < 0.05). By contrast, no significant differences were observed in spinal cord and spinal canal volumes between the two groups. 18F-FDG uptake was completely independent of age, gender, degree of functional impairment, disease duration and riluzole treatment. Kaplan-Meier analysis showed a higher mortality rate in patients with standardized uptake values above the fifth decile at the 3-year follow-up evaluation (log-rank test, p < 0.01). The independence of this value was confirmed by multivariate Cox analysis.ConclusionOur computational three-dimensional method enabled the evaluation of spinal cord metabolism and volume and might represent a potential new window onto the pathophysiology of amyotrophic lateral sclerosis.

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“…In agreement with our previous experience [18, 19], visual inspection by an experienced nuclear medicine physician always confirmed the reliability of the segmentation algorithm.…”

Section: Methodssupporting

confidence: 91%

A PET/CT approach to spinal cord metabolism in amyotrophic lateral sclerosis

Marini

Cistaro²,

Campi

et al. 2016

Eur J Nucl Med Mol Imaging

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“…Finally, we look for the cell corresponding to the maximum of the accumulator function: the parameter set associated to that cell provides the curve of the family which best approximates the profile of interest in the image. 4,5,7 Several curves and their properties have been presented in Refs. 4, 5, and 13: the Lamet curve, the curve with three convexities, and the conchoid of Slüse have been used to approximate the sternum, the spinal canal and the vertebra profiles, respectively (see Refs.…”

Section: Hough Transform For Algebraic Curvesmentioning

confidence: 99%

“…4, 5, and 13: the Lamet curve, the curve with three convexities, and the conchoid of Slüse have been used to approximate the sternum, the spinal canal and the vertebra profiles, respectively (see Refs. 4,5). To approximate axial sections of long bones, like the humerus and the femurs, the best curve seems to be the ellipse (see Ref.…”

Section: Hough Transform For Algebraic Curvesmentioning

confidence: 99%

HT-BONE: a graphical user interface for the identification of bone profiles in CT images via extended Hough transform

et al. 2016

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It has been recently proved that the computational analysis of X-ray Computed Tomography (CT) images allows clinicians to assess the alteration of compact bone asset due to hematological diseases. HT-BONE implements a new method, based on an extension of the Hough transform (HT) to a wide class of algebraic curves, for accurately measuring global and regional geometric properties of trabecular and compact bone districts. In the case of CT/PET analysis, the segmentation of the CT images provides masks for Positron Emission Tomography (PET) data, extracting the metabolic activity in the region surrounded by compact bone tissue. HT-BONE offers an intuitive, user-friendly, Matlab-based Graphical User Interface (GUI) for all input/output procedures and the automatic managing of the segmentation process also from non-expert users: the CT/PET data can be loaded and browsed easily and the only pre-preprocessing required from the user is the drawing of Regions Of Interest (ROIs) around the bone districts under consideration. For each bone district, specific families of curves, whose reliability has been already tested in previous works, is automatically selected for the recognition task via HT. As output, the software returns masks of the segmented compact bone regions, images of the Standard Uptake Values (SUV) in the masked regions of PET slices, and the values of the parameters in the curve equations utilized in the HT procedure. This information can be used for all pathologies and clinical conditions for which the alteration of the compact bone asset or bone marrow distribution plays a crucial role.

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“…Here, the aim is to reduce the amount of the dataset to be taken into account. Furthermore, the power of this procedure is then tested on 2-dimensional astronomical and medical real images in [12].…”

Section: Introductionmentioning

confidence: 99%

Geometry of the Hough Transforms with Applications to Synthetic Data

et al. 2020

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In the framework of the Hough transform technique to detect curves in images, we provide a bound for the number of Hough transforms to be considered for a successful optimization of the accumulator function in the recognition algorithm. Such a bound is consequence of geometrical arguments. We also show the robustness of the results when applied to synthetic datasets strongly perturbed by noise. An algebraic approach, discussed in the appendix, leads to a better bound of theoretical interest in the exact case.

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Profile Detection in Medical and Astronomical Images by Means of the Hough Transform of Special Classes of Curves

Cited by 26 publications

References 23 publications

A PET/CT approach to spinal cord metabolism in amyotrophic lateral sclerosis

A PET/CT approach to spinal cord metabolism in amyotrophic lateral sclerosis

HT-BONE: a graphical user interface for the identification of bone profiles in CT images via extended Hough transform

Geometry of the Hough Transforms with Applications to Synthetic Data

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