AMIA Annu Symp Proc - Applying Distance Histogram to retrieve 3D cardiac medical models.

Tópicos

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Resumo

Three-dimensional models are being extensively used in the medical area in order to improve clinical medical examinations and diagnosis. The Cardiology field handles with several types of image slices to compose the diagnosis. MRI (Magnetic Resonance Imaging) is a non-invasive technique to detect anomalies from internal images of the human body that generates hundreds of images, which takes long for the specialist to analyze frame by frame and the diagnosis precision can be affected. Many cardiac diseases could be identified through shape deformation, but systems aimed to aid diagnosis usually identify shapes in two-dimensional (2D) images. Our aim is to apply a shape descriptor to retrieve three-dimensional cardiac models, obtained from a set of 2D slices, which were segmented and reconstructed from MRI images using their geometry information. Preliminary results show that the shape deformation in 3D models can be a good indicator to detect Congestive Heart Failure, a very common heart disease.

Resumo Limpo

threedimension model extens use medic area order improv clinic medic examin diagnosi cardiolog field handl sever type imag slice compos diagnosi mri magnet reson imag noninvas techniqu detect anomali intern imag human bodi generat hundr imag take long specialist analyz frame frame diagnosi precis can affect mani cardiac diseas identifi shape deform system aim aid diagnosi usual identifi shape twodimension d imag aim appli shape descriptor retriev threedimension cardiac model obtain set d slice segment reconstruct mri imag use geometri inform preliminari result show shape deform d model can good indic detect congest heart failur common heart diseas

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