46,781 research outputs found
Image database system for glaucoma diagnosis support
Tato prĂĄce popisuje pĆehled standardnĂch a pokroÄilĂœch metod pouĆŸĂvanĂœch k diagnose glaukomu v rannĂ©m stĂĄdiu. Na zĂĄkladÄ teoretickĂœch poznatkĆŻ je implementovĂĄn internetovÄ orientovanĂœ informaÄnĂ systĂ©m pro oÄnĂ lĂ©kaĆe, kterĂœ mĂĄ tĆi hlavnĂ cĂle. PrvnĂm cĂlem je moĆŸnost sdĂlenĂ osobnĂch dat konkrĂ©tnĂho pacienta bez nutnosti posĂlat tato data internetem. DruhĂœm cĂlem je vytvoĆit ĂșÄet pacienta zaloĆŸenĂœ na kompletnĂm oÄnĂm vyĆĄetĆenĂ. PoslednĂm cĂlem je aplikovat algoritmus pro registraci intenzitnĂho a barevnĂ©ho fundus obrazu a na jeho zĂĄkladÄ vytvoĆit internetovÄ orientovanou tĆi-dimenzionĂĄlnĂ vizualizaci optickĂ©ho disku. Tato prĂĄce je souÄĂĄsti DAAD spoluprĂĄce mezi Ăstavem BiomedicĂnskĂ©ho InĆŸenĂœrstvĂ, VysokĂ©ho UÄenĂ TechnickĂ©ho v BrnÄ, OÄnĂ klinikou v Erlangenu a Ăstavem InformaÄnĂch TechnologiĂ, Friedrich-Alexander University, Erlangen-Nurnberg.This master thesis describes a conception of standard and advanced eye examination methods used for glaucoma diagnosis in its early stage. According to the theoretical knowledge, a web based information system for ophthalmologists with three main aims is implemented. The first aim is the possibility to share medical data of a concrete patient without sending his personal data through the Internet. The second aim is to create a patient account based on a complete eye examination procedure. The last aim is to improve the HRT diagnostic method with an image registration algorithm for the fundus and intensity images and create an optic nerve head web based 3D visualization. This master thesis is a part of project based on DAAD co-operation between Department of Biomedical Engineering, Brno University of Technology, Eye Clinic in Erlangen and Department of Computer Science, Friedrich-Alexander University, Erlangen-Nurnberg.
Image processing for the extraction of nutritional information from food labels
Current techniques for tracking nutritional data require undesirable amounts of either time or man-power. People must choose between tediously recording and updating dietary information or depending on unreliable crowd-sourced or costly maintained databases. Our project looks to overcome these pitfalls by providing a programming interface for image analysis that will read and report the information present on a nutrition label directly. Our solution involves a C++ library that combines image pre-processing, optical character recognition, and post-processing techniques to pull the relevant information from an image of a nutrition label. We apply an understanding of a nutrition label\u27s content and data organization to approach the accuracy of traditional data-entry methods. Our system currently provides around 80% accuracy for most label images, and we will continue to work to improve our accuracy
Computational medical imaging for total knee arthroplasty using visualitzation toolkit
This project is presented as a Master Thesis in the field of Civil Engineering, Biomedical specialization. As the
project of an Erasmus exchange student, this thesis has been under supervision both the Universite Livre de
Bruxelles and the Universitat Politecnica de Catalunya. The purpose of this thesis to put in practice all the
knowledges acquired during this Master in Industrial Engineering in UPC and to be a support for medical staff
in total knee arthoplasty procedures.
Prof. Emmanuel Thienpont has been working for years as orthopaedic surgeon at the Hospital Sant Luc,
Brussels. His years of work and research have been mainly focused on Total Knee Arthroplasty or TKA. During
one of the most important steps of this procedure, the orthopaedic surgeon has to cut the head of the femur
following two perpendicular cutting planes. Nevertheless, the orientation of these planes are directly dependant
of the femur constitution.
This Master Thesis has been conceived in order to offer the surgeon a tool to determine the proper direction
planes in a previous step before the surgical procedure. This project pretends to give the surgeon an openfree
computational platform to access to patient geometrical and physiological information before involving the
subject in any invasive procedure
Active skeleton for bacteria modeling
The investigation of spatio-temporal dynamics of bacterial cells and their
molecular components requires automated image analysis tools to track cell
shape properties and molecular component locations inside the cells. In the
study of bacteria aging, the molecular components of interest are protein
aggregates accumulated near bacteria boundaries. This particular location makes
very ambiguous the correspondence between aggregates and cells, since computing
accurately bacteria boundaries in phase-contrast time-lapse imaging is a
challenging task. This paper proposes an active skeleton formulation for
bacteria modeling which provides several advantages: an easy computation of
shape properties (perimeter, length, thickness, orientation), an improved
boundary accuracy in noisy images, and a natural bacteria-centered coordinate
system that permits the intrinsic location of molecular components inside the
cell. Starting from an initial skeleton estimate, the medial axis of the
bacterium is obtained by minimizing an energy function which incorporates
bacteria shape constraints. Experimental results on biological images and
comparative evaluation of the performances validate the proposed approach for
modeling cigar-shaped bacteria like Escherichia coli. The Image-J plugin of the
proposed method can be found online at http://fluobactracker.inrialpes.fr.Comment: Published in Computer Methods in Biomechanics and Biomedical
Engineering: Imaging and Visualizationto appear i
Make Art Real
The Make Art Real project aims to introduce new audiences to the arts. It supports Theme II of VCUâs Quest for Distinction by promoting and fostering creative expression through innovative collaborations. The project involves displaying existing connections between art and non-art disciplines, as well as making new connections. These unusual pairings are then placed on exhibition through a lunch-time lecture series named âUnexpected_Connections,â which allow faculty, staff, and students to lead and participate in discussions about the reality of art. The lecture series is the first sustainable and reoccurring program to be held in the Depot building, a multidisciplinary facility which is intended to foster interdisciplinary collaborations. The targeted audience includes faculty, staff, students, and members of the greater VCU community
Towards multiple 3D bone surface identification and reconstruction using few 2D X-ray images for intraoperative applications
This article discusses a possible method to use a small number, e.g. 5, of conventional 2D X-ray images to reconstruct multiple 3D bone surfaces intraoperatively. Each boneâs edge contours in X-ray images are automatically identified. Sparse 3D landmark points of each bone are automatically reconstructed by pairing the 2D X-ray images. The reconstructed landmark point distribution on a surface is approximately optimal covering main characteristics of the surface. A statistical shape model, dense point distribution model (DPDM), is then used to fit the reconstructed optimal landmarks vertices to reconstruct a full surface of each bone separately. The reconstructed surfaces can then be visualised and manipulated by surgeons or used by surgical robotic systems
Intima-Media Thickness: Setting a Standard for a Completely Automated Method of Ultrasound Measurement
The intima - media thickness (IMT) of the common carotid artery is a widely used clinical marker of severe cardiovascular diseases. IMT is usually manually measured on longitudinal B-Mode ultrasound images. Many computer-based techniques for IMT measurement have been proposed to overcome the limits of manual segmentation. Most of these, however, require a certain degree of user interaction. In this paper we describe a new completely automated layers extraction (CALEXia) technique for the segmentation and IMT measurement of carotid wall in ultrasound images. CALEXia is based on an integrated approach consisting of feature extraction, line fitting, and classification that enables the automated tracing of the carotid adventitial walls. IMT is then measured by relying on a fuzzy K-means classifier. We tested CALEXia on a database of 200 images. We compared CALEXia performances to those of a previously developed methodology that was based on signal analysis (CULEXsa). Three trained operators manually segmented the images and the average profiles were considered as the ground truth. The average error from CALEXia for lumen - intima (LI) and media - adventitia (MA) interface tracings were 1.46 ± 1.51 pixel (0.091 ± 0.093 mm) and 0.40 ± 0.87 pixel (0.025 ± 0.055 mm), respectively. The corresponding errors for CULEXsa were 0.55 ± 0.51 pixels (0.035 ± 0.032 mm) and 0.59 ± 0.46 pixels (0.037 ± 0.029 mm). The IMT measurement error was equal to 0.87 ± 0.56 pixel (0.054 ± 0.035 mm) for CALEXia and 0.12 ± 0.14 pixel (0.01 ± 0.01 mm) for CULEXsa. Thus, CALEXia showed limited performance in segmenting the LI interface, but outperformed CULEXsa in the MA interface and in the number of images correctly processed (10 for CALEXia and 16 for CULEXsa). Based on two complementary strategies, we anticipate fusing them for further IMT improvement
WebChem Viewer: a tool for the easy dissemination of chemical and structural data sets.
BackgroundSharing sets of chemical data (e.g., chemical properties, docking scores, etc.) among collaborators with diverse skill sets is a common task in computer-aided drug design and medicinal chemistry. The ability to associate this data with images of the relevant molecular structures greatly facilitates scientific communication. There is a need for a simple, free, open-source program that can automatically export aggregated reports of entire chemical data sets to files viewable on any computer, regardless of the operating system and without requiring the installation of additional software.ResultsWe here present a program called WebChem Viewer that automatically generates these types of highly portable reports. Furthermore, in designing WebChem Viewer we have also created a useful online web application for remotely generating molecular structures from SMILES strings. We encourage the direct use of this online application as well as its incorporation into other software packages.ConclusionsWith these features, WebChem Viewer enables interdisciplinary collaborations that require the sharing and visualization of small molecule structures and associated sets of heterogeneous chemical data. The program is released under the FreeBSD license and can be downloaded from http://nbcr.ucsd.edu/WebChemViewer. The associated web application (called "Smiley2png 1.0") can be accessed through freely available web services provided by the National Biomedical Computation Resource at http://nbcr.ucsd.edu
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