Showing papers in "Computer Methods and Programs in Biomedicine in 2010"

TL;DR: The PKSolver provided pharmacokinetic researchers with a fast and easy-to-use tool for routine and basic PK and PD data analysis with a more user-friendly interface and its output could be generated in Microsoft Word in the form of an integrated report.

TL;DR: This paper presents a parallel-friendly formulation of the free-form deformation algorithm suitable for graphics processing unit execution and performs registration of T1-weighted MR images in less than 1 min and shows the same level of accuracy as a classical serial implementation when performing segmentation propagation.

TL;DR: A package in R, called mstate, for each of the steps of the analysis of multi-state models, which contains functions to facilitate data preparation and flexible estimation of different types of covariate effects in the context of Cox regression models.

TL;DR: This review is an attempt to discuss the most performing methodologies that have been developed so far to perform computer-based segmentation and intima-media thickness (IMT) measurement of the carotid arteries in ultrasound images.

TL;DR: Continuing research toward development of more sophisticated techniques for processing NL text, for utilizing semantic knowledge, and for incorporating logic and reasoning mechanisms will lead to more useful QA systems.

TL;DR: An efficient, integrated mesh-morphing-based segmentation approach was developed to create hex meshes of subject-specific geometries from scan data, to apply the approach to natural femoral, tibial, and patellar cartilage from magnetic resonance (MR) images, and to demonstrate the creation of a statistical shape model of the knee characterizing the modes of variation using principal component analysis.

TL;DR: Two automated methods for the segmentation of immunohistochemical tissue images that overcome the limitations of the manual approach as well as of the existing computerized techniques are presented.

TL;DR: An automatic algorithm capable of segmenting the whole vessel tree and calculate vessel diameter and orientation in a digital ophthalmologic image is presented in this work, and achieves subpixel root mean square central axis positioning error that outperforms the non-expert based vessel segmentation.

TL;DR: This paper explores Technosocial Predictive Analytics (TPA) and related methods for Web "data mining" where users' posts and queries are garnered from Social Web tools such as blogs, micro-blogging and social networking sites to form coherent representations of real-time health events.

TL;DR: The present study analyzed optimal SampEn parameter values within two different scenarios of AF organization estimation, such as the prediction of paroxysmal AF termination and the electrical cardioversion outcome in persistent AF.

TL;DR: This work proposes a totally automatic methodology based on successive detection refining stages for detection of lung nodules, ensuring good matching rates even in difficult detection situations.

TL;DR: This paper investigates the design of an efficient system for recognition of the premature ventricular contraction from the normal beats and other heart diseases and includes three main modules: denoising module, feature extraction module and classifier module.

TL;DR: An overview of technical, practical, legal, and ethical aspects of secondary data use are given and their implementation in the multi-institutional @neurIST research project is discussed.

TL;DR: A content-based image retrieval system designed to retrieve mammographies from large medical image database based on breast density, and integrated to the database of the Image Retrieval in Medical Applications (IRMA) project, that provides images with classification ground truth.

TL;DR: A novel method for pediatric heart sounds segmentation by paying special attention to the physiological effects of respiration on pediatric heartSounds by using a Multi-Layer Perceptron (MLP) neural network classifier.

TL;DR: This paper introduces a pure web-based, interactive, extendable, 2D and 3D medical image processing and visualization application that requires no client installation and uses the VRML standard to provide 3D features over the web.

TL;DR: KARDIA is distributed free of charge under the terms of GNU public license so that other users can modify the code and adjust the program's performance according to their own scientific requirements.

TL;DR: This work proposes a novel method named sort and count for efficient parallelization of mutual information (MI) computation designed for massively multi-processing architectures that achieves real-time (less than 1s) rigid registration of 3D medical images using a commodity graphics processing unit (GPU).

TL;DR: An extended version of PFIM 3.0, dedicated to both design evaluation and optimisation for multiple response models, using a similar method as for single response models is presented.

TL;DR: The use of highly parallel graphics processing units (GPUs) are demonstrated to accelerate the superposition/convolution (S/C) algorithm to interactive rates while reducing the number of approximations.

TL;DR: An algorithm for 3D reconstruction of CBCT data is implemented using the Compute Unified Device Architecture (CUDA) provided by NVIDIA, which was executed on a NVIDIA GeForce GTX 280, resulting in improved reconstruction times from minutes, and perhaps hours, to a matter of seconds, while also giving the clinician the ability to view 3D volumetric data at higher resolutions.

TL;DR: A new finite element model of a newborn head is proposed, simulating its main features, with material properties from the literature, and used to simulate paediatric skull fracture coming from real-world head trauma.

TL;DR: Videocapsule images can be quantified to detect villous atrophy throughout the small intestine, and to distinguish individuals with celiac disease from individuals lacking mucosal atrophy.

TL;DR: The Viola integral waveform method is applied to analyze the heart sounds recorded by an electric stethoscope, and the multi-scale moment analysis is proposed to locate each cycle of heart sounds.

TL;DR: This paper studies the generalization of SIRT into Ordered Subsets SIRT and shows that this allows one to optimize the computational performance of GPU-accelerated iterative algebraic reconstruction methods.

TL;DR: This paper illustrates how to back calculate conventional confidence intervals from a set of relative risks reported with floated confidence intervals or floated standard errors and provides an implementation of the formulas in a user-friendly program developed for Stata software.

TL;DR: Application of normalized matched filtering to fetal QRS complexes enhancement and a new approach to the final detection of the complexes allow a significant increase of the detection performance for signals of very different quality.

TL;DR: A dual sensor spectral subtraction algorithm is applied to the lung sound signals before the extraction of lung sound features and it is observed that the proposed algorithm is capable of providing adequate performance in terms of noise suppression and lung sound signal enhancement.

TL;DR: The test battery could detect treatment effect in the two pilot patients, both in self-assessments, tapping tests' results and spiral scores, and had good patient compliance and acceptable usability according to nine nurses.

TL;DR: A novel deformable model framework, Active Geometric Functions (AGF), is introduced to tackle the real-time segmentation problem and has mathematical advantages in efficiency and computational complexity as well as several flexible feature similar to level-set framework.