Automated recognition of the pericardium contour on processed CT images using genetic algorithms
This work proposes the use of Genetic Algorithms (GA) in tracing and recognizing the pericardium contour of the human heart using Computed Tomography (CT) images. We assume that each slice of the pericardium can be modelled by an ellipse, the parameters of which need to be optimally determined. An optimal ellipse would be one that closely follows the pericardium contour and, consequently, separates appropriately the epicardial and mediastinal fats of the human heart. Tracing and automatically identifying the pericardium contour aids in medical diagnosis. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 16, 2017 Category: Bioinformatics Authors: É.O. Rodrigues, L.O. Rodrigues, L.S.N. Oliveira, A. Conci, P. Liatsis Source Type: research
Globally supported radial basis function based collocation method for evolution of level set in mass segmentation using mammograms
Computer-aided detection system plays an important role for the detection of breast abnormalities using mammograms. Global segmentation of mass in mammograms is a complex process due to low contrast mammogram images, irregular shape of mass, speculated margins, and the presence of intensity variations of pixels. This work presents a new approach for mass detection in mammograms, which is based on the variational level set function. Mesh-free based radial basis function (RBF) collocation approach is employed for the evolution of level set function for segmentation of breast as well as suspicious mass region. (Source: Comput...
Source: Computers in Biology and Medicine - May 15, 2017 Category: Bioinformatics Authors: Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna Source Type: research
A CBR framework with gradient boosting based feature selection for lung cancer subtype classification
Molecular subtype classification represents a challenging field in lung cancer diagnosis. Although different methods have been proposed for biomarker selection, efficient discrimination between adenocarcinoma and squamous cell carcinoma in clinical practice presents several difficulties, especially when the latter is poorly differentiated. This is an area of growing importance, since certain treatments and other medical decisions are based on molecular and histological features. An urgent need exists for a system and a set of biomarkers that provide an accurate diagnosis. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 13, 2017 Category: Bioinformatics Authors: Juan Ramos-Gonz ález, Daniel López-Sánchez, Jose A. Castellanos-Garzón, Juan F. de Paz, Juan M. Corchado Source Type: research
A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings
Clinical diagnosis of sleep disorders relies on the polysomnographic test to examine the neurophysiological markers of the sleep process. In this test, the recording of the electroencephalographic activity and the submental electromyogram is the source of the analysis for the detection of electroencephalographic arousals. The identification of these events is important for the evaluation of the sleep continuity because they cause the fragmentation of the normal sleep process. This work proposes a new technique for the automatic detection of arousals in polysomnographic recordings, presenting a non-computationally complex m...
Source: Computers in Biology and Medicine - May 13, 2017 Category: Bioinformatics Authors: Isaac Fern ández-Varela, Diego Alvarez-Estevez, Elena Hernández-Pereira, Vicente Moret-Bonillo Source Type: research
Bi-dimensional variational mode decomposition of laser speckle contrast imaging data: A clinical approach to critical limb ischemia?
The number of patients suffering from peripheral arterial occlusive disease (PAOD) is growing worldwide. PAOD corresponds to an impairment of perfusion in the distal portion of some arteries that can generate critical limb ischemia. For some patients, the pathology leads to the necessity of amputation. PAOD may be diagnosed and studied with transcutaneous oxygen (tcpO2) measurements. However, the tcpO2 technique is a contact technique: probes have to be positioned on the limb, which may be impossible in case of ulcers and can lead to infection risks. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 13, 2017 Category: Bioinformatics Authors: Anne Humeau-Heurtier, Pierre Abraham, Samir Henni Source Type: research
A mathematical and biological plausible model of decision-execution regulation in “Go/No-Go” tasks: Focusing on the fronto-striatal-thalamic pathway
Discovering factors influencing the speed and accuracy of responses in tasks such as “Go/No-Go” is one of issues which have been raised in neurocognitive studies. Mathematical models are considered as tools to identify and to study decision making procedure from different aspects. In this paper, a mathematical model has been presented to show several factors can alter the output of decision making procedure before execution in a “Go/No-Go” task.The dynamic of this model has two stable fixed points, each of them corresponds to the “Press” and “Not-press” responses. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 13, 2017 Category: Bioinformatics Authors: Golnaz Baghdadi, Farzad Towhidkhah, Reza Rostami Source Type: research
Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction
This article presents an analytical tool with visualization by exploiting the strengths of the MEG (magnetoencephalographic) neuroimaging technique. The tool automates MEG data import (in tSSS format), channel information extraction, time/frequency decomposition, and circular graph visualization (connectogram) for simple result inspection. For advanced users, the tool also provides magnitude squared coherence (MSC) values allowing personalized threshold levels, and the computation of default model from MEG data of control population. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 11, 2017 Category: Bioinformatics Authors: Waqas Rasheed, Neoh Yee Yik, Nor Hisham Bin Hamid, Faruque Reza, Tong Boon Tang Source Type: research
Influence of different frequencies of axial cyclic loading on time-domain vibration response of the lumbar spine: A finite element study
In this study, a three-dimensional non-linear finite element model of ligamentous L1 –S1 segment was developed to predict time-domain dynamic response of the whole lumbar spine to axial cyclic loading with different frequencies. A compressive follower preload of 400 N was applied to the model to simulate the physiologic compressive load. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 10, 2017 Category: Bioinformatics Authors: Wei Fan, Li-Xin Guo Source Type: research
Robotic assessment of neuromuscular characteristics using musculoskeletal models: A pilot study
Non-invasive neuromuscular characterization aims to provide greater insight into the effectiveness of existing and emerging rehabilitation therapies by quantifying neuromuscular characteristics relating to force production, muscle viscoelasticity and voluntary neural activation. In this paper, we propose a novel approach to evaluate neuromuscular characteristics, such as muscle fiber stiffness and viscosity, by combining robotic and HD-sEMG measurements with computational musculoskeletal modeling. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 10, 2017 Category: Bioinformatics Authors: V.R. Jayaneththi, J. Viloria, L.G. Wiedemann, C. Jarrett, A.J. McDaid Source Type: research
Honored papers 2016
Editorial (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 9, 2017 Category: Bioinformatics Authors: Edward J. Ciaccio Source Type: research
Permutation entropy analysis of heart rate variability for the assessment of cardiovascular autonomic neuropathy in type 1 diabetes mellitus
Heart rate variability (HRV) analysis is a relevant tool for the diagnosis of cardiovascular autonomic neuropathy (CAN). To our knowledge, no previous investigation on CAN has assessed the complexity of HRV from an ordinal perspective. Therefore, the aim of this work is to explore the potential of permutation entropy (PE) analysis of HRV complexity for the assessment of CAN. For this purpose, we performed a short-term PE analysis of HRV in healthy subjects and type 1 diabetes mellitus patients, including patients with CAN. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 8, 2017 Category: Bioinformatics Authors: Claudia Carricarte, Lazaro Sanchez-Rodriguez, Marta Brown, Mario Est évez, Andrés Machado Source Type: research
Biomechanical evaluation of implant-supported prosthesis with various tilting implant angles and bone types in atrophic maxilla: A finite element study
The purpose of this study is to evaluate and compare bone stress that occurs as a result of using vertical implants with simultaneous sinus augmentation with bone stress generated from oblique implants without sinus augmentation in atrophic maxilla. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 4, 2017 Category: Bioinformatics Authors: Zeynep G ümrükçü, Yavuz Tolga Korkmaz, Fatih Mehmet Korkmaz Source Type: research
Probabilistic pharmacokinetic models of decompression sickness in humans, part 1: Coupled perfusion-limited compartments
Decompression sickness (DCS) is a disease caused by gas bubbles forming in body tissues following a reduction in ambient pressure, such as occurs in scuba diving. Probabilistic models for quantifying the risk of DCS are typically composed of a collection of independent, perfusion-limited theoretical tissue compartments which describe gas content or bubble volume within these compartments. It has been previously shown that ‘pharmacokinetic’ gas content models, with compartments coupled in series, show promise as predictors of the incidence of DCS. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 4, 2017 Category: Bioinformatics Authors: F. Gregory Murphy, Ethan A. Hada, David J. Doolette, Laurens E. Howle Source Type: research
Stokes flow patterns induced by a single cardiac cell
Stokes flow motions induced by a beating single cardiac cell (cardiomyocyte) are obtained numerically using the method of fundamental solutions (MFS). A two-dimensional meshfree-Stokeslets computational framework is used to solve the Stokes governing equations around an isolated cardiomyocyte. An approximate beating kinematical model is derived and used to approximate the cell-length shortening over a complete cardiac cycle. The induced flow patterns have been found to be characterized by the presence of counter-rotating vortices at both cell's edges. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 4, 2017 Category: Bioinformatics Authors: Yasser Aboelkassem Source Type: research
A computer-supported management of photographic documentation in plastic surgery - System development and its clinical application
Photographic documentation is very important for plastic, reconstructive, and especially aesthetic surgery procedures. It can be used to improve patient care as well as to carry out scientific research. The results of our previous studies confirmed a strong demand for Information Technology (IT) systems dedicated to plastic surgery. Unfortunately, most of the solutions of this type are not suited to the actual needs. For this reason we decided to develop a reliable system for photographic documentation storage. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - May 3, 2017 Category: Bioinformatics Authors: Karol Korczak, Anna Kasielska-Trojan, Marian Nied źwiedziński, Bogusław Antoszewski Source Type: research
