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Computers in Biology and Medicine

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https://www.readbyqxmd.com/read/28433870/automated-detection-of-premature-delivery-using-empirical-mode-and-wavelet-packet-decomposition-techniques-with-uterine-electromyogram-signals
#1
U Rajendra Acharya, Vidya K Sudarshan, Soon Qing Rong, Zechariah Tan, Choo Min Lim, Joel Ew Koh, Sujatha Nayak, Sulatha V Bhandary
An accurate detection of preterm labor and the risk of preterm delivery before 37 weeks of gestational age is crucial to increase the chance of survival rate for both mother and the infant. Thus, the uterine contractions measured using uterine electromyogram (EMG) or electro hysterogram (EHG) need to have high sensitivity in the detection of true preterm labor signs. However, visual observation and manual interpretation of EHG signals at the time of emergency situation may lead to errors. Therefore, the employment of computer-based approaches can assist in fast and accurate detection during the emergency situation...
April 18, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28433871/automatic-cumulative-sums-contour-detection-of-fbp-reconstructed-multi-object-nuclear-medicine-images
#2
Nicholas E Protonotarios, George M Spyrou, George A Kastis
The problem of determining the contours of objects in nuclear medicine images has been studied extensively in the past, however most of the analysis has focused on a single object as opposed to multiple objects. The aim of this work is to develop an automated method for determining the contour of multiple objects in positron emission tomography (PET) and single photon emission computed tomography (SPECT) filtered backprojection (FBP) reconstructed images. These contours can be used for computing body edges for attenuation correction in PET and SPECT, as well as for eliminating streak artifacts outside the objects, which could be useful in compressive sensing reconstruction...
April 14, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28431303/circular-shape-constrained-fuzzy-clustering-ciscfc-for-nucleus-segmentation-in-pap-smear-images
#3
Ratna Saha, Mariusz Bajger, Gobert Lee
Accurate detection and segmentation of cell nucleus is the precursor step towards computer aided analysis of Pap smear images. This is a challenging and complex task due to degree of overlap, inconsistent staining and poor contrast. In this paper, a novel nucleus segmentation method is proposed by incorporating a circular shape function in fuzzy clustering. The proposed method was evaluated quantitatively and qualitatively using the Overlapping Cervical Cytology Image Segmentation Challenge - ISBI 2014 challenge dataset comprised of 945 overlapping Pap smear images...
April 14, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28432935/accelerometry-based-assessment-and-detection-of-early-signs-of-balance-deficits
#4
Heidi Similä, Milla Immonen, Miikka Ermes
Falls are the cause for more than half of the injury-related hospitalizations among older people. Accurate assessment of individuals' fall risk could enable targeted interventions to reduce the risk. This paper presents a novel method for using wearable accelerometers to detect early signs of deficits in balance from gait. Gait acceleration data were analyzed from 35 healthy female participants (73.86±5.40 years). The data were collected with waist-mounted accelerometer and the participants performed three supervised balance tests: Berg Balance Scale (BBS), Timed-Up-and-Go (TUG) and 4m walk...
April 13, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28432934/j-s-athertya-g-saravana-kumar-automatic-segmentation-of-vertebral-contours-from-ct-images-using-fuzzy-corners-comput-biol-med-72-may-1-2016-75-89-https-www-ncbi-nlm-nih-gov-pubmed-27017068
#5
LETTER
https://www.readbyqxmd.com/read/28412573/patient-characteristics-associated-with-differences-in-radiation-exposure-from-pediatric-abdomen-pelvis-ct-scans-a-quantile-regression-analysis
#6
Jennifer N Cooper, Daniel L Lodwick, Brent Adler, Choonsik Lee, Peter C Minneci, Katherine J Deans
BACKGROUND: Computed tomography (CT) is a widely used diagnostic tool in pediatric medicine. However, due to concerns regarding radiation exposure, it is essential to identify patient characteristics associated with higher radiation burden from CT imaging, in order to more effectively target efforts towards dose reduction. Our objective was to identify the effects of various demographic and clinical patient characteristics on radiation exposure from single abdomen/pelvis CT scans in children...
April 12, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28441634/spatial-enhancement-of-ecg-using-diagnostic-similarity-score-based-lead-selective-multi-scale-linear-model
#7
Jiss J Nallikuzhy, S Dandapat
In this work, a new patient-specific approach to enhance the spatial resolution of ECG is proposed and evaluated. The proposed model transforms a three-lead ECG into a standard twelve-lead ECG thereby enhancing its spatial resolution. The three leads used for prediction are obtained from the standard twelve-lead ECG. The proposed model takes advantage of the improved inter-lead correlation in wavelet domain. Since the model is patient-specific, it also selects the optimal predictor leads for a given patient using a lead selection algorithm...
April 11, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28412572/quantitative-analysis-of-patients-with-celiac-disease-by-video-capsule-endoscopy-a-deep-learning-method
#8
Teng Zhou, Guoqiang Han, Bing Nan Li, Zhizhe Lin, Edward J Ciaccio, Peter H Green, Jing Qin
BACKGROUND: Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an alternative way to visualize the entire small intestine without invasiveness to the patient. It is useful to characterize celiac disease, but hours are need to manually analyze the retrospective data of a single patient. Computer-aided quantitative analysis by a deep learning method helps in alleviating the workload during analysis of the retrospective videos. METHOD: Capsule endoscopy clips from 6 celiac disease patients and 5 controls were preprocessed for training...
April 8, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28412668/electroporation-of-tissue-and-cells-a-three-equation-model-of-drug-delivery
#9
Finbar Argus, Bradley Boyd, S M Becker
The exposure of the cell membrane to electric pulses of sufficient intensity is known to result in an increased permeability due to the formation of microscopic pores. This is electroporation, and it has been implemented to increase the efficacy of targeted drug delivery. In this study we introduce a novel three-equation model of transport that is able to distinguish the drug uptake in reversibly electroporated cells from that in irreversibly electroporated cells. In order to relate the permeability increases and the cell survival to the local electric field, sigmoidal functions are fit to published experimental data...
April 7, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28390288/automatic-classification-of-human-sperm-head-morphology
#10
Violeta Chang, Laurent Heutte, Caroline Petitjean, Steffen Härtel, Nancy Hitschfeld
BACKGROUND AND OBJECTIVE: Infertility is a problem that affects up to 15% of couples worldwide with emotional and physiological implications and semen analysis is the first step in the evaluation of an infertile couple. Indeed the morphology of human sperm cells is considered to be a clinical tool dedicated to the fertility prognosis and serves, mainly, for making decisions regarding the options of assisted reproduction technologies. Therefore, a complete analysis of not only normal sperm but also abnormal sperm turns out to be critical in this context...
April 2, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28390287/influence-of-the-fixation-region-of-a-press-fit-hip-endoprosthesis-on-the-stress-strain-state-of-the-bone-implant-system
#11
Ievgen Levadnyi, Jan Awrejcewicz, Márcio Fagundes Goethel, Alexander Loskutov
Although significant progress has been made in the development of total hip replacement, behaviour of the femoral component of an endoprosthesis in relation to the type of its fixation in the bone is still not fully understood. In this paper, behaviour of the femoral bone and the stem prosthesis is studied taking into account different types of prosthesis fixation in the medullary canal of the femur under the action of functional loads. For an analysis, a three-dimensional model of a femur has been developed based on the results of a computed tomography...
April 2, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28390286/ij-opencv-combining-imagej-and-opencv-for-processing-images-in-biomedicine
#12
César Domínguez, Jónathan Heras, Vico Pascual
BACKGROUND AND OBJECTIVE: The effective processing of biomedical images usually requires the interoperability of diverse software tools that have different aims but are complementary. The goal of this work is to develop a bridge to connect two of those tools: ImageJ, a program for image analysis in life sciences, and OpenCV, a computer vision and machine learning library. METHODS: Based on a thorough analysis of ImageJ and OpenCV, we detected the features of these systems that could be enhanced, and developed a library to combine both tools, taking advantage of the strengths of each system...
April 1, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28390285/a-genetic-algorithm-based-model-for-longitudinal-changes-detection-in-white-matter-fiber-bundles-of-patient-with-multiple-sclerosis
#13
Claudio Stamile, Gabriel Kocevar, François Cotton, Dominique Sappey-Marinier
Analysis of white matter (WM) tissue is essential to understand the mechanisms of neurodegenerative pathologies like multiple sclerosis (MS). Recently longitudinal studies started to show how the temporal component is important to investigate temporal diffuse effects of neurodegenerative pathologies. Diffusion tensor imaging (DTI) constitutes one of the most sensitive techniques for the detection and characterization of brain related pathological processes and allows also the reconstruction of WM fibers. The analysis of spatial and temporal pathological changes along the fibers are thus possible by merging quantitative maps with structural information provided by DTI...
March 31, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28391064/heartbeat-monitoring-from-adaptively-down-sampled-electrocardiogram
#14
Luca Mesin
BACKGROUND AND OBJECTIVE: Heartbeats Holter monitoring is important for the detection of arrhythmias and possible anomalies, which are predictive of cardiovascular risks and infections. Reducing the number of acquired samples is useful to save energy and memory, but a proper down-sampling schedule is needed to record all useful information. Method An adaptive algorithm for the non-uniform down-sampling of data is used to reduce the mean sampling frequency of ECG data. The acquired data are processed to extract RR rhythm and to classify the heartbeats among a set of possible types of arrhythmias...
March 30, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28390284/well-balanced-system-for-coronary-calcium-detection-and-volume-measurement-in-a-low-resolution-intravascular-ultrasound-videos
#15
Sumit K Banchhor, Narendra D Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R Laird, Jasjit S Suri
BACKGROUND: Accurate and fast quantitative assessment of calcium volume is required during the planning of percutaneous coronary interventions procedures. Low resolution in intravascular ultrasound (IVUS) coronary videos poses a threat to calcium detection causing over-estimation in volume measurement. We introduce a correction block that counter-balances the bias introduced during the calcium detection process. METHOD: Nineteen patients image dataset (around 40,090 frames), IRB approved, were collected using 40MHz IVUS catheter (Atlantis® SR Pro, Boston Scientific®, pullback speed of 0...
March 30, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28364643/a-multi-resolution-approach-for-spinal-metastasis-detection-using-deep-siamese-neural-networks
#16
Juan Wang, Zhiyuan Fang, Ning Lang, Huishu Yuan, Min-Ying Su, Pierre Baldi
Spinal metastasis, a metastatic cancer of the spine, is the most common malignant disease in the spine. In this study, we investigate the feasibility of automated spinal metastasis detection in magnetic resonance imaging (MRI) by using deep learning methods. To accommodate the large variability in metastatic lesion sizes, we develop a Siamese deep neural network approach comprising three identical subnetworks for multi-resolution analysis and detection of spinal metastasis. At each location of interest, three image patches at three different resolutions are extracted and used as the input to the networks...
March 27, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28372789/automatic-media-adventitia-ivus-image-segmentation-based-on-sparse-representation-framework-and-dynamic-directional-active-contour-model
#17
Fahimeh Sadat Zakeri, Seyed Kamaledin Setarehdan, Somayye Norouzi
Segmentation of the arterial wall boundaries from intravascular ultrasound images is an important image processing task in order to quantify arterial wall characteristics such as shape, area, thickness and eccentricity. Since manual segmentation of these boundaries is a laborious and time consuming procedure, many researchers attempted to develop (semi-) automatic segmentation techniques as a powerful tool for educational and clinical purposes in the past but as yet there is no any clinically approved method in the market...
March 25, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28364644/effects-of-cellular-electromechanical-coupling-on-functional-heterogeneity-in-a-one-dimensional-tissue-model-of-the-myocardium
#18
Anastasia Khokhlova, Nathalie Balakina-Vikulova, Leonid Katsnelson, Olga Solovyova
Based on the experimental evidence, we developed a one-dimensional (1D) model of heterogeneous myocardial tissue consisting of in-series connected cardiomyocytes from distant transmural regions using mathematical models of subendocardial and subepicardial cells. The regional deformation patterns produced by our 1D model are consistent with the transmural regional strain patterns obtained experimentally in the normal heart in vivo. The modelling results suggest that the mechanical load may essentially affect the transmural gradients in the electrical and mechanical properties of interacting myocytes within a tissue, thereby regulating global myocardial output...
March 23, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28363113/the-attractor-recurrent-neural-network-based-on-fuzzy-functions-an-effective-model-for-the-classification-of-lung-abnormalities
#19
Mohammad Bagher Khodabakhshi, Mohammad Hassan Moradi
The respiratory system dynamic is of high significance when it comes to the detection of lung abnormalities, which highlights the importance of presenting a reliable model for it. In this paper, we introduce a novel dynamic modelling method for the characterization of the lung sounds (LS), based on the attractor recurrent neural network (ARNN). The ARNN structure allows the development of an effective LS model. Additionally, it has the capability to reproduce the distinctive features of the lung sounds using its formed attractors...
March 23, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28351715/estimating-bradykinesia-severity-in-parkinson-s-disease-by-analysing-gait-through-a-waist-worn-sensor
#20
A Samà, C Pérez-López, D Rodríguez-Martín, A Català, J M Moreno-Aróstegui, J Cabestany, E de Mingo, A Rodríguez-Molinero
Bradykinesia is a cardinal symptom of Parkinson's disease (PD) and describes the slowness of movement revealed in patients. Current PD therapies are based on dopamine replacement, and given that bradykinesia is the symptom that best correlates with the dopaminergic deficiency, the knowledge of its fluctuations may be useful in the diagnosis, treatment and better understanding of the disease progression. This paper evaluates a machine learning method that analyses the signals provided by a triaxial accelerometer placed on the waist of PD patients in order to automatically assess bradykinetic gait unobtrusively...
March 23, 2017: Computers in Biology and Medicine
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