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Computer Methods and Programs in Biomedicine

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https://www.readbyqxmd.com/read/28153466/practical-identifiability-analysis-of-a-minimal-cardiovascular-system-model
#1
Antoine Pironet, Paul D Docherty, Pierre C Dauby, J Geoffrey Chase, Thomas Desaive
BACKGROUND AND OBJECTIVE: Parameters of mathematical models of the cardiovascular system can be used to monitor cardiovascular state, such as total stressed blood volume status, vessel elastance and resistance. To do so, the model parameters have to be estimated from data collected at the patient's bedside. This work considers a seven-parameter model of the cardiovascular system and investigates whether these parameters can be uniquely determined using indices derived from measurements of arterial and venous pressures, and stroke volume...
January 17, 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187898/vessel-segmentation-and-microaneurysm-detection-using-discriminative-dictionary-learning-and-sparse-representation
#2
Malihe Javidi, Hamid-Reza Pourreza, Ahad Harati
Diabetic retinopathy (DR) is a major cause of visual impairment, and the analysis of retinal image can assist patients to take action earlier when it is more likely to be effective. The accurate segmentation of blood vessels in the retinal image can diagnose DR directly. In this paper, a novel scheme for blood vessel segmentation based on discriminative dictionary learning (DDL) and sparse representation has been proposed. The proposed system yields a strong representation which contains the semantic concept of the image...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187897/the-application-of-a-decision-tree-to-establish-the-parameters-associated-with-hypertension
#3
Maryam Tayefi, Habibollah Esmaeili, Maryam Saberi Karimian, Alireza Amirabadi Zadeh, Mahmoud Ebrahimi, Mohammad Safarian, Mohsen Nematy, Seyed Mohammad Reza Parizadeh, Gordon A Ferns, Majid Ghayour-Mobarhan
INTRODUCTION: Hypertension is an important risk factor for cardiovascular disease (CVD). The goal of this study was to establish the factors associated with hypertension by using a decision-tree algorithm as a supervised classification method of data mining. METHODS: Data from a cross-sectional study were used in this study. A total of 9078 subjects who met the inclusion criteria were recruited. 70% of these subjects (6358 cases) were randomly allocated to the training dataset for the constructing of the decision-tree...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187896/hydra-a-web-based-system-for-cardiovascular-analysis-diagnosis-and-treatment
#4
J Novo, A Hermida, M Ortega, N Barreira, M G Penedo, J E López, C Calvo
BACKGROUND AND OBJECTIVE: Cardiovascular (CV) risk stratification is a highly complex process involving an extensive set of clinical trials to support the clinical decision-making process. There are many clinical conditions (e.g. diabetes, obesity, stress, etc.) that can lead to the early diagnosis or establishment of cardiovascular disease. In order to determine all these clinical conditions, a complete set of clinical patient analyses is typically performed, including a physical examination, blood analysis, electrocardiogram, blood pressure (BP) analysis, etc...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187895/parallel-definition-of-tear-film-maps-on-distributed-memory-clusters-for-the-support-of-dry-eye-diagnosis
#5
Jorge González-Domínguez, Beatriz Remeseiro, María J Martín
BACKGROUND AND OBJECTIVES: The analysis of the interference patterns on the tear film lipid layer is a useful clinical test to diagnose dry eye syndrome. This task can be automated with a high degree of accuracy by means of the use of tear film maps. However, the time required by the existing applications to generate them prevents a wider acceptance of this method by medical experts. Multithreading has been previously successfully employed by the authors to accelerate the tear film map definition on multicore single-node machines...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187894/improving-recovery-of-ecg-signal-with-deterministic-guarantees-using-split-signal-for-multiple-supports-of-matching-pursuit-ss-msmp-algorithm
#6
Israa Shaker Tawfic, Sema Koc Kayhan
Compressed sensing (CS) is a new field used for signal acquisition and design of sensor that made a large drooping in the cost of acquiring sparse signals. In this paper, new algorithms are developed to improve the performance of the greedy algorithms. In this paper, a new greedy pursuit algorithm, SS-MSMP (Split Signal for Multiple Support of Matching Pursuit), is introduced and theoretical analyses are given. The SS-MSMP is suggested for sparse data acquisition, in order to reconstruct analog and efficient signals via a small set of general measurements...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187893/computer-aided-grading-of-gliomas-based-on-local-and-global-mri-features
#7
Kevin Li-Chun Hsieh, Chung-Ming Lo, Chih-Jou Hsiao
BACKGROUND AND OBJECTIVES: A computer-aided diagnosis (CAD) system based on quantitative magnetic resonance imaging (MRI) features was developed to evaluate the malignancy of diffuse gliomas, which are central nervous system tumors. METHODS: The acquired image database for the CAD performance evaluation was composed of 34 glioblastomas and 73 diffuse lower-grade gliomas. In each case, tissues enclosed in a delineated tumor area were analyzed according to their gray-scale intensities on MRI scans...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187892/interactive-radiographic-image-retrieval-system
#8
Malay Kumar Kundu, Manish Chowdhury, Sudeb Das
BACKGROUND AND OBJECTIVE: Content based medical image retrieval (CBMIR) systems enable fast diagnosis through quantitative assessment of the visual information and is an active research topic over the past few decades. Most of the state-of-the-art CBMIR systems suffer from various problems: computationally expensive due to the usage of high dimensional feature vectors and complex classifier/clustering schemes. Inability to properly handle the "semantic gap" and the high intra-class versus inter-class variability problem of the medical image database (like radiographic image database)...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187891/automated-classification-of-maxillofacial-cysts-in-cone-beam-ct-images-using-contourlet-transformation-and-spherical-harmonics
#9
Fatemeh Abdolali, Reza Aghaeizadeh Zoroofi, Yoshito Otake, Yoshinobu Sato
BACKGROUND AND OBJECTIVE: Accurate detection of maxillofacial cysts is an essential step for diagnosis, monitoring and planning therapeutic intervention. Cysts can be of various sizes and shapes and existing detection methods lead to poor results. Customizing automatic detection systems to gain sufficient accuracy in clinical practice is highly challenging. For this purpose, integrating the engineering knowledge in efficient feature extraction is essential. METHODS: This paper presents a novel framework for maxillofacial cysts detection...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187890/evaluation-of-a-smartphone-based-assessment-system-in-subjects-with-chronic-ankle-instability
#10
Ya-Lan Chiu, Yi-Ju Tsai, Chueh-Ho Lin, You-Ruei Hou, Wen-Hsu Sung
BACKGROUND: Ankle sprain is the most common sports-related injury, and approximately 80% of patients studied suffered recurrent sprains. These repeated ankle injuries could cause chronic ankle instability, a decrease in sports performance, and a decrease in postural control ability. At the present time, smartphones have become very popular and powerful devices, and smartphone applications (apps) that have been shown to have good validity have been designed to measure human body motion...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187889/gift-cloud-a-data-sharing-and-collaboration-platform-for-medical-imaging-research
#11
Tom Doel, Dzhoshkun I Shakir, Rosalind Pratt, Michael Aertsen, James Moggridge, Erwin Bellon, Anna L David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin
OBJECTIVES: Clinical imaging data are essential for developing research software for computer-aided diagnosis, treatment planning and image-guided surgery, yet existing systems are poorly suited for data sharing between healthcare and academia: research systems rarely provide an integrated approach for data exchange with clinicians; hospital systems are focused towards clinical patient care with limited access for external researchers; and safe haven environments are not well suited to algorithm development...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187888/a-survey-of-nature-inspired-algorithms-for-feature-selection-to-identify-parkinson-s-disease
#12
Prashant Shrivastava, Anupam Shukla, Praneeth Vepakomma, Neera Bhansali, Kshitij Verma
BACKGROUND AND OBJECTIVES: Parkinson's disease is a chronic neurological disorder that directly affects human gait. It leads to slowness of movement, causes muscle rigidity and tremors. Analyzing human gait serves to be useful in studies aiming at early recognition of the disease. In this paper we perform a comparative analysis of various nature inspired algorithms to select optimal features/variables required for aiding in the classification of affected patients from the rest. METHODS: For the experiments, we use a real life dataset of 166 people containing both healthy controls and affected people...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187887/collapsed-cone-dose-calculations-for-heterogeneous-tissues-in-brachytherapy-using-primary-and-scatter-separation-source-data
#13
Anders Ahnesjö, Bob van Veelen, Åsa Carlsson Tedgren
BACKGROUND AND OBJECTIVE: Brachytherapy is a form of radiation therapy using sealed radiation sources inserted within or in the vicinity of the tumor of, e.g., gynecological, prostate or head- and neck cancers. Accurate dose calculation is a crucial part of the treatment planning. Several reviews have called for clinical software with model-based algorithms that better take into account the effects of patient individual distribution of tissues, source-channel and shielding attenuation than the commonly employed TG-43 formalism which simply map homogeneous water dose distributions onto the patient...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187886/quantification-of-the-first-order-high-pass-filter-s-influence-on-the-automatic-measurements-of-the-electrocardiogram
#14
Jonas Isaksen, Remo Leber, Ramun Schmid, Hans-Jakob Schmid, Gianluca Generali, Roger Abächerli
BACKGROUND AND OBJECTIVE: The first-order high-pass filter (AC coupling) has previously been shown to affect the ECG for higher cut-off frequencies. We seek to find a systematic deviation in computer measurements of the electrocardiogram when the AC coupling with a 0.05 Hz first-order high-pass filter is used. METHODS: The standard 12-lead electrocardiogram from 1248 patients and the automated measurements of their DC and AC coupled version were used. We expect a large unipolar QRS-complex to produce a deviation in the opposite direction in the ST-segment...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187885/automated-characterization-and-counting-of-ki-67-protein-for-breast-cancer-prognosis-a-quantitative-immunohistochemistry-approach
#15
Tushar Mungle, Suman Tewary, Indu Arun, Bijan Basak, Sanjit Agarwal, Rosina Ahmed, Sanjoy Chatterjee, Asok Kumar Maity, Chandan Chakraborty
Ki-67 protein expression plays an important role in predicting the proliferative status of tumour cells and deciding the future course of therapy in breast cancer. Immunohistochemical (IHC) determination of Ki-67 score or labelling index, by estimating the fraction of Ki67 positively stained tumour cells, is the most widely practiced method to assess tumour proliferation (Dowsett et al. 2011). Accurate manual counting of these cells (specifically nuclei) due to complex and dense distribution of cells, therefore, becomes critical and presents a major challenge to pathologists...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187884/bio-mathematical-analysis-for-the-peristaltic-flow-of-single-wall-carbon-nanotubes-under-the-impact-of-variable-viscosity-and-wall-properties
#16
Iqra Shahzadi, Hina Sadaf, Sohail Nadeem, Anber Saleem
OBJECTIVE: The main objective of this paper is to study the Bio-mathematical analysis for the peristaltic flow of single wall carbon nanotubes under the impact of variable viscosity and wall properties. DESIGN/APPROACH: The right and the left walls of the curved channel possess sinusoidal wave that is travelling along the outer boundary. The features of the peristaltic motion are determined by using long wavelength and low Reynolds number approximation. Exact solutions are determined for the axial velocity and for the temperature profile...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187883/enhancement-of-lung-sounds-based-on-empirical-mode-decomposition-and-fourier-transform-algorithm
#17
Ashok Mondal, Poulami Banerjee, Ajay Somkuwar
BACKGROUND AND OBJECTIVE: There is always heart sound (HS) signal interfering during the recording of lung sound (LS) signals. This obscures the features of LS signals and creates confusion on pathological states, if any, of the lungs. In this work, a new method is proposed for reduction of heart sound interference which is based on empirical mode decomposition (EMD) technique and prediction algorithm. METHOD: In this approach, first the mixed signal is split into several components in terms of intrinsic mode functions (IMFs)...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187882/an-anomaly-detection-approach-for-the-identification-of-dme-patients-using-spectral-domain-optical-coherence-tomography-images
#18
Désiré Sidibé, Shrinivasan Sankar, Guillaume Lemaître, Mojdeh Rastgoo, Joan Massich, Carol Y Cheung, Gavin S W Tan, Dan Milea, Ecosse Lamoureux, Tien Y Wong, Fabrice Mériaudeau
This paper proposes a method for automatic classification of spectral domain OCT data for the identification of patients with retinal diseases such as Diabetic Macular Edema (DME). We address this issue as an anomaly detection problem and propose a method that not only allows the classification of the OCT volume, but also allows the identification of the individual diseased B-scans inside the volume. Our approach is based on modeling the appearance of normal OCT images with a Gaussian Mixture Model (GMM) and detecting abnormal OCT images as outliers...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187881/a-clinical-decision-making-mechanism-for-context-aware-and-patient-specific-remote-monitoring-systems-using-the-correlations-of-multiple-vital-signs
#19
Abdur Rahim Mohammad Forkan, Ibrahim Khalil
BACKGROUND AND OBJECTIVES: In home-based context-aware monitoring patient's real-time data of multiple vital signs (e.g. heart rate, blood pressure) are continuously generated from wearable sensors. The changes in such vital parameters are highly correlated. They are also patient-centric and can be either recurrent or can fluctuate. The objective of this study is to develop an intelligent method for personalized monitoring and clinical decision support through early estimation of patient-specific vital sign values, and prediction of anomalies using the interrelation among multiple vital signs...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886720/editorial
#20
EDITORIAL
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January 2017: Computer Methods and Programs in Biomedicine
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