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An Integrated Blood Pressure Measurement System for Suppression of Motion Artifacts
Hypertension affects approximately one billion individuals worldwide. It is estimated to be responsible for 7.1 million premature deaths and 4.5% of disease burden. Moreover, overestimating or underestimating blood pressure (BP) by even as little as 5 mmHg can result in over 20 million persons appearing to have normal blood pressure rather than hypertension [1]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - March 8, 2017 Category: Bioinformatics Authors: Huthaifa N. Abderahman, Hilmi R. Dajani, Miodrag Bolic, Voicu Z. Groza Source Type: research

An Enhancement Method for Color Retinal Images Based on Image Formation Model
Retinal imaging is widely used in medical diagnosis of ocular diseases such as glaucoma, cataract, age-related macular degeneration and diabetic retinopathy in recent years [1]. As a standard image modality, fundus camera is usually used to acquire retinal images, showing structures like optic disc, retinal vessels and several other. The changes detected in these structures can be indicative of a pathological condition associated with diseases such as glaucoma and diabetic retinopathy, which can further be confirmed by performing detailed analysis of these retinal images. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - March 6, 2017 Category: Bioinformatics Authors: Li Xiong, Huiqi Li, Liang Xu Source Type: research

Fully Automated Nipple Detection in Digital Breast Tomosynthesis
Breast cancer makes up 23% of all existing cancer cases, and has the highest incidence rate in women. It also has a high mortality rate, followed by lung and bronchus cancers [1]. Early screening, which is the search for cancer before the patient shows any physical symptoms, assists in early-stage cancer detection. Detecting cancer or abnormal tissue during the early stages can make treatment easier and increase the survival rate of the patient. Early screening can be critical because the expression of symptoms indicates that the cancer is spreading [2]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - March 4, 2017 Category: Bioinformatics Authors: Seung-Hoon Chae, Ji-Wook Jeong, Jang-Hwan Choi, Eun Young Chae, Hak Hee Kim, Young-Wook Choi, Sooyeul Lee Source Type: research

Semi-automatic segmentation of femur based on harmonic barrier
As one of the most important joints in human body, hip joints often suffer from frequent postnatal wearing, accidental impact and functional degradation, which may result in common pain and bone deformities. To diagnose these complicated symptoms before clinical treatment, segmentation of a pelvic CT scan offers accurate and compact representations of patient-specific hip bones [1]. Furthermore, it is also an important prerequisite of surgical planning, cinematic analysis of joints and navigation for total hip replacement [2]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - March 3, 2017 Category: Bioinformatics Authors: Zheng Zou, Sheng-Hui Liao, San-Ding Luo, Qing Liu, Shi-Jian Liu Source Type: research

A novel method and software for automatically classifying Alzheimer ’s disease patients by magnetic resonance imaging analysis
The Alzheimer ’s Disease (AD) is one of the most common form of dementia, prevailing in people with over 65 years. In AD, normal brain tissues are degenerated and this fact can cause a reduction of memory and mental abilities. Magnetic resonance imaging does have a good ability for differentiating between soft tissues, thus providing useful information about organs like the brain. It is a tool that allows to diagnose many brain diseases including the Alzheimer’s disease. Multiple approaches successfully used MRI brain scans for abnormality/ normality Alzheimer assessment in the past [1–5]. (Source: Computer Methods a...
Source: Computer Methods and Programs in Biomedicine - March 3, 2017 Category: Bioinformatics Authors: F. Previtali, P. Bertolazzi, G. Felici, E. Weitschek Source Type: research

Leveraging Medical Taxonomies to Improve Knowledge Management within Online Communities of Practice: The Knowledge Maps System
Clinical practice should be informed by best evidence in order to provide safe, effective, standardized and up-to-date care to patients. Knowledge Translation (KT) provides strategies to incorporate best evidence and research findings into practice [1], and there are a variety of KT frameworks that stipulate conceptual and operational considerations for KT implementations in healthcare environments [2]. The spectrum of healthcare knowledge encompasses both explicit knowledge (published research literature and clinical guidelines) and experiential knowledge (the practical know how of healthcare experts acquired over years o...
Source: Computer Methods and Programs in Biomedicine - March 3, 2017 Category: Bioinformatics Authors: Samuel Alan Stewart, Syed Sibte Raza Abidi Source Type: research

Predicting epileptic seizures from scalp EEG based on attractor state analysis
Epilepsy is the second most common disease of the brain. Approximately 1% of the world population suffers from it [1]. Epilepsy is caused by occasionally excessive and abnormal discharging of neurons, and it appears clinically as the occurrence of seizures [2]. During seizures, abnormal and excessive neural activity leads to transient disturbance in the normal electrical function of the brain [3]. This causes memory impairment, difficulty in body movement, and even death [4]. Epilepsy makes it difficult for patients to live a normal life because it is difficult to predict when seizures will occur. (Source: Computer Methods...
Source: Computer Methods and Programs in Biomedicine - March 2, 2017 Category: Bioinformatics Authors: Hyunho Chu, Chun Kee Chung, Woorim Jeong, Kwang-Hyun Cho Source Type: research

Automatic gender determination from 3D digital maxillary tooth plaster models based on the random forest algorithm and discrete cosine transform
Identity is a collection of the individual characteristics of a person, and is different for each person, while identification is the process of recognition of these properties. One of the primary aspects of identification is gender; through gender determination, the search spectrum can be reduced. Moreover, performing identification is often difficult following certain situations such as traffic accidents or fire-related disasters. Durable teeth can be an important source for identification. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - February 28, 2017 Category: Bioinformatics Authors: Bet ül Akkoç, Ahmet Arslan, Hatice Kök Source Type: research

DISTING: A Web Application for Fast Algorithmic Computation of Alternative Indistinguishable Linear Compartmental Models
A structured mathematical model based on limited experimental data is often used to predict model or system attributes that cannot be measured directly. This often engenders two fundamental analysis problems: model structural identifiability (SI) and model structural indistinguishability. The word ‘structural’ in both of these indicates that perfect input-output data are assumed; neither problem is concerned with parameter estimation accuracy using real data. SI analysis addresses whether particular model parameters or combination of them are quantifiable in principle from the input-outpu t I-O data. (Source: Computer ...
Source: Computer Methods and Programs in Biomedicine - February 27, 2017 Category: Bioinformatics Authors: Natalie R. Davidson, Keith R. Godfrey, Faisal Alquaddoomi, David Nola, Joseph J. DiStefano Source Type: research

Editorial Board
(Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - February 25, 2017 Category: Bioinformatics Source Type: research

The informative exhibition of diagnostic imaging
Imaging is a critical tool in medical examination and diagnosis including radiology, pathology and so on. Three selected articles are introduced here to demonstrate the state-of-the-art quantitative image analysis developed for medicine. An international research group including Japan, USA, Spain, Italy, and Cyprus submitted “Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment” [1] to standardize carotid intima-media thickness (IMT) measurement for stroke risk assessment. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - February 25, 2017 Category: Bioinformatics Authors: Chung-Ming Lo, Usman Iqbal, Yu-Chuan  (Jack) Li Tags: Editorial Source Type: research

A computational measurement of cartilaginous endplate structure using ultrashort time-to-echo MRI scanning
Intervertebral disc (IVD) degeneration is one of the most common musculoskeletal disorders, and it has been considered as one possible cause of low back pain. In the IVD, cartilaginous endplate (CEP) is a thin layer of hyaline cartilage positioned between the bony endplate and nucleus pulposus [1]. It prevents the bulging of the nucleus pulposus into the neighboring vertebral bodies and disperses the compressive loading experienced by the vertebra-disc complex [2]. Importantly, CEP acts as a selectively permeable barrier for nutrient transport into the intervertebral disc (IVD) in which most of the cells are nourished by t...
Source: Computer Methods and Programs in Biomedicine - February 23, 2017 Category: Bioinformatics Authors: Ri-Chu Jin, Yong-Can Huang, Keith D.K. Luk, Yong Hu Source Type: research

Automatic liver segmentation from abdominal CT volumes using graph cuts and border marching
In the area of computed tomography (CT) based clinical abdominal diagnosis, the accurate segmentation of liver tissue from CT volumes is an essential and crucial step for computer-aided liver disease diagnosis and surgical planning. Taking the liver transplantation for example, the measurement of liver volumes and the analysis of liver vasculature require accurate liver segmentation from CT volumes, and are extremely important for deciding whether a candidate of transplantation is suitable or not. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - February 23, 2017 Category: Bioinformatics Authors: Miao Liao, Yu-qian Zhao, Xi-yao Liu, Ye-zhan Zeng, Bei-ji Zou, Xiao-fang Wang, Frank Y. Shih Source Type: research

MotorBrain: a Mobile App for the Assessment of Users ’ Motor Performance in Neurology
Human motor control is the process by which people use their neuromuscular system to coordinate and perform motor actions. It is crucial for regulating motion, balance, stability, coordination, and our interaction with the world [1,2]. Studies in the literature have shown that motor performance changes across the life span, i.e. it improves from childhood to young adulthood and then it gets worse with aging [3,4]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - February 22, 2017 Category: Bioinformatics Authors: Andrea Vianello, Luca Chittaro, Stefano Burigat, Riccardo Budai Source Type: research

Location of mammograms ROI's and reduction of false-positive
A mammogram is an image test used to detect and evaluate breast changes [1]. Mammograms are used for women who have no symptoms or signs of breast cancer (such as a previous abnormal mammogram) [2]. The goal of the mammograms is to diagnose abnormalities when they are small [3]. By finding breast cancers in the early stage (before they have grown and spread) mortality could be reduced in about 30% [4]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - February 22, 2017 Category: Bioinformatics Authors: Luis Antonio Salazar Licea, Jes ús Carlos Pedraza-Ortega, Alberto Pastrana-Palma, Marco A. Aceves-Fernandez Source Type: research