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A Hierarchical Convolutional Neural Network for Vesicle Fusion Event Classification
Vesicle exocytosis is an essential cellular trafficking process, by which materials (e.g., transporters, receptors and enzymes) are transported from one membrane-bounded organelle to another or to the plasma membrane for growth and secretion. Vesicle exocytosis needs to be highly regulated since its dysregulation is related to many human diseases (e.g., neurodegenerative disease, cancer and diabetes) (Hou et al., 1997; Jahn et al., 2012). Different modes of vesicle exocytosis have been found and characterized in mammalian cells. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - April 19, 2017 Category: Radiology Authors: Haohan Li, Yunxiang Mao, Zhaozheng Yin, Yingke Xu Source Type: research

Automated Analysis of Human Cochlea Shape Variability from segmented μCT images
The human cochlea is a spiral-shaped structure located in the inner ear. Essential organ of audition, its largest diameter is about  8.5 mm at the basal turn and its height about 7 mm (Dimopoulos and Muren, 1990). Cochlear structures include three scalae (or ducts) with complex morphology and showing interindividual variability in size and shape. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - April 11, 2017 Category: Radiology Authors: Thomas Demarcy, Clair Vandersteen, Nicolas Guevara, Charles Raffaelli, Dan Gnansia, Nicholas Ayache, Herv é Delingette Source Type: research

Integration of Free-Hand 3D Ultrasound and Mobile C-Arm Cone-Beam CT: Feasibility and Characterization for Real-Time Guidance of Needle Insertion
Accurate placement of a needle or probe is a common requirement in minimally invasive interventions, pain management, and drug delivery. In brachytherapy for example, radioactive seeds need to be precisely placed within the patient to ensure correct delivery of the planned dose distribution to the tumor volume (Koukourakis et al., 2009). Various ablation techniques rely on similar accurate placement of therapeutic probes within the target – e.g., radiofrequency ablation (RFA) and cryotherapy (Tiong and Maddern, 2011). (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - April 3, 2017 Category: Radiology Authors: E. Marinetto, A. Uneri, T. De Silva, S. Reaungamornrat, W. Zbijewski, A. Sisniega, S. Vogt, G. Kleinszig, J. Pascau, J.H. Siewerdsen Source Type: research

Editorial board and publication information
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - April 1, 2017 Category: Radiology Source Type: research

Recent developments in machine learning for medical imaging applications
Machine learning offers methods for automatic learning of complex patterns from empirical data and making intelligent decisions based on learned behavior. It has been well applied and recognized as an effective tool for researchers to handle the problems in medical applications. This becomes often necessary in the area of medicine, where the high dimensionality of data and highly variable environments make analytical solutions impossible and human-generated, rule-based heuristics intractable. In this special issue, the main focus is on the recent developments in machine learning methods for medical imaging applications. (S...
Source: Computerized Medical Imaging and Graphics - April 1, 2017 Category: Radiology Authors: Kelvin K.L. Wong, Liansheng Wang, Defeng Wang Tags: Editorial Source Type: research

Graph Cut-Based Method for Segmenting the Left Ventricle from MRI or Echocardiographic Images
Magnetic resonance imagery (MRI) and echocardiography are both very common imaging modalities for diagnosing cardiovascular diseases  (Bernard et al., 2015; Petitjean and Dacher, 2010). A single technique to segment the left ventricle (LV) in both modalities would be ideal to standardize tool-assisted clinical evaluations. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - April 1, 2017 Category: Radiology Authors: Michael Bernier, Pierre-Marc Jodoin, Olivier Humbert, Alain Lalande Source Type: research

Performance of Leading Artifact Removal Algorithms Assessed Across Microwave Breast Imaging Prototype Scan Configurations
Microwave imaging is a promising imaging modality for the detection of early-stage breast cancer. One of the most important signal processing components of microwave radar-based breast imaging is early-stage artifact removal. Several artifact removal algorithms have been reported in the literature. However, the neighbourhood-based skin subtraction and hybrid artifact removal algorithms have shown particularly promising results in different realistic 3D breast phantoms. For the first time in this paper, both algorithms have been evaluated and compared using the scan approaches of the most common microwave breast imaging pro...
Source: Computerized Medical Imaging and Graphics - March 2, 2017 Category: Radiology Authors: M.A. Elahi, C. Curtis, B. Lavoie, M. Glavin, E. Jones, E. Fear, M. O ’Halloran Source Type: research

Editorial board and publication information
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - February 28, 2017 Category: Radiology Source Type: research

Vertebrae Localization in CT using both Local and Global Symmetry Features
Automatic segmentation and localization of organs and bones in x-ray, Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) images are essential for further visual processing or application in many image guided medical treatments. Vertebra is one of the most difficult bones to locate and segment precisely due to its complex shape and structure. Furthermore, spine shows various deformed shape or is frequently occluded by other organs. Therefore, automatic precise vertebrae localization is not a trivial problem and has involved many state of the art image processing and computer vision algorithms. (Source: Computeriz...
Source: Computerized Medical Imaging and Graphics - February 28, 2017 Category: Radiology Authors: Kijung Kim, Seungkyu Lee Source Type: research

Plantar Fascia Segmentation and Thickness Estimation in Ultrasound Images
The plantar fascia (PF) or plantar aponeurosis is an aponeurotic thick, fibrous and strong connective tissue that provides stability to the medial longitudinal arch of the foot (Huang et al., 1993). It originates at the medial calcaneal tuberosity and extends toward the digits in three different structural bands: medial, central, and lateral (Chang, 2010) (Fig. 1). The central area is the largest, most affected by disease and most susceptible to deformities (Kwong et al., 1988; Kelikian, 2012). The PF plays an important role in stabilizing the foot during walking and running. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - February 16, 2017 Category: Radiology Authors: Abdelhafid Boussouar, Farid Meziane, Gillian Crofts Source Type: research

Target registration error minimization for minimally invasive interventions involving deformable organs
The continuing development and adoption of image navigation systems is part of the trend toward precise and minimally invasive procedures, which minimize trauma to the patient and allow faster recovery (Peters and Cleary, 2008). Imaging systems are widely used in procedures in which the reference points are rigid elements of the skeleton (e.g., treatment of the brain and spinal cord). However, imaging navigation systems for working with the displacement and deformation of soft tissues during surgery, as in the abdomen, are only in the preliminary implementation stage (Kenngott et al., 2014; Neshat et al., 2013; Phee and Ya...
Source: Computerized Medical Imaging and Graphics - February 7, 2017 Category: Radiology Authors: Sylwester Fabian, Dominik Spinczyk Source Type: research

Hypotensive effects of renal denervation in spontaneously hypertensive rat based on ultrasonic contrast imaging
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - February 7, 2017 Category: Radiology Authors: Ke Li, Jinwen Tian, Yuxiao Zhang, Qiao Xue, Caiyi Lu Source Type: research

Target Registration Error Minimization for Minimally Invasive Interventions
fiducial localization error (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - February 7, 2017 Category: Radiology Authors: Sylwester Fabian, Dominik Spinczyk Source Type: research

Early Identification of Mild Cognitive Impairment Using Incomplete Random Forest-Robust Support Vector Machine and FDG-PET Imaging
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - February 6, 2017 Category: Radiology Authors: Shen Lu, Yong Xia, Weidong Cai, Michael Fulham, David Dagan Feng, Alzheimer ’s Disease Neuroimaging Initiative Source Type: research

A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - February 4, 2017 Category: Radiology Authors: Nikolaos Dikaios, David Atkinson, Chiara Tudisca, Pierpaolo Purpura, Martin Forster, Hashim Ahmed, Timothy Beale, Mark Emberton, Shonit Punwani Source Type: research