Computerized Medical Imaging and Graphics 
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This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.Automated layer segmentation of macular OCT images via Graph-Based SLIC Superpixels and Manifold Ranking Approach
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 24, 2016 Category: Radiology Authors: Zhijun Gao, Wei Bu, Xiangqian Wu, Yalin Zheng Source Type: research
Incorporation of Gradient Vector Flow Field in a Multimodal Graph-Theoretic Approach for Segmenting the Internal Limiting Membrane from Glaucomatous Optic Nerve Head-Centered SD-OCT Volumes
The top surface of the retina and optic nerve head is called the internal limiting membrane (ILM) and is utilized for measuring several structural parameters such as Bruch's membrane opening-minimum rim width (BMO-MRW), total retinal thickness, and cup volume. The BMO-MRW, for instance, is measured as the minimum Euclidean distance between the BMO and the ILM surface, and has been shown to be superior to other conventional structural parameters for diagnosing open angle glaucoma Chauhan et al. (2013). (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 22, 2016 Category: Radiology Authors: Mohammad Saleh Miri, Victor A. Robles, Michael D. Abr àmoff, Young H. Kwon, Mona K. Garvin Source Type: research
Penalized Weighted Least-Squares Approach for Multienergy Computed Tomography Image Reconstruction via Structure Tensor Total Variation Regularization
Multienergy computed tomography (MECT) is an emerging technique, which has the capability in simultaneously providing multiple sets of energy-selective data at specific energy windows (Heismann et al., 2012). The gains of MECT are evident relative to current energy integrating CT in various clinical applications due to its high detection precision and robust material identification ability (Boll et al., 2010; Cormode et al., 2010). Meanwhile, the energy resolution of MECT is highly dependent on the selection of the energy bin width (Leng et al., 2011). (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 18, 2016 Category: Radiology Authors: Dong Zeng, Yuanyuan Gao, Jing Huang, Zhaoying Bian, Hua Zhang, Lijun Lu, Jianhua Ma Source Type: research
Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 18, 2016 Category: Radiology Authors: Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian Source Type: research
Penalized Weighted Least-Squares Approach for Multienergy Computed Tomography Image Reconstruction via Structure Tensor Total Variation Regularization
Multienergy computed tomography (MECT) is an emerging technique, which has the capability in simultaneously providing multiple sets of energy-selective data at specific energy windows (Heismann et al., 2012). The gains of MECT are evident relative to current energy integrating CT in various clinical applications due to its high detection precision and robust material identification ability (Boll et al., 2010; Cormode et al., 2010). Meanwhile, the energy resolution of MECT is highly dependent on the selection of the energy bin width (Leng et al., 2011). (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 18, 2016 Category: Radiology Authors: Dong Zeng, Yuanyuan Gao, Jing Huang, Zhaoying Bian, Hua Zhang, Lijun Lu, Jianhua Ma Source Type: research
Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 18, 2016 Category: Radiology Authors: Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian Source Type: research
Talar dome detection and its geometric approximation in CT: Sphere, cylinder or bi-truncated cone?
The human ankle is a flexible structure with multiple movement abilities including internal/external rotation, dorsiflexion/plantar flexion and inversion/eversion (Koh et al., 2004). Orthopaedic ankle-related surgery is one of the widely-used treatments for osteochondral lesions of the talus whose aim is the reproduction of the physiological functions of ankle joint. This restoration is particularly important for ligaments tensioning (Leardini, 2001). The shapes of the implanted material should be compatible with the geometry of the ligamentous structures. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 15, 2016 Category: Radiology Authors: Junbin Huang, He Liu, Defeng Wang, James F. Griffith, Lin Shi Source Type: research
Talar Dome Detection and Its Geometric Approximation in CT: Sphere, Cylinder or Bi-truncated Cone?
The purpose of our study is to give a relatively objective definition of talar dome and its shape approximations to sphere (SPH), cylinder (CLD) and bi-truncated cone (BTC). (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 15, 2016 Category: Radiology Authors: Junbin Huang, He Liu, Defeng Wang, James F. Griffith, Lin Shi Source Type: research
Lung diaphragm tracking in CBCT images using spatio-temporal MRF
In External Beam Radiation Therapy (EBRT) intra fraction target motion management is an important problem for thoracic and abdominal tumors. There are many techniques for motion management like margin expansion, gated treatment, beam tracking, etc. (Murphy, 2004; Mageras and Yorke, 2004). In all these an accurate characterization of the breathing pattern is required. To observe the breathing pattern, there are three possible approaches (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 10, 2016 Category: Radiology Authors: Manivannan Sundarapandian, Ramakrishnan Kalpathi, R. Alfredo C. Siochi, Amrut S. Kadam Source Type: research
Lung diaphragm tracking in CBCT images using spatio-temporal MRF
In External Beam Radiation Therapy (EBRT) intra fraction target motion management is an important problem for thoracic and abdominal tumors. There are many techniques for motion management like margin expansion, gated treatment, beam tracking etc. (Murphy, 2004), (Mageras and Yorke, 2004). In all these an accurate characterization of the breathing pattern is required. To observe the breathing pattern, there are three possible approaches (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 10, 2016 Category: Radiology Authors: Manivannan Sundarapandian, Ramakrishnan Kalpathi, R. Alfredo C. Siochi, Amrut S Kadam Source Type: research
WITHDRAWN: Clinical pathways inference from decision rules by hybrid stream mining and fuzzy unordered rule induction strategy
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause.The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 4, 2016 Category: Radiology Authors: Simon Fong, Dana Wang, Jinan Fiaidhi, Sabah Mohammed, Libo Chen, Li Ling Source Type: research
Clinical Pathways Inference from Decision Rules by Hybrid Stream Mining and Fuzzy Unordered Rule Induction Strategy
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - July 4, 2016 Category: Radiology Authors: Simon Fong, Dana Wang, Jinan Fiaidhi, Sabah Mohammed, Libo Chen, Li Ling Source Type: research
Retinal image registration under the assumption of a spherical eye
We propose a method for registering a pair of retinal images. The proposed approach employs point correspondences and assumes that the human eye has a spherical shape. The image registration problem is formulated as a 3D pose estimation problem, solved by estimating the rigid transformation that relates the views from which the two images were acquired. Given this estimate, each image can be warped upon the other so that pixels with the same coordinates image the same retinal point. Extensive experimental evaluation shows improved accuracy over state of the art methods, as well as robustness to noise and spurious keypoint ...
Source: Computerized Medical Imaging and Graphics - June 21, 2016 Category: Radiology Authors: Carlos Hernandez-Matas, Xenophon Zabulis, Areti Triantafyllou, Panagiota Anyfanti, Antonis A. Argyros Source Type: research
