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Statistical shape model reconstruction with sparse anomalous deformations: application to intervertebral disc herniation
Many medical image processing techniques rely on accurate shape modeling of anatomical features. The presence of shape abnormalities challenges traditional processing algorithms based on strong morphological priors. In this work, a sparse shape reconstruction from a statistical shape model is presented. It combines the advantages of traditional statistical shape models (defining a ’normal’ shape space) and previously presented sparse shape composition (providing localized descriptors of anomalies). (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - May 20, 2015 Category: Radiology Authors: Aleš Neubert, Jurgen Fripp, Craig Engstrom, Daniel Schwarz, Marc-André Weber, Stuart Crozier Source Type: research

Classification of Multiple Sclerosis Lesions using Adaptive Dictionary Learning
Multiple sclerosis is a chronic, autoimmune disease of the central nervous system (CNS). It is characterized by the structural damages of axons and their myelin sheathes. Magnetic resonance imaging is the best paraclinical method for the diagnosis of MS, assessment of disease progression and treatment efficacy [1,2]. These images are analyzed to find the number and spatial patterns of the lesions, appearance of new lesions and the total lesion load, which are key parameters in the current MS diagnostic setup. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - May 20, 2015 Category: Radiology Authors: Hrishikesh Deshpande, Pierre Maurel, Christian Barillot Source Type: research

Alzheimer's disease diagnosis on structural MR Images using Circular Harmonic Functions descriptors on Hippocampus and Posterior Cingulate Cortex
Alzheimer's disease (AD) is a progressive, neurodegenerative disease characterized by severe deterioration in cognitive function, especially by memory loss. Nowadays, it represents a major public health problem. An early diagnosis of AD will allow patients to benefit from new treatments that may slow down neurodegeneration. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - May 19, 2015 Category: Radiology Authors: Olfa Ben Ahmed, Maxim Mizotin, Jenny Benois-Pineau, Michèle Allard, Gwénaëlle Catheline, Chokri Ben Amar, for the Alzheimer's Disease Neuroimaging Initiative Source Type: research

Automated 3D–2D registration of X-ray microcomputed tomography with histological sections for dental implants in bone using chamfer matching and simulated annealing
Biological processes associated with the osseointegration of endosseous dental implants have been extensively investigated in numerous preclinical and clinical studies [1–3]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - May 14, 2015 Category: Radiology Authors: Kathrin Becker, Martin Stauber, Frank Schwarz, Tim Beißbarth Source Type: research

Automated 3D-2D registration of X-ray microcomputed tomography with histological sections using chamfer matching and simulated annealing
Biological processes associated with the osseointegration of endosseous dental implants have been extensively investigated in numerous preclinical and clinical studies [9,12,11]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - May 14, 2015 Category: Radiology Authors: Kathrin E. Becker, Martin Stauber, Frank Schwarz, Tim Beißbarth Source Type: research

Preliminary investigation into sources of uncertainty in quantitative imaging features
Lung cancer is the leading cause of cancer deaths both globally and within the United States[1]. Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancer cases[2]. Survival rates in NSCLC have remained low despite progress in imaging and treatment techniques over the past forty years[1]. This problem is compounded by the substantial variability in outcomes among patients of the same stage or risk-group which can make choosing the optimal treatment strategy for any individual patient difficult. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - May 5, 2015 Category: Radiology Authors: Xenia Fave, Molly Cook, Amy Frederick, Lifei Zhang, Jinzhong Yang, David Fried, Francesco Stingo, Laurence Court Source Type: research

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis
In clinical practice, pathologists visually examine tissue samples under a microscope for the purpose of diagnosing the presence of disease. Different colour stains are usually used to indicate the presence of different proteins. Hematoxylin and Eosin (H&E) are standard stains that highlight nuclei in blue/purple and cytoplasm in pink in order to visualize the structure of interest in the tissue [28]. Hematoxylin (H) dye can stain all nuclei in the H&E histopathological images. Therefore, in order to detect or segment all the nuclei, one popular idea (such as blue ratio algorithm [7]) is to detect H stains or blue color in...
Source: Computerized Medical Imaging and Graphics - April 28, 2015 Category: Radiology Authors: Jun Xu, Lei Xiang, Guanhao Wang, Shridar Ganesan, Michael Feldman, Natalie NC Shih, Hannah Gilmore, Anant Madabhushi Source Type: research

Sparse Non-negative Matrix Factorization (SNMF) based Color Unmixingfor Breast Histopathological Image Analysis
In clinical practice, pathologists visually examine tissue samples under a microscope for the purpose of diagnosing the presence of disease. Different colour stains are usually used to indicate the presence of different proteins. Hematoxylin and Eosin (H&E) are standard stains that highlight nuclei in blue/purple and cytoplasm in pink in order to visualize the structure of interest in the tissue [28]. Hematoxylin (H) dye can stain all nuclei in the H&E histopathological images. Therefore, in order to detect or segment all the nuclei, one popular idea (such as blue ratio algorithm [7]) is to detect H stains or blue color in...
Source: Computerized Medical Imaging and Graphics - April 28, 2015 Category: Radiology Authors: Jun Xu, Lei Xiang, Guanhao Wang, Shridar Ganesan, Michael Feldman, Natalie Shih, Hannah Gilmore, Anant Madabhushi Source Type: research

Group Sparsity Model for Stain Unmixing in Brightfield Multiplex Immunohistochemistry Images
Multiplex immunohistochemistry (IHC) staining is a new, emerging technique for the detection of multiple biomarkers within a single tissue section. The initial key step in multiplex IHC image analysis in digital pathology is of tremendous clinical importance due to its ability to accurately unmix the IHC image and differentiate each of the stains. The technique has become popular due to its significant efficiency and the rich diagnostic information it contains. The intriguing task of unmixing a three-channel CCD color camera acquired RGB image into more than three colors is very challenging, and to the best of our knowledg...
Source: Computerized Medical Imaging and Graphics - April 15, 2015 Category: Radiology Authors: Ting Chen, Chukka Srinivas Source Type: research

Recovery of CT stroke hypodensity – An adaptive variational approach
Optimal reperfusion therapy of the hyperacute stroke patient recognizes the “time is brain” paradigm with rapid response requiring a multidisciplinary approach involving inter alia neurovascular imaging experts [1]. The proposed computerized support of hyperacute ischemia diagnosis was based on routinely used CT scans. More clear and precise visualization of the infarct extent with probable penumbra surroundings and edema manifestations, in general called hypodensity, was obtained. Additionally, automatic recognition of a resultant, such symptom-driven asymmetric distribution of tissue density was used for objectified ...
Source: Computerized Medical Imaging and Graphics - March 30, 2015 Category: Radiology Authors: Artur Przelaskowski Source Type: research

Recovery of CT stroke hypodensity - an adaptive variational approach
Optimal reperfusion therapy of the hyperacute stroke patient recognizes the “time is brain” paradigm with rapid response requiring a multidisciplinary approach involving inter alia neurovascular imaging experts [1]. The proposed computerized support of hyperacute ischemia diagnosis was based on routinely used CT scans. More clear and precise visualization of the infarct extent with probable penumbra surroundings and edema manifestations, in general called hypodensity, was obtained. Additionally, automatic recognition of a resultant, such symptom-driven asymmetric distribution of tissue density was used for objectified ...
Source: Computerized Medical Imaging and Graphics - March 30, 2015 Category: Radiology Authors: Artur Przelaskowski Source Type: research

Editorial
Technological advances in diagnostic and intraoperative imaging offer increasingly useful information regarding vascular anatomy and function and are poised to have dramatic impact on the diagnosis, analysis, modeling, and treatment of vascular diseases. Computational vision techniques designed to analyze images for modeling, simulating, and visualizing anatomy and medical devices such as stents as well as the assessment of interventional procedures are therefore playing an important role and are currently receiving significant interest. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 28, 2015 Category: Radiology Authors: Su-Lin Lee, Simone Balocco, Carlo Gatta, Stefanie Demirci, Geir Arne Tangen Source Type: research

Editorial of the Special issue STENT
Technological advances in diagnostic and intraoperative imaging offer increasingly useful information regarding vascular anatomy and function and are poised to have dramatic impact on the diagnosis, analysis, modeling, and treatment of vascular diseases. Computational vision techniques designed to analyze images for modeling, simulating, and visualizing anatomy and medical devices such as stents as well as the assessment of interventional procedures are therefore playing an important role and are currently receiving significant interest. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 28, 2015 Category: Radiology Authors: Su-Lin Lee, Simone Balocco, Carlo Gatta, Stefanie Demirci, Geir Arne Tangen Tags: Editorial Source Type: research

Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the -support norm
Functional magnetic resonance imaging (fMRI) is a widely used modality, within the field of neuroimaging, that measures brain activity by detecting associated changes in blood oxygenation. One of the goals of fMRI data analysis is to detect correlations between brain activation and a task the subject performs during the scan. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 27, 2015 Category: Radiology Authors: Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna B. Konova, Jean Honorio, Nelly Alia-Klein, Rita Z. Goldstein, Dimitris Samaras, Matthew B. Blaschko Source Type: research

Appearance Normalization of Histology Slides
Stains are often used to highlight distinct structures in microscopy slides of tissue samples. Frequently two stains, such as eosin and hematoxylin, are applied for purposes such as discriminating cell nuclei and cytoplasm. Standardized staining protocols help to reduce variations in staining results, however, various factors can affect stain color and intensity in practice. For example, stains can fade over time, stain colors may differ slightly, or different imaging equipment may be used. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 25, 2015 Category: Radiology Authors: Jared Vicory, Heather D. Couture, Nancy E. Thomas, David Borland, J.S. Marron, John Woosley, Marc Niethammer Source Type: research