WM-DOVA Maps for Accurate Polyp Highlighting in Colonoscopy: Validation vs. Saliency Maps from Physicians
Colon cancer is nowadays the fourth cause of cancer death worldwide. In 2012, an estimated number of 746.298 cases were diagnosed with colorectal cancer (CRC) and a total number of 373.631 died of the disease [1]. CRC's survival rate depends on the stage it is detected on, going from rates higher than 95% in early stages to rates lower than 35% in latter ones [2], hence the necessity of an early colon screening. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 22, 2015 Category: Radiology Authors: Jorge Bernal, F. Javier Śanchez, Gloria Ferńandez-Esparrach, Debora Gil, Cristina Rodŕıguez, Fernando Vilariño Source Type: research

Genetic Algorithm Based Feature Selection Combined with Dual Classification for the Automated Detection of Proliferative Diabetic Retinopathy
Diabetes mellitus is a disorder of sugar metabolism caused by an absolute lack of insulin or an insufficient action of insulin and hence is characterized by raised levels of glucose in the blood. High blood glucose levels (Hyperglycemia) can damage the vessels that supply blood to vital organs. Diabetic retinopathy (DR) is the resultant disorder affecting the retinal vasculature, leading to progressive retinal damage that can end in loss to vision and blindness [1]. DR is the most frequent cause of new cases of blindness among adults aged 20-74 years [2]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 22, 2015 Category: Radiology Authors: R.A. Welikala, M.M. Fraz, J. Dehmeshki, A. Hoppe, V. Tah, S. Mann, T.H. Williamson, S.A. Barman Source Type: research

Fully Automated Diabetic Retinopathy Screening Using Morphological Component Analysis
Diabetes mellitus (DM) has been identified as one of the leading causes of death, disability, and blindness in the world. According to World Health Organization (WHO) statistics, more than 285 million people around the world have DM and it is predicted to reach 439 million people by 2030 [1]. Diabetic retinopathy (DR) is the most common eye disease that affects patients with DM. DR is usually asymptomatic at its early stage which may only be recognized when changes in the retina have progressed to the level that makes the treatment impossible. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 22, 2015 Category: Radiology Authors: Elaheh Imani, Hamid-Reza Pourreza, Touka Banaee Source Type: research

Features Extraction in Anterior and Posterior Cruciate Ligaments Analysis
The Anterior Cruciate Ligament (ACL) and Posterior Cruciate Ligament (PCL) are anatomical structures responsible, together with the collateral ligaments, for the knee stability and ensure proper arthrokinematics, along with the shape of articular surface, muscles and contact forces. They also play an important role during passive and active motions of the knee joint. During a passive motion of the knee, the cruciate ligaments help to change rolling into sliding movements and during an active motion of the knee they resist translations and reduce shear forces. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 11, 2015 Category: Radiology Authors: P. Zarychta Source Type: research

Granular Computing in Model Based Abdominal Organs Detection
In this study a concept of implementing granular computing in the detection of anatomical structures in abdominal computed tomography (CT) scans is introduced. After proving the usefulness of the information granules to identify voxels that mark certain organs, an automatic model-based approach has been developed. A three-parameter granule that combines the interval and density distribution of voxels has been introduced and employed to identify organ specific voxels of the liver, spleen and kidneys. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 11, 2015 Category: Radiology Authors: Jan Juszczyk, Ewa Pietka, Bartłomiej Pyciński Source Type: research

GPU Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data
Computational power of multicore processors and Graphical Processing Unit (GPU) supported devices, which are now widely available in commonly-used computers, provide a practical way to implement computationally intensive algorithms in parallel. Open Multi Processing (OpenMP) application programming interface provides an efficient abstraction for implementing parallel algorithms for multicore processors [1,2]. Software developers utilized advantages of OpenMP to speed up their applications using regular multicore CPUs. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 7, 2015 Category: Radiology Authors: Devrim Akgün, Ünal Sakoğlu, Johnny Esquivel, Bryon Adinoff, Mutlu Mete Source Type: research

Texture analysis and classification in coherent anti-Stokes Raman scattering (CARS) microscopy images for automated detection of skin cancer
Basal cell carcinoma (BCC) – which originate from basal cells – is the most frequent cancer in humans [1]. The diagnostics of this tumor can be highly complicated because of its diverse morphological manifestation [2]. Currently, the skin cancer is diagnosed – additionally to visual inspection – by a punch biopsy with subsequent histopathological analysis of H&E stained tissue sections [3,4]. This procedure is invasive, time-consuming and associated with high costs. However, early tumor detection is crucial for successful medical treatment and increase of survival rates [5]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 7, 2015 Category: Radiology Authors: Fisseha Bekele Legesse, Anna Medyukhina, Sandro Heuke, Jürgen Popp Source Type: research

Automatic Differentiation of Melanoma From Dysplastic Nevi
Malignant melanoma causes the majority of deaths related to skin cancer. Nevertheless, it is the most treatable one, depending on its early diagnosis. The early prognosis is a challenging task for both clinicians and dermatologist, due to the characteristic similarities of melanoma with other skin lesions such as dysplastic nevi. In the past decades, several computerized lesion analysis algorithms have been proposed by the research community for detection of melanoma. These algorithms mostly focus on differentiating melanoma from benign lesions and few have considered the case of melanoma against dysplastic nevi. (Source: ...
Source: Computerized Medical Imaging and Graphics - March 7, 2015 Category: Radiology Authors: Mojdeh Rastgoo, Rafael Garcia, Olivier Morel, Franck Marzani Source Type: research

Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach
The usage of X-ray computed tomography (CT) has increased dramatically since its introduction in the 1970s. It was estimated that 76 million CT scans were performed across the hospitals and clinics of the United States in 2013 [1]. The consequential radiation dose is significant and the potential radiation risks are receiving growing concerns [2]. Since the radiation risks typically decrease with the reduced radiation dose, many techniques and strategies have been proposed for dose reduction on the CT examinations [3–5]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - March 6, 2015 Category: Radiology Authors: Hao Zhang, Jianhua Ma, Jing Wang, Yan Liu, Hao Han, Hongbing Lu, William Moore, Zhengrong Liang Source Type: research

Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography
According to statistics provided by the World Health Organization (WHO) breast cancer was responsible for 458,000 deaths in 2008 worldwide and is a leading cause of women death around the world. Since the effective prevention of breast cancer occurrence is still impossible, the detection and diagnosis of the disease at its early stage is a significant step towards an increased breast cancer survival rate. Mammography, an X-ray based breast imaging modality, is currently the most effective tool for breast cancer screening. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - February 24, 2015 Category: Radiology Authors: Imad Zyout, Joanna Czajkowska, Marcin Grzegorzek Source Type: research

Multi-scale Textural Feature Extraction and Particle Swarm OptimizationBased Model Selection for False Positive Reduction in Mammography
According to statistics provided by the World Health Organization (WHO) breast cancer was responsible for 458,000 deaths in 2008 worldwide and is a leading cause of women death around the world. Since the effective prevention of breast cancer occurrence is still impossible, the detection and diagnosis of the disease at its early stage is a significant step towards an increased breast cancer survival rate. Mammography, an X-ray based breast imaging modality, is currently the most effective tool for breast cancer screening. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - February 24, 2015 Category: Radiology Authors: Imad Zyout, Joanna Czajkowska, Marcin Grzegorzek Source Type: research

Imaging Results of Multi-modal Ultrasound Computerized Tomography System Designed for Breast Diagnosis
The most widely applied diagnostic tests used for early detection of breast cancer lesions currently include palpation (manual), X-ray mammography, ultrasonic B-mode imaging (US), and magnetic resonance (MR) mammography [1]. In the case of suspected malignancy of the breast cancer, cytology or histopathological examination is performed on material obtained through biopsy. There are other diagnostic methods which can be used for preventive examinations of breast, such as [2]: elastography (USE), thermography, electrical impedance tomography (EIT), single photon emission computed tomography (SPECT) and positron emission tomo...
Source: Computerized Medical Imaging and Graphics - February 21, 2015 Category: Radiology Authors: Krzysztof J. Opieliński, Piotr Pruchnicki, Tadeusz Gudra, Przemysław Podgórski, Jacek Kurcz, Tomasz Kraśnicki, Marek Sąsiadek, Jarosław Majewski Source Type: research

Editorial board and publication information
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - February 17, 2015 Category: Radiology Source Type: research

Introduction
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 - February 17, 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 - February 17, 2015 Category: Radiology Authors: Su-Lin Lee, Simone Balocco, Carlo Gatta, Stefanie Demirci, Geir Arne Tangen Source Type: research