Computerized Medical Imaging and Graphics Computerized Medical Imaging and Graphics RSS feedThis 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.

Preoperative Trajectory Planning for Percutaneous Procedures in Deformable Environments
In image-guided percutaneous interventions, a precise planning of the needle path is a key factor to a successful intervention. In this paper we propose a novel method for computing a patient-specific optimal path for such interventions, accounting for both the deformation of the needle and soft tissues due to the insertion of the needle in the body. To achieve this objective, we propose an optimization method for estimating preoperatively a curved trajectory allowing to reach a target even in the case of tissue motion and needle bending. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - October 28, 2015 Category: Radiology Authors: Noura Hamzé, Igor Peterlík, Stéphane Cotin, Caroline Essert Source Type: research

Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging
Cerebral microbleeds (CMBs) represent small foci hemosiderin deposition in normal brain tissue, corresponding to prior microscopic hemorrhages [1]. CMBs are relatively small in size (few millimeters), appear spherical and hypointense on magnetic resonance images (MRI), and are becoming recognized as important imaging findings in cognitive impairment and dementia [2], stroke and intracerebral haemorrhages [3] and cerebral amyloid angiopathy [4]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - October 24, 2015 Category: Radiology Authors: Amir Fazlollahi, Fabrice Meriaudeau, Luca Giancardo, Victor L. Villemagne, Christopher C. Rowe, Paul Yates, Olivier Salvado, Pierrick Bourgeat, on behalf of the AIBL Research Group Source Type: research

Design and Development of an ethnically-diverse imaging informatics-based eFolder system for multiple sclerosis patients
Multiple Sclerosis (MS) is a demyelinating disease in which the patient's central nervous system (CNS) degenerates and causes inflammation and brain and spinal atrophy. [1,2] The scarred tissues leftover from the autoimmune attacks are lesions, or plaques, in the white matter [3]. As the disease progresses, the effect on a patient's life can be devastating. Disability can continue to progress until an effective treatment regimen is developed for an individual patient to slow disease progression. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - October 22, 2015 Category: Radiology Authors: Kevin Ma, James Fernandez, Lilyana Amezcua, Alex Lerner, Mark Shiroishi, Brent Liu Source Type: research

Automated Estimation of Choroidal Thickness Distribution and Volume based on OCT Images of Posterior Visual Section
Recent advances in medical imaging allow physicians to visualize, understand and diagnose complex medical conditions. For instance, Optical Coherence Tomography (OCT) [1] enables ophthalmologists to image as well as assess pathological changes in blood vessels present in the inner walls of the posterior visual section [2]. Specifically, the choroid layer has complex vasculature, lies sandwiched between the retinal pigment epithelium (RPE) and the sclera, performs critical physiological functions [3–7], and assumes crucial role in determining various disease conditions [8–12]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - October 13, 2015 Category: Radiology Authors: Kiran Kumar Vupparaboina, Srinath Nizampatnam, Jay Chhablani, Ashutosh Richhariya, Soumya Jana Source Type: research

Regarding “Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm” By DP. Onoma,
To the editor, We read with interest the paper of Onoma, et al. regarding the development and evaluation of a novel PET image segmentation method based on a random walk algorithm and called 3D-LARW [1]. In order to evaluate 3D-LARW, it was applied to three different datasets: a physical phantom containing homogeneous spheres acquired in a single PET/CT scanner, synthetic heterogeneous tumors generated by blurring and adding noise to a manually defined ground-truth, and 14 clinical tumors (for which the surrogate of truth was provided by manual delineations carried out by two different experts). (Source: Computerized Medica...
Source: Computerized Medical Imaging and Graphics - October 8, 2015 Category: Radiology Authors: Mathieu Hatt, Dimitris Visvikis Source Type: research

Editorial board and publication information
(Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - October 1, 2015 Category: Radiology Source Type: research

Telemedicine as a special case of Machine Translation
Statistical Machine Translation (SMT) is the translation of the text by a computer, with no human involvement. SMT systems have no knowledge of language rules. Instead, they “learn” to translate by analyzing large amounts of data for each language pair. They can be trained in specific industries or disciplines using additional data relevant to the sector needed. Typically, SMT systems deliver fluent-sounding but less consistent translations. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - September 28, 2015 Category: Radiology Authors: Krzysztof Wołk, Krzysztof Marasek, Wojciech Glinkowski Source Type: research

Robust Anatomical Landmark Detection with Application to MR Brain Image Registration
Accurate matching of anatomical structures is a key step in many medical image processing and analysis tasks, e.g., deformable image registration [1–5], organ motion correction [6], and imaging biomarker identification [7–10]. For example, the goal of deformable image registration is to maximize the image similarity by spatially warping one image to another. To achieve this, accurate determination of matching structures between images is crucial. Correspondence detection can be achieved by using either image intensities or image features (e.g., SIFT [11], geometric invariant moments [12], and wavelet transformation [13...
Source: Computerized Medical Imaging and Graphics - September 21, 2015 Category: Radiology Authors: Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen Source Type: research

A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning
Optical coherence tomography (OCT) is an imaging modality based on the technology of low-coherence interferometry. This technology has many similarities with ultrasound imaging, but instead of sound, it uses the scattering of electromagnetic radiation as the signal source. Intravascular optical coherence tomography (IV-OCT) is an in-vivo application of OCT based on the introduction of an intravascular catheter for viewing the inner wall of blood vessels. IV-OCT has many advantages over other modalities such as intravascular ultrasound, due to a superior resolution of 10μm to 20μm, which allows the visualization of tissue...
Source: Computerized Medical Imaging and Graphics - September 19, 2015 Category: Radiology Authors: Maysa M.G. Macedo, Welingson V.N. Guimarães, Micheli Z. Galon, Celso K. Takimura, Pedro A. Lemos, Marco Antonio Gutierrez Source Type: research

Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?
Patients suffering from chronic liver diseases are at a severe risk from complications such as hepatocellular carcinoma (HCC) and liver failure [1]. In the diagnosis and therapeutic assessment of cirrhosis of the liver and chronic hepatitis, it is necessary to stage the degree of hepatic fibrosis as an important indicator of cirrhosis as well as a critical predictive factor for the occurrence of HCC [2], which is one of the most common malignancies in patients that are affected by these diseases [3]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - September 17, 2015 Category: Radiology Authors: Zhang Xuejun, Xin Gao, Brent J. Liu, Kevin Ma, Wen Yan, Long Liling, Huang Yuhong, Hiroshi Fujita Source Type: research

A Fully Automatic Computer Aided Diagnosis System for Peripheral Zone Prostate Cancer Detection using multi-parametric Magnetic Resonance Imaging
Multiparametric magnetic resonance imaging (mp-MRI) combines morphological and functional information and is being increasingly used to detect cancer. One of the most promising applications of mp-MRI is to detect prostate cancer (PCa) [1–3]. Current indications of mp-MRI include patients with rising levels of prostatic-specific-antigen (PSA) after one or more negative transrectal ultrasound guided (TRUS) biopsies [4,5]. One good reason why mp-MRI has not yet progressed to becoming a front-line imaging modality to detect PCa is because it is a labour-intensive examination and has a steep learning curve. (Source: Computeri...
Source: Computerized Medical Imaging and Graphics - September 11, 2015 Category: Radiology Authors: Valentina Giannini, Simone Mazzetti, Anna Vignati, Filippo Russo, Enrico Bollito, Francesco Porpiglia, Michele Stasi, Daniele Regge Source Type: research

Medical image computing in diagnosis and intervention of spinal diseases
Spinal image analysis and computer assisted intervention have emerged as new and independent research areas, due to the importance of treatment of spinal diseases, increasing availability of spinal imaging, and advances in analytics and navigation tools. Among others, multiple modality spinal image analysis and spinal navigation tools have emerged as two keys in this new area. We believe that further focused research in these two areas will lead to a much more efficient and accelerated research path, avoiding detours that exist in other applications, such as in brain and heart. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - August 29, 2015 Category: Radiology Authors: Guoyan Zheng, Shuo Li Source Type: research

Automatic white matter lesion segmentation using contrast enhanced Flair intensity and Markov Random Field
White matter lesions (WMLs) have been associated with various diseases such as stroke [1], alzheimer's disease [2,3], late life depression [4] and impairment of gait [5] etc. Different studies have shown a strong relationship between increased WMLs volume and cognitive decline [6,7]. Magnetic resonance imaging (MRI) is used for the visualization of WMLs. WMLs appear as hyperintense signal in T2-weighted and fluid attenuated inversion recovery (FLAIR) MRI images. Manual segmentation and quantification of white matter lesion is time consuming, expensive, subjective and impractical for large scale longitudinal studies. (Sourc...
Source: Computerized Medical Imaging and Graphics - August 28, 2015 Category: Radiology Authors: Pallab Kanti Roy, Alauddin Bhuiyan, Andrew Janke, Patricia M. Desmond, Tien Yin Wong, Walter P Abhayaratna, Kotagiri Ramamohanarao Source Type: research

Automated contrast medium monitoring system for computed tomography – Intra-institutional audit
Iodinated contrast media (CM) are the most widely consumed drugs by hospitals in imaging procedures around the world. As other pharmaceutical products, iodinated CM are not completely devoid of risk and may therefore be associated with adverse reactions, which can be classified as non-renal and renal [1]. Non-renal adverse reactions (incidence 0.5–1% [2–4]) are CM dose-independent and can be classified as acute (occurring within 1h of CM administration), late (occurring 1h to 1 week after CM administration) and very late (occurring more than 1 week after CM administration) [1]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - August 26, 2015 Category: Radiology Authors: Dario Luca Lauretti, Emanuele Neri, Lorenzo Faggioni, Fabio Paolicchi, Davide Caramella, Carlo Bartolozzi Source Type: research

Automated contrast medium monitoring system for Computed Tomography - Intra-institutional audit
Iodinated contrast media (CM) are the most widely consumed drugs by hospitals in imaging procedures [COMMENT #2, REVIEWER #4] around the world. As other pharmaceutical products, iodinated CM are not completely devoid of risk and may therefore be associated with adverse reactions, which can be classified as non-renal and renal [1]. Non-renal adverse reactions (incidence 0.5-1% [2–4]) are CM dose-independent and can be classified as acute (occurring within 1hour of CM administration), late (occurring 1hour to 1 week after CM administration) and very late (occurring more than 1 week after CM administration) [1]. (Source: Co...
Source: Computerized Medical Imaging and Graphics - August 26, 2015 Category: Radiology Authors: Dario Luca Lauretti, Emanuele Neri, Lorenzo Faggioni, Fabio Paolicchi, Davide Caramella, Carlo Bartolozzi Source Type: research