Computerized Medical Imaging and Graphics 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.

Real-time computer-generated integral imaging and 3D image calibration for augmented reality surgical navigation
Augmented reality (AR) based surgical navigation allows virtual organs overlaid on real organs to provide surgeons with an immersive visualized surgical environment. Compared with virtual reality based surgical navigation where a flat 2D monitor is used to display a virtual surgical scene, AR navigation where a virtual surgical scene is further registered to reality could provide enhanced realism and more intuitive information for surgical guidance [1]. There are three types of AR visualization technologies in the current surgical navigation systems: video-based display [2–6], see-through display [7,8], and projection ba...
Source: Computerized Medical Imaging and Graphics - November 17, 2014 Category: Radiology Authors: Junchen Wang, Hideyuki Suenaga, Hongen Liao, Kazuto Hoshi, Liangjing Yang, Etsuko Kobayashi, Ichiro Sakuma Source Type: research

Real-time computer-generated integral imaging and 3D imagecalibration for augmented reality surgical navigation
Augmented reality (AR) based surgical navigation allows virtual organs overlaid on real organs to provide surgeons with an immersive visualized surgical environment. Compared with virtual reality based surgical navigation where a flat 2D monitor is used to display a virtual surgical scene, AR navigation where a virtual surgical scene is further registered to reality could provide enhanced realism and more intuitive information for surgical guidance [1]. There are three types of AR visualization technologies in the current surgical navigation systems: video-based display [2–6], see-through display [7,8], and projection ba...
Source: Computerized Medical Imaging and Graphics - November 17, 2014 Category: Radiology Authors: Junchen Wang, Hideyuki Suenaga, Hongen Liao, Kazuto Hoshi, Liangjing Yang, Etsuko Kobayashi, Ichiro Sakuma Source Type: research

A physically based trunk soft tissue modeling for scoliosis surgery planning systems
One of the major concerns of scoliotic patients undergoing spinal correction surgery is the trunk's external appearance after the surgery. This paper presents an novel incremental approach for simulating postoperative trunk shape in scoliosis surgery. Preoperative and postoperative trunk shapes data were obtained using three-dimensional medical imaging techniques for seven patients with adolescent idiopathic scoliosis. Results of qualitative and quantitative evaluations, based on the comparison of the simulated and actual postoperative trunk surfaces, showed an adequate accuracy of the method. (Source: Computerized Medical...
Source: Computerized Medical Imaging and Graphics - November 15, 2014 Category: Radiology Authors: K.C. Assi, S. Grenier, S. Parent, H. Labelle, F. Cheriet Source Type: research

Acceleration of MAP-EM Algorithm via Over-Relaxation
In emission tomography, such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT), statistical reconstructions outperform FBP (filtered back-projection) [1], because of their ability to model noise, system geometry and imaging physics, in addition to incorporating prior information that is related to the object. One of the most widely used statistical reconstruction methods is the ML-EM (maximum likelihood expectation-maximization) algorithm [2]. The ML-EM algorithm is hampered by its slow convergence rate and has difficulty with the ill-condition problem [3]. (Source: Computerized M...
Source: Computerized Medical Imaging and Graphics - November 15, 2014 Category: Radiology Authors: Yu-Jung Tsai, Hsuan-Ming Huang, Yu-Hua Fang, Shi-Ing Chang, Ing-Tsung Hsiao Source Type: research

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Source: Computerized Medical Imaging and Graphics - November 14, 2014 Category: Radiology Source Type: research

Selective Invocation of Shape Priors for Deformable Segmentation and Morphologic Classification of Prostate Cancer Tissue Microarrays
Active Contours (AC) can be categorized as boundary-based (first generation) and region-based (second generation) schemes [20,3,5]. Most AC models are not intrinsically capable of handling object occlusion or scene clutter. Therefore, the integration of shape priors into the variational formulation represents a natural way to overcome occlusion. Third generation (hybrid) AC models involve combining a shape prior with geometric/geodesic active contours that simultaneously achieves registration and segmentation [21,26,4]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - November 11, 2014 Category: Radiology Authors: Sahirzeeshan Ali, Robert Veltri, Jonathan A. Epstein, Christhunesa Christudass, Anant Madabhushi Source Type: research

3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach
Glioma tumor could be considered as a primary malignant brain tumor that could seriously threaten an important number of patients, with a survival prognosis not exceeding one year for high-grade glioma [1,2]. Such tumors are often accompanied with peritumoral edema, which corresponds to an extensive perifocal swelling [3]. Magnetic Resonance Imaging (MRI) is the main modality for evaluating the pathological regions. Segmenting precisely the tumor and edema regions in MRI is, therefore, an essential pre-processing task towards thorough and reproducible diagnosis of brain tumors. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - October 28, 2014 Category: Radiology Authors: Ines Njeh, Lamia Sallemi, Ismail Ben Ayed, Khalil Chtourou, Stephane Lehericy, Damien Galanaud, Ahmed Ben Hamida Source Type: research

A robust and fast approach to simulating the behavior of guidewire in vascular interventional radiology
It is well known that cardiovascular disease is the leading cause of deaths worldwide. Interventional radiology (IR) is widely used in the treatment of most cardiovascular disease. With fluoroscopic guidance, physicians can percutaneously insert flexible instruments (such as guidewire, stent, or catheter) into the patient's blood vessel and, from outside the body, manipulate these instruments through the vascular network until reaching the diseased position. Due to the complexity of the vascular network and the counter-intuitive movement of the instruments, performing an IR procedure is difficult, manipulating instruments ...
Source: Computerized Medical Imaging and Graphics - October 28, 2014 Category: Radiology Authors: Haoyu Wang, Jianhuang Wu, Mingqiang Wei, Xin Ma Source Type: research

Digital Reconstruction of High-quality Daily 4D Cone-beam CT Images Using Prior Knowledge of Anatomy and Respiratory Motion
In radiation therapy, it is well known that patient anatomy can undergo significant changes, such as tumor shrinkage or expansion and weight loss, from the simulation phase to the delivery of radiation beam. Apparently, those changes cannot be fully compensated by rigid image alignment. Therefore, image guidance on a regular basis is critical to monitoring anatomic changes during the course of treatment. Although routine assessment of patient anatomy can generally be achieved using conventional CT, the advent of in-room cone-beam computed tomography (CBCT) [1–4] provides an accurate representation of patient anatomy prio...
Source: Computerized Medical Imaging and Graphics - October 28, 2014 Category: Radiology Authors: Yongbin Zhang, Jinzhong Yang, Lifei Zhang, Laurence E. Court, Song Gao, Peter A. Balter, Lei Dong Source Type: research

Review of automatic pulmonary lobe segmentation methods from CT
The human lung is divided into five functional regions, known as the pulmonary lobes. The identification of these lobes has important applications in disease assessment and treatment planning. Many lung diseases act at a lobar level. For example, emphysema [1], postprimary tuberculosis [2] and silicosis [3] usually affect the upper lobes, while idiopathic pulmonary fibrosis is commonly associated with the lower lobes [4]. Measuring lung disease at a lobar level is therefore of great clinical importance for phenotyping disease and assessing its severity. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - October 28, 2014 Category: Radiology Authors: Tom Doel, David J. Gavaghan, Vicente Grau Source Type: research

3D Multimodal MRI Brain Glioma Tumor and Edema Segmentation: AGraph Cut Distribution Matching Approach
This study investigates a fast distribution-matching, data-driven algorithm for 3D multimodal MRI brain glioma tumor and edema segmentation in different modalities. From a very simple user input, we learn non-parametric model distributions which characterize the normal regions in the current data. Then, we state our segmentation problems as the optimization of several cost functions of the same form, each containing two terms: (i) a distribution matching prior, which evaluates a global similarity between distributions, and (ii) a smoothness prior to avoid the occurrence of small, isolated regions in the solution. (Source: ...
Source: Computerized Medical Imaging and Graphics - October 28, 2014 Category: Radiology Authors: Ines Njeh, Lamia sallemi, Ismail Ben ayed, Khalil Chtourou, Stephane Lehericy, Damien Galanaud, Ahmed Ben Hamida Source Type: research

Interactive 3D medical data cutting using closed curve with arbitrary shape
Volume clipping is typically used in visualizing medical data, preparing surgical plans and processing images, because it conveniently clips away selected parts of volume data. Volume clipping is also a useful approach in exploring the interior details of volume data [1]. Accurate volume data clipping can meet users’ requirements to design more complicated volume model by cutting and pasting existing volume data [2]. Combined with image segmentation algorithms, clipping operation can be used as a pre-processing step to extract region of interest (ROI) in volume images, such as tumor organizations or important brain funct...
Source: Computerized Medical Imaging and Graphics - October 25, 2014 Category: Radiology Authors: Hai Ning, Rongqian Yang, Amin Ma, Xiaoming Wu Source Type: research

Fourier-Ring Descriptor to Characterize Rare Circulating Cells from Images Generated Using Immunofluorescence Microscopy
Counts of circulating tumor cells (CTCs) have been correlated with outcomes in patients with tumors of epithelial origin including breast cancer, colorectal cancer, non-small cell lung cancer, and prostate cancer [1–5]. For these reasons, research has grown over the last decade. Clinically useful CTC counts have almost exclusively been generated using CellSearchTM[6], which is an FDA approved enumeration method that relies on sample enrichment prior to analysis. Recent research has shown, however, that enrichment prior to analysis results in lower counts of CTCs and the potential loss of entire classes of disease-derived...
Source: Computerized Medical Imaging and Graphics - October 22, 2014 Category: Radiology Authors: Tegan Emerson, Michael Kirby, Kelly Bethel, Anand Kolatkar, Madelyn Luttgen, Stephen O’Hara, Paul Newton, Peter Kuhn Source Type: research

Image Fusion of Ultrasound Computer Tomography Volumes with X-Ray Mammograms using a Biomechanical Model Based 2D/3D Registration
Breast cancer is still one of the most common cancer among women in both the developed and developing countries [1]. Early detection of cancer before a metastatic spread is key to survival [2]. Besides palpation, the method of choice for early breast cancer diagnosis is medical imaging. Currently X-Ray mammography is the standard technology used in screening. It provides high resolution projection images of the breast and is broadly available. However, mammography frequently provides poor contrast for tumors located in glandular tissue as both tissues have similar density, limiting the sensitivity in dense breasts [3]. (So...
Source: Computerized Medical Imaging and Graphics - October 18, 2014 Category: Radiology Authors: T. Hopp, N. Duric, N.V. Ruiter Source Type: research

A New Classifier Fusion Method based on Historical and On-line Classification Reliability for Recognizing Common CT Imaging Signs of Lung Diseases
CT technology developed quickly from the conventional single-slice acquisitions to volume acquisition with multi-slice, hence, it contains more and more image information and can highlight the density difference between the normal and diseased lungs [1]. However, it is time-consuming for radiologists to identify a large number of abnormal lesions from the CT images. Therefore, the problem of recognizing lesions in lung CT images automatically for aiding radiologists in the diagnosis of lung diseases has received extensive attention in recent years. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - October 13, 2014 Category: Radiology Authors: Ling Ma, Xiabi Liu, Li Song, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao Source Type: research