The topic of High Performance Medical Image Computing for Image-Assisted Clinical Intervention and Decision-Making is central for imaging informatics, since the amount and complexity of imaging data continues to grow as new modalities are added to the radiological repertoire in an increasingly distributed (and often cloud-computing) environment. This top ic was the subject of the 2010 High Perf...

Optical coherence tomography (OCT) is an emerging technology for micron-scale cross-sectional imaging of biological tissue [1, 2]. Enhancing the resolution of OCT images continues to be a very active field of research. The longitudinal resolution in OCT images is inversely proportional to the optical bandwidth and proportional to the square of the center wavelength of the light source. Ultrahig...

We introduce machine learning techniques, more specifically kernel methods, and show how they can be used for medical imaging. After a tutorial presentation of machine learning concepts and tools, including Support Vector Machine (SVM), kernel ridge regression and kernel PCA, we present an application of these tools to the prediction of Computed Tomography (CT) images based on Magnetic Resonanc...

Over the past century technology has played a decisive role in defining, driving, and reinventing procedures, devices, and pharmaceuticals in healthcare. Cloud computing has been introduced only recently but is already one of the major topics of discussion in research and clinical settings. The provision of extensive, easily accessible, and reconfigurable resources such as virtual systems, plat...

Biomedical images of the human body are an invaluable source of information that clinicians can use in order to make a correct and final diagnosis. Computer-aided diagnosis (CAD) is used by radiologists as a second opinion has become one of the major research areas in medical imaging. The computer assisted diagnosis need not be comparable to that of physicians, but is surely complementary. PACS...

Cameras embedded in consumer devices have previously been used as physiological information sensors. The waveform of the photoplethysmographic image (PPGi) signals may be significantly affected by the light spectra and intensity. The purpose of this paper is to evaluate the performance of PPGi waveform acquisition in the red, green, and blue channels using a commercial camera in different light...

The Customer objectives, Application and Functional views are described. The radiology department and the radiologist are the main customer. The clinical and the financial context of the radiology department is shown. The medical imaging workstation is positioned in the field of IT products and in the clinical workflow. The market segmentation is shown. The typical URF examination is explained....

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Fuzzy sets theory is of great interest in medical image processing, for dealing with imprecise information and knowledge. It provides a consistent mathematical framework for knowledge representation, information modeling at different levels, fusion of heterogeneous information, reasoning and decision making. In this chapter, we provide an overview of the potential of this theory in medical imag...