Current trends in medical imaging algorithms and scalable platform (1).

<P> Field programmable gate array platform for scalable data collection and CPU co-processing support, making it possible to more complex imaging. .</ P> <P> medical imaging </ P> <P> medical imaging technology in the field of health care play an increasingly important role. .This is because the health care industry is trying to check out - and even predict - is still in the early stages of the disease and the implementation of non-invasive treatment, and at the same time reduce the cost of diagnosis and treatment. .Diagnostic imaging approach to integrated manner with the imaging algorithm development and progress can be combined to promote the development of new instruments to achieve these goals the main factors. .</ P> <P> order to provide the medical care industry to meet these objectives the functionality required, equipment developers are turning to scalable, business-shelf (COTS) central processing unit (CPU) platform, these platforms can support the site .programmable gate array (FPGA) for data acquisition and co-processing. .To efficiently develop flexible, scalable medical imaging equipment, equipment developers must consider several factors. .These factors include the development of imaging algorithms, the coordinated use of multiple imaging (imaging mode of integration), and platform scalability. .</ P> <P> the development of imaging algorithms need to use advanced visual modeling tool for digital signal processing algorithms for continuous improvement. .These advanced algorithms require a scalable platform that can significantly improve image processing performance. .The scalable platform should enable smaller, more portable devices can be achieved. .</ P> <P> to achieve near real-time analysis, system and software platform must (CPU) and hardware (can configure the number of logic gates) to match. .The processing platform to meet the different performance price, and must be able to cope with the differences between a variety of imaging requirements. .FPGA can be easily integrated into multi-core CPU platform, a very flexible system for the DSP processing power, to achieve the highest performance. .</ P> <P> system architecture and design engineers to quickly distinguish between the algorithms on these platforms, and then use advanced development tools and intellectual property (IP) library debug it. .This process accelerated deployment of the platform, enabling manufacturers to maximize profits. .</ P> <P> This article discusses the current trends in medical imaging algorithms, the integration of imaging mode and realize these algorithms scalable platform. .</ P> <P> algorithm development </ P> <P> from each imaging mode imaging algorithm in the beginning of the trend analysis, including consideration of how to use the FPGA and IP. .</ P> <P> magnetic resonance imaging (MRI) generates cross-sectional body images. .Using FPGA to achieve the three functions are used to reconstruct three-dimensional body from the cross-section. .First, the fast Fourier transform (FFT) generated gray 2 D slices, usually matrix, from the frequency domain data. .Then, three-dimensional reconstruction of the body involved in the interpolation between slices, to produce a similar spacing to the spacing between pixels, so you can see from any 2D image plane. .Then, the iterative resolution of sharpening. .This function uses a filter based on an iterative process of reverse space to fuzzy technology to reduce noise while in the structure be re-focus the image. .Therefore, the cross-section of the overall visual diagnostic resolution is greatly improved. .</ P> <P> ultrasound (imaging). .Ultrasound images are there is a particle known as the speckle (speckle) phenomenon. .Speckle is due to the different independent scattering material (similar to multi-channel wireless radio frequency reflections) caused by the interaction and is a double nature. .Ultrasound image can be lossy compression method to eliminate spots. .First of all, taking the logarithm of the image; speckle noise becomes additive and the effective signal. .Then, the wavelet coder JPEG2000 lossy compression to minimize noise. .</ P> <P> X-ray. .X-ray imaging of artery movement is an amendment to the heart of respiration and circulation - breathing and heart beat - to minimize the impact on the imaging algorithm. .3D + time model of the movement of the coronary artery was projected onto the 2D X-ray image, support to the distorted features (pan and zoom) --- correction of this movement and get a clearer picture of the calculations. .</ P> <P> molecular imaging. .Molecular imaging is a cellular and molecular level characterization and measurement of biological processes, the aim is to detect and capture images cellular and molecular lesions and to monitor it. .For example, you can X-ray imaging, positron emission tomography (PET) and single photon emission computed tomography calculated (SPECT) combined for the organ, cell and molecular low-resolution images of anatomical features in the resolution of the corresponding .cases as low as 0.5mm. .Trend toward smaller device more and promoting the exploration of new algorithm makes the performance of its multi-core CPU's performance, and makes these compact systems must FPGA technology. .</ P> <P> fusion imaging mode. .To achieve early diagnosis and treatment of non-invasive imaging techniques to promote the combination of, for example, PET / computed tomography (CT) systems and x-ray treatment / CT device can be seen above. .Performance requirements to meet the current need higher resolution images, which requires sophisticated geometry for micro-array detector coupled with FPGA for photonic and electronic signals to pretreatment. .After the pretreatment, these signals are combined CPU and FPGA co-processor integrated and processed to generate a detailed physical image. .</ P> <P> non-real time (NRT) image fusion or image registration, normally used in the imaging at different times of the organ arrangement of images and anatomical images were compared. .However, due to changes in patient position, scanning the basis of the different outline, and the natural movement of the internal organs of patients and other reasons, NRT is the image registration problems. .Use of FPGA in real time on PET and CT fusion images allow organ function and anatomical images were collected during the first imaging and integration, rather than superimposed over the image at a later stage. .Image fusion surgery can provide better clarity and accuracy. .</ P> <P> used to guide the doctors during surgery, including the image processing of CT or MRI prior to surgery with real-time 3D ultrasound images or X-ray image registration, to promote non-invasive treatment (such as ultrasound, magnetic resonance interference and .x-ray therapy) applications. .In this area, various algorithms are developed for the particular combination of imaging modalities and treatment to provide optimal image registration results. .</ P> <P>.