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123I-DaTSCAN imaging studies have shown the ability to detect loss of striatal dopamine transporters. Aim of this work is to evaluate whether mathematical approach of striatum imaging data by Matlab program processing can differentiate between parkinsonian syndromes, of various stages, and essential tremor, and thus increase diagnostic accuracy. The extraction of parameters by digitized processing...
We proposed a color video generation method for spatio-temporal high resolution video imaging in dark conditions. The method (dual resolutions and exposures(DRE) method) consists of a high sensitive imaging with employing long time exposure and a subsequent spatio-temporal decomposition process which suppresses a motion blur caused by the long time exposure. Imaging step captures RGB color video sequences...
Mathematical models of human observers for detection tasks are of interest in medical imaging analysis, but current model observers have limitations related to reliability and task range. We previously introduced a visual-search (VS) model for predicting human-observer performance at detection-localization tasks in PET and SPECT. With this model, a holistic search locates suspicious image blobs, which...
This paper presents an adaptive angular sampling approach developed for SPECT systems that require the rotation of the detection system to obtain an adequate angular sampling. The basic idea of the approach is to assign different imaging times across possible sampling angles, based on the efficiency of the camera(s) at each possible angle for collecting imaging information. In this study, we used...
We use task-driven measures of image quality to optimize collimator properties in SPECT. We apply ideal observers to the following tasks: detection and localization, detection with signal location known, detection with signal location unknown and detection performance averaged over known signal locations. The ideal observer yields the best performance amongst other observers for the chosen task. The...
Methods of scientific imaging and image analysis have become pervasive in a great variety of fields, including the properties of porous media. To study the large-scale morphological properties of porous media, high resolution random (Monte Carlo) samples are required. The purpose of this paper is to propose a novel approach for the statistical synthesis of scientific images, based on the concept of...
This paper proposes an edge-adaptive interpolation algorithm for Super-resolution reconstruction. The objective is to recover high-resolution image from low-resolution image. At first, from a low-resolution image, a high-resolution image is formed by bilinear interpolation and its edges are detected. Then, the edge of the original high-resolution image is refined by two approaches: the first is based...
In order to enhance the resolution of Charge Coupled Device (CCD) pixel with the pixel dimension and focal length of optical system unchanged, the problem of CCD geometric superresolution is educed. The problem is discussed in terms of software and hardware. In software, the bicubic interpolation is introduced, while in hardware, the subpixel imaging method is utilized. The subpixel imaging method...
For medical imaging applications the emphasis is generally put on obtaining high resolution and low dose images of samples or patients. All this features can be covered by using the single photon counting devices like Medipix and advanced techniques of image reconstruction. In case that intra-operative approach is advantageous, like in direct observation of dental implants, also the size of the imaging...
In this work, we apply the UNFOLD technique to a hybrid 3D-EPI sequence in order to accelerate image acquisition for fMRI studies. UNFOLD is used in the 3D slice encoding direction which directly doubles the temporal resolution. Combining UNFOLD with Partial Fourier acqusition further reduces the acquisition time for a whole brain volume from 2.4 seconds to 1 seconds. The sequence was tested on healthy...
We propose a color video generation method for spatio-temporal high-resolution video imaging in dark conditions. The proposed method consists of two steps. First, RGB-separated video sequences with different spatio-temporal resolution sets are captured to increase the amount of captured light. Second, a high spatio-temporal resolution color video is reconstructed from those input video sequences in...
Many infrared optical systems in wide-ranging applications such as surveillance and security frequently require large fields of view. Often this necessitates a focal plane array (FPA) with a large number of pixels, which, in general, is very expensive. In this paper, we propose a method for increasing the field of view without increasing the pixel resolution of the FPA by superimposing the multiple...
Integral imaging (II) is a three-dimensional (3D) imaging technique that can record and display a 3D scene using a lenslet array or a pinhole array. In this paper, we research on low-resolution of computational reconstructed 3D images and propose a method of improving visual quality of computational II reconstructed images. The proposed method extracts pixels block from each elemental image, and then...
We present a high resolution method for spotlight mode SAR imaging that utilizes pole/residue modeling of projected target reflectivity density function and tomographic reconstruction. Utilization of a matrix pencil method (MPM) allows super resolution to be achieved in range for a single imaging angle. Hence the quality of the image reconstructed is also improved. It is shown that the method is very...
A three-dimensional image retrieval method from a compound-eye image degraded by low-resolution sampling and defocusing is proposed. The three-dimensional profile of a target object is acquired from parallax images captured by a compound-eye imaging system. The compound-eye imaging is modeled by ray tracing to relate the pixels on the three-dimensional surface of the object to the pixels of an image...
In the field of superresolution (SR) imaging, most attention has been paid to reconstruction algorithm, but this kind of passive SR imaging technique with heavy computational cost and registration error cannot satisfy some realtime applications. Here we emphasize on active SR imaging technique and the warping and blurring between successive low resolution image frames are accurately controlled to...
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