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Extreme learning machine (ELM) and support vector machine (SVM) classifiers are developed to detect rales (a gurgling sound that is a symptom of respiratory diseases in poultry). These classifiers operate on Mel-scaled spectral features calculated from recordings of healthy and sick chickens during a vaccine trial. Twenty minutes of labeled data were used to train and test the classifiers, then they...
We report on the results achieved with the first SPECT insert for general purpose MR scanners, developed within the INSERT project (INtegrated SPECT/MRI for Enhanced stratification of brain tumors in Radio-chemoTherapy). The present paper focuses on the implementation and performance assessment of a preclinical version of the SPECT. A clinical configuration is currently under development and will...
A cadmium zinc telluride (CZT) based small animal positron emission tomography (PET) system is under development at the Molecular Imaging Instrumentation Laboratory (MIIL) at Stanford University (Fig. 1) [1,2]. A goal for this system is to advance the ability to detect, visualize, and quantify low concentration of molecular probes. Key technologies of this work are: (1) CZT detector technology, instead...
Spatial resolution is one of the most important performance in PET system. Higher spatial resolution can give more information about the region of interest in animal PET imaging. In this work, we implement a high resolution (approximate 0.7 mm) all digital animal PET system using improved Trans-PET detectors. The improved detector module uses 24×24 crystal array for higher intrinsic spatial resolution...
Convolutional neural networks are a popular choice for current object detection and classification systems. Their performance improves constantly but for effective training, large, hand-labeled datasets are required. We address the problem of obtaining customized, yet large enough datasets for CNN training by synthesizing them in a virtual world, thus eliminating the need for tedious human interaction...
This paper proposed about comparison of the animal recognition processed on the real world objects and the modeled 3D objects. The object classification consists of the three main steps - feature extraction, training classifier and image evaluation. Feature description is based on locale visual descriptors like SIFT or SURF. Support Vector Machine (SVM) in combination with the bags of visual keypoints...
Photographic censusing can be partly automated by leveraging the power of computer vision detection algorithms. Detecting zebras in the real world can be challenging due to varying viewpoints of the animal, natural and artificial occlusions, and overlapping animals. To address these challenges, we evaluate three detection algorithms: Hough Forests by [8], the YOLO network by [20], and Faster R-CNN...
Purpose: The primary objective of this study was to assess the performance of a preclinical micro PET/CT (ARGUS-SEDECAL) via GATE, Geant4 Application for Tomographic Emission, a virtual platform for tomographic emission simulation. Methods: By using GATE, we were able to accurately reproduce the physics of a PET scanner, including such as the instrument's parameters, and the data collecting system...
Fluorescence molecular tomography is becoming an important tool in preclinical biomedical imaging of small animals. However, the inability to perform high-throughput imaging of multiple fluorescent targets in bulk tissue remains a limitation. Recent work in our group suggests that joint measurement of spectral and temporal fluorophore data can enable robust identification (“demixing”) and localization...
Digital Silicon Photomultipliers have several advantages over their analog counterpart, such us lower after-pulsing probability, intrinsic digital conversion, reduction of system complexity, etc. In addition, multichannel digital silicon photomultipliers (MD-SiPMs) can achieve better time resolution and dark count rate immunity because of multiple time-to-digital converters on chip. In this work,...
We developed MR insertable small animal PET utilizing high resolution event positioning circuit and charge signal transmission approach. A further study will be performed to improve PET image quality by applying correction algorithms and to evaluate the performance of small animal PET mounted inside the MR bore to simultaneously acquire hybrid PET/MR images.
SiPMs-based gamma ray detectors have shown a significant development impulse in recent years due to a number of advantages, namely: good time response, small size, magnetic field immunity and low cost. We have designed a special SiPM array formed by 12×12 SiPMs of 3×3 mm2 active area (FB-30035, SensL) that covers a total photosensor area of 5×5 cm2 for gamma ray detection in PET scanners. When thick...
Recently the use of image attributes as image descriptors has drawn great attention. This is because the resulting descriptors extracted using these attributes are human understandable as well as machine readable. Although the image attributes are generally semantically meaningful, they may not be discriminative. As such, prior works often consider a discriminative learning approach that could discover...
Research on hearing often involves quantitative measures of behavioral responses to the way that sound is perceived. Experimental measures of auditory perception, in animals in particular, need robust methods for monitoring behavioral responses such as licking a water spout for a reward, or body position. Recent advances in embedded systems have provided a flexible, low-cost and reconfigurable technology:...
While helical scanning is well established in the clinical arena, most micro-CT scanners use circular cone beam trajectories and approximate reconstructions based on a filtered backprojection (FBP) algorithm. This may be sufficient for some applications, but in studies of larger animals, such as rats, the size of the detector can constrain the field of view and extend scan time. To address this problem,...
A method for reducing lost events in LOR rebinning using axially extended sinograms was evaluated in phantom and awake rat studies. The results suggest that a relatively small number of additional virtual detector rings leads to a sizeable reduction in lost events, reducing noise levels, and less affected by the blurring associated with the more simplistic SSRB approach. Although use of additional...
In this study, animal SPECT imaging functionality was developed in Nucmed Inliview 3000 PET/SPECT/CT system with an elliptical-pinhole collimator in the shared PET/SPECT ring detector. The collimator was designed to allow simultaneous PET/SPECT dual-tracer imaging. It contains 5 pinhole rings with 10 pinholes per ring. The transverse plane of pinhole was designed to be elliptical to reduce the axial...
PETiPIX is an ultra high spatial resolution small animal PET scanner designed for scanning of mouse brains. It utilises four state of the art pixellated silicon detectors, Timepix, in an edge-on configuration to provide a field of view (FoV) 15 mm in diameter. Each Timepix detector consists of 256×256 pixels, with pixel dimensions of 55µm×55µm×300µm. Monte Carlo simulations have been carried to evaluate...
Functional and anatomic imaging of small animals using PET combined with MRI has been reported to be a valuable tool in the preclinical research. The purpose of this study was to develop high resolution MR compatible PET detector along with event positioning circuit (EPC) and data acquisition system (DAQ) for small animal PET. PET detector modules consisted of a 8 × 8 array of 1.5 × 1.5 × 6 mm3 LYSO,...
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