Proceedings IEEE International Symposium on Biomedical Imaging
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Raped calculation of detectability in Bayesian SPECT
- Trang 78-81
To speed up the laborious process of optimizing and comparing SPECT imaging systems, computational methods using model observers can be used to predict human performance in the context of a lesion detection task. We address the case of SPECT images reconstructed by Bayesian MAP methods and the use of a channelized Hotelling observer (CHO) for a detection task. It is possible to write a closed-form......
#Bayesian methods #Optimization methods #Computational modeling #Context modeling #Predictive models #Humans #Lesions #Image reconstruction #Image quality #Attenuation
Bio-array images processing and genetic networks modelling
- Trang 50-53
The new tools available for gene expression studies are essentially the bio-array methods using a large variety of physical detectors (isotopes, fluorescent markers, ultrasound, ...). Here we present an image processing method independent of the detector type, dealing with the noise and with the peaks overlapping, the peaks revealing the detector activity (isotopic in the presented example), corre......
#Image processing #Genetics #Detectors #Data mining #Gene expression #Isotopes #Testing #Noise figure #Limit-cycles #Biomedical imaging
Reducing the effects of noise in MRI reconstruction
- Trang 497-500
Fourier methods are a natural choice for reconstructing magnetic resonance images (MRI). Unfortunately, however, due to the many different tissues normally present in each scan, the Gibbs ringing artifact often hinders accurate reconstruction. These effects are exacerbated in the presence of random noise, which is inherent in MRI spectral data. Recently, numerical edge detection and reconstruction......
#Noise reduction #Magnetic resonance imaging #Image reconstruction #Image edge detection #Mathematics #Noise robustness #Filtering #Frequency #Reconstruction algorithms #Image converters
Cardiac motion analysis in MRI for classification
- Trang 935-938
Our proposed technique tries to perform rapid classification to diagnose the abnormalities in human myocardium and identify the left ventricle (LV) in the analyzed tagged MR images as pathological or normal. In this work, images are first analyzed using harmonic phase (HARP) analysis and synthetic tags are computed over the myocardium. The data is normalized for shift, scale and rotation invarianc......
#Motion analysis #Magnetic resonance imaging #Myocardium #Image analysis #Harmonic analysis #Humans #Performance analysis #Pathology #Probability density function #Gaussian distribution
A small-animal imaging system based on silicon strip detectors
- Trang 533-536
We have investigated the design of a high-resolution nuclear medicine system for in vivo small-animal imaging. The system utilizes a multiple-pinhole collimator in conjunction with silicon double-sided strip detectors (DSSDs) in a synthetic collimator configuration. It is designed for detection of the low-energy photons (27-35 keV) from the decay of /sup 125/I or /sup 123/I. We discuss elements of......
#Silicon #Strips #Collimators #Animals #Nuclear medicine #In vivo #Humans #Optical imaging #X-rays #High-resolution imaging
3D tomographic reconstruction of binary images from cone beam projections: a fast level set approach
- Trang 677-680
This paper addresses 3D tomographic reconstruction of a binary image from a small number of cone-beam projections. Under the binary hypothesis, the object may be conveniently represented by its surfaces, and the reconstruction problem solved using active contour methods. To handle complex topologies, we formalize the problem in the framework of level sets using implicit descriptions of object boun......
#Tomography #Image reconstruction #Level set #Surface reconstruction #Topology #X-ray imaging #Statistical analysis #Integral equations #Active contours #Biological system modeling
Comparison of 1-d and 2-d surface coil arrays for accelerated volume MR imaging using sensitivity encoding
- Trang 485-488
The sensitivity encoding (SENSE) method of parallel MR accelerated imaging is evaluated and compared for 1-d and 2-d surface coil array geometries. Accelerated MR imaging using SENSE may be applied to volume imaging using either 3-d or 2-d multi-slice acquisition strategies. For higher accelerations such as rate R=4, 3-d SENSE may be applied along either or both phase encode directions. Image qual......
#Acceleration #Coils #Geometry #Encoding #Solid modeling #Phased arrays #Heart #Lungs #Blood #Educational institutions
Automatic segmentation and tracking of vasculature from confocal scanning laser fluorescence microscope using multi-orientation dissections
- Trang 249-252
This paper describes automated techniques for segmenting, tracking and identifying the individual vessels within the vascular network of the tail of zebrafish embryo from serial images obtained from fluorescence Confocal Scanning Laser Microscope (CSLM). Our approach digitally dissects the voxel data and obtained multi-orientation serial sections along different cutting planes of the zebrafish to ......
#Fluorescence #Embryo #Image segmentation #Tail #Optical microscopy #Laser theory #Biomedical optical imaging #Image resolution #Blood vessels #Biomedical imaging
Comparison of normal and harmonic ultrasonic imaging with a multirow array
- Trang 441-444
Harmonic ultrasonic imaging is often qualitatively better in the clinical setting than normal ultrasonic imaging in the same frequency range. One possible factor in the differential image quality is the degree of aberration present in the imaged tissue. This work presents initial results of a quantitative comparison of normal and harmonic imaging in phantoms with aberration. We acquired single ele......
#Ultrasonic imaging #Frequency #Imaging phantoms #Image sampling #Acoustic beams #Velocity measurement #Shape measurement #Biomedical engineering #Biomedical imaging #Medical diagnostic imaging
Segmentation of the amygdalo-hippocampal complex by competitive region growing [MRI analysis]
- Trang 261-264
Semi-automatic segmentation of amygdala and hippocampus is of major interest to neurologists but it is a challenge to numerical image analysis techniques because of intrinsic complexity of those structures. We introduce a new method to approach this problem with Markovian region growing. As we are concerned by segmenting atrophic structures, we did not use shape priors, but constrained the growth ......
#Hippocampus #Image segmentation #Shape #Atrophy #Pathology #Magnetic resonance imaging #Image edge detection #Morphology #Deformable models #Pattern matching