Proceedings IEEE International Symposium on Biomedical Imaging
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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
3D myocardial strain strain reconstruction from tagged MRI using a cylindrical B-spline model
- Trang 609-612
In this paper, we present a new method for reconstructing 3D left ventricular myocardial strain from tagged magnetic resonance (MR) image data with a 3D B-spline deformation model. The B-spline model is based on a cylindrical coordinate system that more closely fits the morphology of the myocardium than previously proposed Cartesian B-spline models and does not require explicit regularization. Sim......
#Capacitive sensors #Myocardium #Magnetic resonance imaging #Spline #Magnetic field induced strain #Image reconstruction #Magnetic resonance #Deformable models #Morphology #Robustness
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
Ghi chú về các phương pháp đảo ngược Fourier trực tiếp và dựa trên lưới Dịch bởi AI
- Trang 645-648
Nhiều phương pháp hình ảnh, bao gồm MRI và CT, dẫn đến vấn đề tái tạo một hàm tích phân bình phương. Vấn đề tái tạo một hàm f từ phiên bản đã lấy mẫu không đều của biến đổi Fourier của nó /spl Fscr/ f có thể được giải quyết bằng các phương pháp đảo ngược Fourier trực tiếp và dựa trên lưới. Cả hai phương pháp đều yêu cầu một trọng số cho dữ liệu. Chúng tôi trình bày một chiến lược trọng số thuận lợ......
#Các phương pháp lấy mẫu #Biến đổi Fourier #Đường xoắn ốc #Chụp cắt lớp tính toán #Tái tạo hình ảnh #Mô hình hóa tính toán #Chụp cộng hưởng từ #Các ma trận Jacobian #Hội trí tuệ tính toán
Automatic segmentation of mammographic masses using fuzzy shadow and maximum-likelihood analysis
- Trang 241-244
This study attempted to accurately segment tumors in mammograms. Although this task is considered to be a preprocessing step in a computer analysis program, it plays an important role for further analysis of breast lesions. The region of interest (ROI) was segmented using the pixel aggregation and region growing techniques combined with maximum likelihood analysis. A fast segmentation algorithm ha......
#Cancer #Image databases #Radiology #Breast neoplasms #Testing #Image segmentation #Intersymbol interference #Lesions #Benign tumors #Pixel
Robust rotations between anatomical curves
- Trang 337-340
We give a method for estimating the optimal rotation between anatomical curves corrupted by segmentation noise. We formulate the energy function probabilistically and use an annealing algorithm with explicit outlier rejection to stabilize our solution. We also provide methods for a nearly symmetric estimation of the rigid transformation between three-dimensional curve pairs. We evaluate the perfor......
#Simulated annealing #Biology computing #Entropy #Noise robustness #Biomedical engineering #Radiology #Acoustic noise #Biomedical imaging #Biological control systems #Image segmentation
Mapping cortical connectivity with diffusion MRI
- Trang 392-394
Functional brain imaging methods have contributed enormously to our knowledge of the anatomic location of particular brain functions. However, there remains a significant gap in our understanding of how these regions communicate as part of a distributed network. This shortcoming is due in large part to the scarcity of information on the connectivity of the human brain compared to, for example, our......
#Magnetic resonance imaging #Tensile stress #Humans #Anatomy #Biomedical imaging #Brain #Magnetic resonance #Streaming media #Magnetic field measurement #Diffusion tensor imaging
Advances in measurements of ultrasound fields in the frequency range 20-60 MHz
- Trang 978-980
A powerful measurement technique suitable for virtually continuous calibration of ultrasonic hydrophone probes in the frequency range 250 kHz-60 MHz is described and frequency responses of PVDF polymer hydrophones are presented. The validity of the calibration results was examined using independent calibration techniques. The values of sensitivity in V/Pa obtained using a linear swept frequency te......
#Frequency measurement #Ultrasonic variables measurement #Ultrasonic imaging #Calibration #Sonar equipment #Probes #Measurement techniques #Polymers #Nonlinear wave propagation #Laboratories
Noise-adaptive anisotropic diffusion filtering of MRI images reconstructed by SENSE (sensitivity encoding) method
- Trang 701-704
SENSE (SENSitivity Encoding) imaging provides significant acquisition speedups in MRI. The main drawback of the method is that it generates images that have increased and spatially nonuniform noise levels and, hence, will often require retrospective filtering. In this paper, we show that standard anisotropic diffusion filtering, while being an effective technique for edge-preserving denoising of i......
#Anisotropic magnetoresistance #Filtering #Magnetic resonance imaging #Image reconstruction #Image coding #Noise level #Encoding #Image generation #Noise reduction #Filters
Motion analysis of echocardiograms using a local-affine, spatio-temporal model
- Trang 573-576
We present a new method for estimating heart motion from two-dimensional (2D) echocardiographic sequences. It is inspired by the Lucas-Kanade algorithm for optical flow which estimates motion parameters over a sliding window. However, instead of assuming that the motion is constant within the analysis window, we consider a model that is locally affine and can account for typical heart motions such......
#Motion analysis #Motion estimation #Heart #Parameter estimation #Spline #Two dimensional displays #Optical sensors #Image motion analysis #Least squares approximation #Gaussian processes