Perceptual coding of images for halftone display.

We present a new technique for coding gray-scale images for facsimile transmission and printing on a laser printer. We use a gray-scale image encoder so that it is only at the receiver that the image is converted to a binary pattern and printed. The conventional approach is to transmit the image in halftoned form, using entropy coding (e.

Perceptual coding of images for halftone display.

The authors present a new technique for coding gray-scale images for facsimile transmission and printing on a laser printer. They use a gray-scale image encoder so that it is only at the receiver that the image is converted to a binary pattern and printed. The conventional approach is to transmit the image in halftoned form, using entropy coding (e.

A robust backpropagation learning algorithm for function approximation.

The backpropagation (BP) algorithm allows multilayer feedforward neural networks to learn input-output mappings from training samples. Due to the nonlinear modeling power of such networks, the learned mapping may interpolate all the training points. When erroneous training data are employed, the learned mapping can oscillate badly between data points.

Dynamic focusing in ultrasound hyperthermia treatments using implantable hydrophone arrays.

A prototype 16-element needle hydrophone array has been designed, fabricated and characterized. The primary use of this array is to provide acoustic feedback during ultrasound hyperthermia treatments. This feedback can be used to compensate for patient motion and tissue inhomogeneities by controlling the phased array driving patterns.

Thin-film, flat-panel, composite imagers for projection and tomographic imaging.

The recent development of large-area, flat-panel a-Si:H imaging arrays is generally expected to lead to real-time diagnostic and megavoltage X-ray projection imagers with film-cassette-like profiles. While such flat-panel imagers offer numerous advantages over existing fluoroscopic and radiographic imaging devices, the unique properties of the arrays also offer the prospect of detector configurations not previously possible with other real-time technologies. The thin, highly uniform profile of the arrays allows the creation of composite imaging devices in which a flat-panel detector overlies a second imaging detector.

Penalized weighted least-squares image reconstruction for positron emission tomography.

Presents an image reconstruction method for positron-emission tomography (PET) based on a penalized, weighted least-squares (PWLS) objective. For PET measurements that are precorrected for accidental coincidences, the author argues statistically that a least-squares objective function is as appropriate, if not more so, than the popular Poisson likelihood objective. The author proposes a simple data-based method for determining the weights that accounts for attenuation and detector efficiency.

Model-based estimation with boundary side information or boundary regularization [cardiac emission CT].

The authors have previously developed a model-based strategy for joint estimation of myocardial perfusion and boundaries using ECT (emission computed tomography). They have also reported difficulties with boundary estimation in low contrast and low count rate situations. Here they propose using boundary side information (obtainable from high resolution MRI and CT images) or boundary regularization to improve both perfusion and boundary estimation in these situations.

Model-based estimation for dynamic cardiac studies using ECT.

The authors develop a strategy for joint estimation of physiological parameters and myocardial boundaries using ECT (emission computed tomography). They construct an observation model to relate parameters of interest to the projection data and to account for limited ECT system resolution and measurement noise. The authors then use a maximum likelihood (ML) estimator to jointly estimate all the parameters directly from the projection data without reconstruction of intermediate images.

Optimization of MRI protocols and pulse sequence parameters for eigenimage filtering.

The eigenimage filter generates a composite image in which a desired feature is segmented from interfering features. The signal-to-noise ratio (SNR) of the eigenimage equals its contrast-to-noise ratio (CNR) and is directly proportional to the dissimilarity between the desired and interfering features. Since image gray levels are analytical functions of magnetic resonance imaging (MRI) parameters, it is possible to maximize this dissimilarity by optimizing these parameters.

A fast algorithm for backprojection with linear interpolation.

In the filtered backprojection procedure for image reconstruction from projections, backprojection dominates the computation time. A simple algorithm that reduces the number of multiplications in linear interpolation and backprojection stage by 50%, with a small increase in the number of additions, is proposed. The algorithm performs the interpolation and backprojection of four views together.

Time-frequency distribution inversion of the Radon transform [image reconstruction].

In using filtered backprojection to compute the inverse Radon transform, the ramp filter amplifies noise. Spatially invariant noise filters reduce resolution. It is desirable to filter noise where projections have no local high-frequency components.

Blocked element compensation in phased array imaging.

In clinical applications using large apertures, a significant number of phased array elements may be blocked due to discontinuous acoustic windows into the body. These blocked elements produce undesired beamforming artifacts, degrading spatial and contrast resolution. To minimize these artifacts, an algorithm using multiple receive beams and the total-least-squares method is proposed.

Polynomial modeling and reduction of RF body coil spatial inhomogeneity in MRI.

The usefulness of statistical clustering algorithms developed for automatic segmentation of lesions and organs in magnetic resonance imaging (MRI) intensity data sets suffers from spatial nonstationarities introduced into the data sets by the acquisition instrumentation. The major intensity inhomogeneity in MRI is caused by variations in the B1-field of the radio frequency (RF) coil. A three-step method was developed to model and then reduce the effect.

Homonuclear broad-band-decoupled chemical shift imaging by singular value decomposition with optimization.

The conventional viewpoint of localized NMR spectroscopy is to acquire spectral information through time-domain data, while leaving spatial information to phase encoding by incremental magnetic field gradients. A second viewpoint, much less frequently used, places the emphasis on the acquisition of spatially well-resolved images by conventional means, leaving the chemical shift segregation through phase encoding in the incremental t(1) period (in a 2-DNMR parlance). The feasibility and practicality of the second viewpoint are demonstrated by implementation of a modified version of the SLIM technique, which was originally designed for the first viewpoint, using simulated and real phantom data with optimization of the t(1)-encoding parameters.

Acceleration and filtering in the generalized Landweber iteration using a variable shaping matrix.

The generalized Landweber iteration with a variable shaping matrix is used to solve the large linear system of equations arising in the image reconstruction problem of emission tomography. The method is based on the property that once a spatial frequency image component is almost recovered within in in the generalized Landweber iteration, this component will still stay within in during subsequent iterations with a different shaping matrix, as long as this shaping matrix satisfies the convergence criterion for the component. Two different shaping matrices are used: the first recovers low-frequency image components; and the second may be used either to accelerate the reconstruction of high-frequency image components, or to attenuate these components to filter the image.

Matched filter estimation of serial blood vessel diameters from video images.

A method for making a contiguous series of blood vessel diameter estimates from digitized images is proposed. It makes use of a vessel intensity profile model based on the vessel geometry and the physics of the imaging process, providing estimates of far greater accuracy than previously obtained. A variety of techniques are used to reduce the computational demand.

Preconditioning methods for improved convergence rates in iterative reconstructions.

Because of the characteristics of the tomographic inversion problem, iterative reconstruction techniques often suffer from poor convergence rates-especially at high spatial frequencies. By using preconditioning methods, the convergence properties of most iterative methods can be greatly enhanced without changing their ultimate solution. To increase reconstruction speed, spatially invariant preconditioning filters that can be designed using the tomographic system response and implemented using 2-D frequency-domain filtering techniques have been applied.

Spatially invariant image sequences.

The authors define linearly additive spatially invariant image sequences and present an explicit mathematical model for describing them. In such a sequence, all objects are positionally invariant in each image of the sequence but have varying gray-scale contributions to the successive images of the sequence. The various components (features or processes) of the scene or object contribute additively to each image of the sequence, but each component has a characteristic variation (signature) from image to image due to the variation of the function, parameter or spectral band over the sequence.

Correlation-based aberration correction in the presence of inoperable elements.

Estimation of phase aberrations using correlation processing between neighboring elements in a phased array is explored in the presence of inoperable elements. Using a CORDIC-based implementation of a complex baseband correlator, inactive elements can be identified simultaneous with correlation processing. Following detection of inoperable elements, a simple rerouting of the adaptive beam former is used to eliminate these elements from correlation analysis.

A new filter design technique for coded excitation systems.

To increase range resolution and produce acceptable range sidelobe levels, filtering techniques rather than direct complex correlation are applied in coded excitation systems. A filter design technique based on both peak sidelobe levels and minimum sidelobe energy criteria is developed. In comparison to a classic inverse filter, this approach reduces sidelobe levels under a prespecified threshold.

Efficient synthetic aperture imaging from a circular aperture with possible application to catheter-based imaging.

Phased-array imaging, including complete dynamic focus, is explored for imaging using a circular aperture. Based on the constraints of catheter-based systems, an efficient synthetic aperture method has been developed for imaging using a single wire connection between the imaging array and external electronics. The method employs a highly sampled array with an element pitch small compared to the acoustic wavelength.

Crosstalk reduction with a micromachined diaphragm structure for integrated ultrasound transducer arrays.

Crosstalk reduction in a polyvinylidene fluoride (PVDF) integrated ultrasound transducer array with a micromachined diaphragm structure is reported. Three sets of linear arrays with nine 1 mmx1 mm elements on dielectric diaphragms have been made. They were fabricated with (1) a solid substrate, (2) a single large diaphragm window underneath the entire array, and (3) a small diaphragm window (SW) for each array element.

Acceleration of Landweber-type algorithms by suppression of projection on the maximum singular vector.

A procedure that speeds up convergence during the initial stage (the first 100 forward and backward projections) of Landweber-type algorithms, for iterative image reconstruction for positron emission tomography (PET), which include the Landweber, generalized Landweber, and steepest descent algorithms, is discussed. The procedure first identifies the singular vector associated with the maximum singular value of the PET system matrix, and then suppresses projection of the data on this singular vector after a single Landweber iteration. It is shown that typical PET system matrices have a significant gap between their two largest singular values; hence, this suppression allows larger gains in subsequent iterations, speeding up convergence by roughly a factor of three.

A regularized deconvolution-fitting method for Compton-scatter correction in SPECT.

A method is presented for estimating the Compton-scatter component within the photopeak for local energy spectra measured by an Anger camera in SPECT. Assuming that the measured energy spectrum is the source scatter energy distribution convolved with a known camera energy-resolution function plus an unscattered spectral component, a least-square inverse operation is performed to recover the source scatter distribution. Since this inverse operation is ill-posed, the regularization technique is applied for stabilization.

A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequences.

The performance of the eigenimage filter is compared with those of several other filters as applied to magnetic resonance image (MRI) scene sequences for image enhancement and segmentation. Comparisons are made with principal component analysis, matched, modified-matched, maximum contrast, target point, ratio, log-ratio, and angle image filters. Signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), segmentation of a desired feature (SDF), and correction for partial volume averaging effects (CPV) are used as performance measures.