We demonstrate the use of task-based image-quality metrics to compare various photoacoustic image-reconstruction algorithms, including a method based on the pseudoinverse of the system matrix, simple backprojection, filtered backprojection, and a method based on the Fourier transform. We use a three-dimensional forward model with a linear transducer array to simulate a photoacoustic imaging sys...

We compare several approaches to estimation of Hotelling observer (HO) performance in x-ray computed tomography (CT). We consider the case where the signal of interest is small so that the reconstructed image can be restricted to a small region of interest (ROI) surrounding the signal. This reduces the dimensionality of the image covariance matrix so that direct computation of HO metrics within...

The methodology of objective assessment, which defines image quality in terms of the performance of specific observers on specific tasks of interest, is extended to temporal sequences of images with random point spread functions and applied to adaptive imaging in astronomy. The tasks considered include both detection and estimation, and the observers are the optimal linear discriminant (Hotelli...

Our purpose is to optimize penalized blockiterative algorithms for detection of Ga-67 tumors in the thorax. We illustrate some of our methods involving psychophysical studies with results from a preliminary channelized Hotelling observer (CHO) optimization for a one-steplate (OSL) version of the penalized RBI-EM algorithm that features a 3D uniform quadratic penalty function. The algorithm para...

Sections 3 and 4 present the two versions of the model, which make different The model has a continuum of voters with unit mass and two candidates, 1 and 2. ABSTRACT We consider the Hotelling–Downs model with n 3 office-seeking candidates and runoff voting. We show that Nash equilibria in pure strategies. Congyi Xiang discover inside connections to recommended job candidates, industry January 2...

The method of change (or anomaly) detection in high-dimensional discrete-time processes using a multivariate Hotelling chart is presented. We use normal random projections as a method of dimensionality reduction. We indicate diagnostic properties of the Hotelling control chart applied to data projected onto a random subspace of R. We examine the random projection method using artificial noisy i...