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Klaus Mueller

Researcher at Stony Brook University

Publications -  297
Citations -  8807

Klaus Mueller is an academic researcher from Stony Brook University. The author has contributed to research in topics: Visualization & Iterative reconstruction. The author has an hindex of 47, co-authored 285 publications receiving 7931 citations. Previous affiliations of Klaus Mueller include State University of New York System & Bell Labs.

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Proceedings ArticleDOI

Transferring color to greyscale images

TL;DR: This approach attempts to provide a method to help minimize the amount of human labor required for this task by transferring color between a source, color image and a destination, greyscale image by matching luminance and texture information between the images.
Journal ArticleDOI

Image Reconstruction is a New Frontier of Machine Learning

TL;DR: This special issue focuses on data-driven tomographic reconstruction and covers the whole workflow of medical imaging: from tomographic raw data/features to reconstructed images and then extracted diagnostic features/readings.
Journal ArticleDOI

Accelerating popular tomographic reconstruction algorithms on commodity PC graphics hardware

TL;DR: This paper shows how the new floating point GPUs can be exploited to perform both analytical and iterative reconstruction from X-ray and functional imaging data, and decompose three popular three-dimensional (3D) reconstruction algorithms into a common set of base modules.
Journal ArticleDOI

Real-time 3D computed tomographic reconstruction using commodity graphics hardware.

TL;DR: This work presents a novel streaming CT framework that conceptualizes the reconstruction process as a steady flow of data across a computing pipeline, updating the reconstruction result immediately after the projections have been acquired.
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Conceptual design of a proton computed tomography system for applications in proton radiation therapy

TL;DR: In this article, a design study was performed to define the optimal approach to a pCT system based on specifications for applications in proton therapy, and the formation of pCT images based on the reconstruction of volume electron density maps and the suitability of analytic and statistical algorithms for image reconstruction.