Accelerating computed tomographic imaging spectrometer reconstruction using a parallel algorithm exploiting spatial shift-invariance
Year: 2020
Type: article
Abstract: Computed tomographic imaging spectrometers capture hyperspectral images in realtime. However, postprocessing the imagery can require enormous computational resources; thus, limiting its application to nonrealtime scenarios. To overcome these challenges, we developed a highly parallelizable algorithm that exploits spatial shift-invariance. To demonstrate the versatility of our algorithm, we developed implementations on a desktop and an embedded graphics processing unit. To our knowledge, our results show the fastest image reconstruction times reported.
Source: Optical Engineering
Authors: Larz White, W. Bryan Bell, Ryan Haygood
Institution: Lockheed Martin (United States)
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W3029535210