Supplemental data archive for the Multi-Channel CT Reconstruction (MCR) Toolkit

Public

  • The MCR Toolkit (https://gitlab.oit.duke.edu/dpc18/mcr-toolkit-public) has evolved over nearly a decade, first to address unique challenges associated with in vivo preclinical micro-CT, and now to support translation of advances in CT reconstruction between the preclinical and clinical domains. As the name suggests, the Toolkit specializes in solving "multi-channel" reconstruction problems: multi-energy (ME) CT (dual-energy, photon-counting), dynamic time-resolved (TR) CT (cardiac, perfusion), and combined multi-energy and time-resolved (METR) CT. The Toolkit strives to balance the computational demands of multi-channel reconstruction problems against the need for numerically robust denoising and reconstruction operators required to solve real-world problems. This archive contains supplemental data required to run the demos outlined in the "run_demo.m" MATLAB script included in the Toolkit's root directory. ... [Read More]

Total Size
14 files (14.3 GB)
Data Citation
  • Clark, D. P. and Badea, C. T. (2022). Supplemental data archive for the Multi-Channel CT Reconstruction (MCR) Toolkit. Duke Research Data Repository. https://doi.org/10.7924/r45m6cs1f
DOI
  • 10.7924/r45m6cs1f
Publication Date
ARK
  • ark:/87924/r45m6cs1f
Affiliation
Type
Related Materials
Funding Agency
  • National Cancer Institute
  • National Institute of Biomedical Imaging and Bioengineering
  • National Institute on Aging
  • National Institutes of Health
Grant Number
  • NIH NIA RF1AG070149, supplement RF1AG070149-01S1
  • NIH NCI U24CA220245
  • NIH NIBIB R01EB001838, P41EB028744
Contact
Title
  • Supplemental data archive for the Multi-Channel CT Reconstruction (MCR) Toolkit
This Dataset
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