@inproceedings{43a2658ba4f44b51bb5c36102a6e9c4d,
title = "Monitoring plant growth using high resolution micro-CT images",
abstract = "A multidisciplinary research conducted at the Oak Ridge National Laboratory aims at understanding the molecular controls of partitioning, transport and fate of carbon fixed by photosynthesis in plants and its correlation with other measured plant system properties. Ultimately, we intend to develop a modeling framework to assess, correlate and predict as to which spatiotemporal changes in system dynamics are key to predicting emergent properties of system. Within this research, this paper relates to the quantitative morphological imaging of the main structures forming a plant (stem, roots, and leaves), their internal sub-structures, and changes occurring overtime.",
keywords = "3D modeling, 3D segmentation, CT reconstruction, computed tomography, plant imaging, x-ray micro-CT",
author = "Paquit, {Vincent C.} and Gleason, {Shaun S.} and Kalluri, {Udaya C.}",
year = "2011",
doi = "10.1117/12.876719",
language = "English",
isbn = "9780819484147",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Image Processing",
note = "Image Processing: Machine Vision Applications IV ; Conference date: 25-01-2011 Through 27-01-2011",
}