Smoothing fields of weighted collections with applications to diffusion MRI processing

Gunnar A. Sigurdsson, Jerry Ladd Prince

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Using modern diffusion weighted magnetic resonance imaging protocols, the orientations of multiple neuronal fiber tracts within each voxel can be estimated. Further analysis of these populations, including application of fiber tracking and tract segmentation methods, is often hindered by lack of spatial smoothness of the estimated orientations. For example, a single noisy voxel can cause a fiber tracking method to switch tracts in a simple crossing tract geometry. In this work, a generalized spatial smoothing framework that handles multiple orientations as well as their fractional contributions within each voxel is proposed. The approach estimates an optimal fuzzy correspondence of orientations and fractional contributions between voxels and smooths only between these correspondences. Avoiding a requirement to obtain exact correspondences of orientations reduces smoothing anomalies due to propagation of erroneous correspondences around noisy voxels. Phantom experiments are used to demonstrate both visual and quantitative improvements in postprocessing steps. Improvement over smoothing in the measurement domain is also demonstrated using both phantoms and in vivo human data.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
PublisherSPIE
Volume9034
ISBN (Print)9780819498274
DOIs
StatePublished - 2014
EventMedical Imaging 2014: Image Processing - San Diego, CA, United States
Duration: Feb 16 2014Feb 18 2014

Other

OtherMedical Imaging 2014: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/16/142/18/14

Fingerprint

Diffusion Magnetic Resonance Imaging
smoothing
Magnetic resonance imaging
Fibers
Processing
fibers
Magnetic resonance
Switches
Population
Imaging techniques
Geometry
magnetic resonance
switches
anomalies
Experiments
requirements
propagation
causes
estimates
geometry

Keywords

  • Correspondence
  • Diffusion MRI
  • HARDI
  • Multi-tensor
  • Multiple directions
  • Multiple orientations
  • Smoothing

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Sigurdsson, G. A., & Prince, J. L. (2014). Smoothing fields of weighted collections with applications to diffusion MRI processing. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 9034). [90342D] SPIE. https://doi.org/10.1117/12.2043959

Smoothing fields of weighted collections with applications to diffusion MRI processing. / Sigurdsson, Gunnar A.; Prince, Jerry Ladd.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9034 SPIE, 2014. 90342D.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sigurdsson, GA & Prince, JL 2014, Smoothing fields of weighted collections with applications to diffusion MRI processing. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 9034, 90342D, SPIE, Medical Imaging 2014: Image Processing, San Diego, CA, United States, 2/16/14. https://doi.org/10.1117/12.2043959
Sigurdsson GA, Prince JL. Smoothing fields of weighted collections with applications to diffusion MRI processing. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9034. SPIE. 2014. 90342D https://doi.org/10.1117/12.2043959
Sigurdsson, Gunnar A. ; Prince, Jerry Ladd. / Smoothing fields of weighted collections with applications to diffusion MRI processing. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9034 SPIE, 2014.
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