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AutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy.

Publication ,  Journal Article
Park, YW; Deelchand, DK; Joers, JM; Hanna, B; Berrington, A; Gillen, JS; Kantarci, K; Soher, BJ; Barker, PB; Park, H; Öz, G; Lenglet, C
Published in: Magn Reson Med
November 2018

PURPOSE: To develop a fast and automated volume-of-interest (VOI) prescription pipeline (AutoVOI) for single-voxel MRS that removes the need for manual VOI placement, allows flexible VOI planning in any brain region, and enables high inter- and intra-subject consistency of VOI prescription. METHODS: AutoVOI was designed to transfer pre-defined VOIs from an atlas to the 3D anatomical data of the subject during the scan. The AutoVOI pipeline was optimized for consistency in VOI placement (precision), enhanced coverage of the targeted tissue (accuracy), and fast computation speed. The tool was evaluated against manual VOI placement using existing T1 -weighted data sets and corresponding VOI prescriptions. Finally, it was implemented on 2 scanner platforms to acquire MRS data from clinically relevant VOIs that span the cerebrum, cerebellum, and the brainstem. RESULTS: The AutoVOI pipeline includes skull stripping, non-linear registration of the atlas to the subject's brain, and computation of the VOI coordinates and angulations using a minimum oriented bounding box algorithm. When compared against manual prescription, AutoVOI showed higher intra- and inter-subject spatial consistency, as quantified by generalized Dice coefficients (GDC), lower intra- and inter-subject variability in tissue composition (gray matter, white matter, and cerebrospinal fluid) and higher or equal accuracy, as quantified by GDC of prescribed VOI with targeted tissues. High quality spectra were obtained on Siemens and Philips 3T systems from 6 automatically prescribed VOIs by the tool. CONCLUSION: Robust automatic VOI prescription is feasible and can help facilitate clinical adoption of MRS by avoiding operator dependence of manual selection.

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Published In

Magn Reson Med

DOI

EISSN

1522-2594

Publication Date

November 2018

Volume

80

Issue

5

Start / End Page

1787 / 1798

Location

United States

Related Subject Headings

  • Young Adult
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Humans
  • Female
  • Brain
  • Algorithms
  • Adult
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Park, Y. W., Deelchand, D. K., Joers, J. M., Hanna, B., Berrington, A., Gillen, J. S., … Lenglet, C. (2018). AutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy. Magn Reson Med, 80(5), 1787–1798. https://doi.org/10.1002/mrm.27203
Park, Young Woo, Dinesh K. Deelchand, James M. Joers, Brian Hanna, Adam Berrington, Joseph S. Gillen, Kejal Kantarci, et al. “AutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy.Magn Reson Med 80, no. 5 (November 2018): 1787–98. https://doi.org/10.1002/mrm.27203.
Park YW, Deelchand DK, Joers JM, Hanna B, Berrington A, Gillen JS, et al. AutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy. Magn Reson Med. 2018 Nov;80(5):1787–98.
Park, Young Woo, et al. “AutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy.Magn Reson Med, vol. 80, no. 5, Nov. 2018, pp. 1787–98. Pubmed, doi:10.1002/mrm.27203.
Park YW, Deelchand DK, Joers JM, Hanna B, Berrington A, Gillen JS, Kantarci K, Soher BJ, Barker PB, Park H, Öz G, Lenglet C. AutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy. Magn Reson Med. 2018 Nov;80(5):1787–1798.
Journal cover image

Published In

Magn Reson Med

DOI

EISSN

1522-2594

Publication Date

November 2018

Volume

80

Issue

5

Start / End Page

1787 / 1798

Location

United States

Related Subject Headings

  • Young Adult
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Humans
  • Female
  • Brain
  • Algorithms
  • Adult