Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1-weighted brain MRI acquisitions

Nico Papinutto, Rohit Bakshi, Antje Bischof, Peter A. Calabresi, Eduardo Caverzasi, R. Todd Constable, Esha Datta, Gina Kirkish, Govind Nair, Jiwon Oh, Daniel Pelletier, Dzung L. Pham, Daniel S. Reich, William Rooney, Snehashis Roy, Daniel Schwartz, Russell T. Shinohara, Nancy L. Sicotte, William A. Stern, Ian TaggeShahamat Tauhid, Subhash Tummala, Roland G. Henry

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Purpose: To explore (i) the variability of upper cervical cord area (UCCA) measurements from volumetric brain 3D T1-weighted scans related to gradient nonlinearity (GNL) and subject positioning; (ii) the effect of vendor-implemented GNL corrections; and (iii) easily applicable methods that can be used to retrospectively correct data. Methods: A multiple sclerosis patient was scanned at seven sites using 3T MRI scanners with the same 3D T1-weighted protocol without GNL-distortion correction. Two healthy subjects and a phantom were additionally scanned at a single site with varying table positions. The 2D and 3D vendor-implemented GNL-correction algorithms and retrospective methods based on (i) phantom data fit, (ii) normalization with C2 vertebral body diameters, and (iii) the Jacobian determinant of nonlinear registrations to a template were tested. Results: Depending on the positioning of the subject, GNL introduced up to 15% variability in UCCA measurements from volumetric brain T1-weighted scans when no distortion corrections were used. The 3D vendor-implemented correction methods and the three proposed methods reduced this variability to less than 3%. Conclusions: Our results raise awareness of the significant impact that GNL can have on quantitative UCCA studies, and point the way to prospectively and retrospectively managing GNL distortions in a variety of settings, including clinical environments.

Original languageEnglish (US)
JournalMagnetic Resonance in Medicine
DOIs
StateAccepted/In press - 2017

Fingerprint

Brain
Multiple Sclerosis
Healthy Volunteers
Cervical Cord

Keywords

  • 3D T-weighted brain MRI acquisitions
  • Correction algorithms
  • Gradient nonlinearity
  • Spinal cord atrophy
  • Upper cervical spinal cord area

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Papinutto, N., Bakshi, R., Bischof, A., Calabresi, P. A., Caverzasi, E., Constable, R. T., ... Henry, R. G. (Accepted/In press). Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1-weighted brain MRI acquisitions. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.26776

Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1-weighted brain MRI acquisitions. / Papinutto, Nico; Bakshi, Rohit; Bischof, Antje; Calabresi, Peter A.; Caverzasi, Eduardo; Constable, R. Todd; Datta, Esha; Kirkish, Gina; Nair, Govind; Oh, Jiwon; Pelletier, Daniel; Pham, Dzung L.; Reich, Daniel S.; Rooney, William; Roy, Snehashis; Schwartz, Daniel; Shinohara, Russell T.; Sicotte, Nancy L.; Stern, William A.; Tagge, Ian; Tauhid, Shahamat; Tummala, Subhash; Henry, Roland G.

In: Magnetic Resonance in Medicine, 2017.

Research output: Contribution to journalArticle

Papinutto, N, Bakshi, R, Bischof, A, Calabresi, PA, Caverzasi, E, Constable, RT, Datta, E, Kirkish, G, Nair, G, Oh, J, Pelletier, D, Pham, DL, Reich, DS, Rooney, W, Roy, S, Schwartz, D, Shinohara, RT, Sicotte, NL, Stern, WA, Tagge, I, Tauhid, S, Tummala, S & Henry, RG 2017, 'Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1-weighted brain MRI acquisitions', Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.26776
Papinutto, Nico ; Bakshi, Rohit ; Bischof, Antje ; Calabresi, Peter A. ; Caverzasi, Eduardo ; Constable, R. Todd ; Datta, Esha ; Kirkish, Gina ; Nair, Govind ; Oh, Jiwon ; Pelletier, Daniel ; Pham, Dzung L. ; Reich, Daniel S. ; Rooney, William ; Roy, Snehashis ; Schwartz, Daniel ; Shinohara, Russell T. ; Sicotte, Nancy L. ; Stern, William A. ; Tagge, Ian ; Tauhid, Shahamat ; Tummala, Subhash ; Henry, Roland G. / Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1-weighted brain MRI acquisitions. In: Magnetic Resonance in Medicine. 2017.
@article{ae85bb67bf8e456393bc7ec24f251aee,
title = "Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1-weighted brain MRI acquisitions",
abstract = "Purpose: To explore (i) the variability of upper cervical cord area (UCCA) measurements from volumetric brain 3D T1-weighted scans related to gradient nonlinearity (GNL) and subject positioning; (ii) the effect of vendor-implemented GNL corrections; and (iii) easily applicable methods that can be used to retrospectively correct data. Methods: A multiple sclerosis patient was scanned at seven sites using 3T MRI scanners with the same 3D T1-weighted protocol without GNL-distortion correction. Two healthy subjects and a phantom were additionally scanned at a single site with varying table positions. The 2D and 3D vendor-implemented GNL-correction algorithms and retrospective methods based on (i) phantom data fit, (ii) normalization with C2 vertebral body diameters, and (iii) the Jacobian determinant of nonlinear registrations to a template were tested. Results: Depending on the positioning of the subject, GNL introduced up to 15{\%} variability in UCCA measurements from volumetric brain T1-weighted scans when no distortion corrections were used. The 3D vendor-implemented correction methods and the three proposed methods reduced this variability to less than 3{\%}. Conclusions: Our results raise awareness of the significant impact that GNL can have on quantitative UCCA studies, and point the way to prospectively and retrospectively managing GNL distortions in a variety of settings, including clinical environments.",
keywords = "3D T-weighted brain MRI acquisitions, Correction algorithms, Gradient nonlinearity, Spinal cord atrophy, Upper cervical spinal cord area",
author = "Nico Papinutto and Rohit Bakshi and Antje Bischof and Calabresi, {Peter A.} and Eduardo Caverzasi and Constable, {R. Todd} and Esha Datta and Gina Kirkish and Govind Nair and Jiwon Oh and Daniel Pelletier and Pham, {Dzung L.} and Reich, {Daniel S.} and William Rooney and Snehashis Roy and Daniel Schwartz and Shinohara, {Russell T.} and Sicotte, {Nancy L.} and Stern, {William A.} and Ian Tagge and Shahamat Tauhid and Subhash Tummala and Henry, {Roland G.}",
year = "2017",
doi = "10.1002/mrm.26776",
language = "English (US)",
journal = "Magnetic Resonance in Medicine",
issn = "0740-3194",
publisher = "John Wiley and Sons Inc.",

}

TY - JOUR

T1 - Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1-weighted brain MRI acquisitions

AU - Papinutto, Nico

AU - Bakshi, Rohit

AU - Bischof, Antje

AU - Calabresi, Peter A.

AU - Caverzasi, Eduardo

AU - Constable, R. Todd

AU - Datta, Esha

AU - Kirkish, Gina

AU - Nair, Govind

AU - Oh, Jiwon

AU - Pelletier, Daniel

AU - Pham, Dzung L.

AU - Reich, Daniel S.

AU - Rooney, William

AU - Roy, Snehashis

AU - Schwartz, Daniel

AU - Shinohara, Russell T.

AU - Sicotte, Nancy L.

AU - Stern, William A.

AU - Tagge, Ian

AU - Tauhid, Shahamat

AU - Tummala, Subhash

AU - Henry, Roland G.

PY - 2017

Y1 - 2017

N2 - Purpose: To explore (i) the variability of upper cervical cord area (UCCA) measurements from volumetric brain 3D T1-weighted scans related to gradient nonlinearity (GNL) and subject positioning; (ii) the effect of vendor-implemented GNL corrections; and (iii) easily applicable methods that can be used to retrospectively correct data. Methods: A multiple sclerosis patient was scanned at seven sites using 3T MRI scanners with the same 3D T1-weighted protocol without GNL-distortion correction. Two healthy subjects and a phantom were additionally scanned at a single site with varying table positions. The 2D and 3D vendor-implemented GNL-correction algorithms and retrospective methods based on (i) phantom data fit, (ii) normalization with C2 vertebral body diameters, and (iii) the Jacobian determinant of nonlinear registrations to a template were tested. Results: Depending on the positioning of the subject, GNL introduced up to 15% variability in UCCA measurements from volumetric brain T1-weighted scans when no distortion corrections were used. The 3D vendor-implemented correction methods and the three proposed methods reduced this variability to less than 3%. Conclusions: Our results raise awareness of the significant impact that GNL can have on quantitative UCCA studies, and point the way to prospectively and retrospectively managing GNL distortions in a variety of settings, including clinical environments.

AB - Purpose: To explore (i) the variability of upper cervical cord area (UCCA) measurements from volumetric brain 3D T1-weighted scans related to gradient nonlinearity (GNL) and subject positioning; (ii) the effect of vendor-implemented GNL corrections; and (iii) easily applicable methods that can be used to retrospectively correct data. Methods: A multiple sclerosis patient was scanned at seven sites using 3T MRI scanners with the same 3D T1-weighted protocol without GNL-distortion correction. Two healthy subjects and a phantom were additionally scanned at a single site with varying table positions. The 2D and 3D vendor-implemented GNL-correction algorithms and retrospective methods based on (i) phantom data fit, (ii) normalization with C2 vertebral body diameters, and (iii) the Jacobian determinant of nonlinear registrations to a template were tested. Results: Depending on the positioning of the subject, GNL introduced up to 15% variability in UCCA measurements from volumetric brain T1-weighted scans when no distortion corrections were used. The 3D vendor-implemented correction methods and the three proposed methods reduced this variability to less than 3%. Conclusions: Our results raise awareness of the significant impact that GNL can have on quantitative UCCA studies, and point the way to prospectively and retrospectively managing GNL distortions in a variety of settings, including clinical environments.

KW - 3D T-weighted brain MRI acquisitions

KW - Correction algorithms

KW - Gradient nonlinearity

KW - Spinal cord atrophy

KW - Upper cervical spinal cord area

UR - http://www.scopus.com/inward/record.url?scp=85020726579&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85020726579&partnerID=8YFLogxK

U2 - 10.1002/mrm.26776

DO - 10.1002/mrm.26776

M3 - Article

C2 - 28617996

AN - SCOPUS:85020726579

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

SN - 0740-3194

ER -