A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

A. Sreekumari; D. Shanbhag; D. Yeo; T. Foo; J. Pilitsis; J. Polzin; U. Patil; A. Coblentz; A. Kapadia; J. Khinda; A. Boutet; J. Port; I. Hancu

doi:10.3174/ajnr.A5926

Research ArticleAdult Brain

A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

A. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. Hancu

American Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926

A. Sreekumari

aFrom the GE Global Research Center (A.S., D.S., U.P.), Bangalore, India

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D. Shanbhag

aFrom the GE Global Research Center (A.S., D.S., U.P.), Bangalore, India

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D. Yeo

bGE Global Research Center (D.Y., T.F., I.H.), Niskayuna, New York

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T. Foo

bGE Global Research Center (D.Y., T.F., I.H.), Niskayuna, New York

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J. Pilitsis

cAlbany Medical College (J.Pilitsis), Albany, New York

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J. Polzin

dGE Healthcare (J.Polzin), Milwaukee, Wisconsin

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U. Patil

aFrom the GE Global Research Center (A.S., D.S., U.P.), Bangalore, India

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A. Coblentz

eUniversity Hospital Network (A.C., A.K., J.K., A.B.), Toronto, Ontario, Canada

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A. Kapadia

eUniversity Hospital Network (A.C., A.K., J.K., A.B.), Toronto, Ontario, Canada

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J. Khinda

eUniversity Hospital Network (A.C., A.K., J.K., A.B.), Toronto, Ontario, Canada

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A. Boutet

eUniversity Hospital Network (A.C., A.K., J.K., A.B.), Toronto, Ontario, Canada

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J. Port

fMayo Clinic (J.Port), Rochester, Minnesota.

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I. Hancu

bGE Global Research Center (D.Y., T.F., I.H.), Niskayuna, New York

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vol. 40 no. 2 217-223

DOI

https://doi.org/10.3174/ajnr.A5926

PubMed

30606726

Published By

American Journal of Neuroradiology

Print ISSN

0195-6108

Online ISSN

1936-959X

History

Received August 15, 2018
Accepted after revision November 2, 2018
Published online February 13, 2019.

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Latest version (January 3, 2019 - 08:33).
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Author Information

A. Sreekumaria,
D. Shanbhaga,
D. Yeob,
T. Foob,
J. Pilitsisc,
J. Polzind,
U. Patila,
A. Coblentze,
A. Kapadiae,
J. Khindae,
A. Boutete,
J. Portf and
I. Hancub

^aFrom the GE Global Research Center (A.S., D.S., U.P.), Bangalore, India
^bGE Global Research Center (D.Y., T.F., I.H.), Niskayuna, New York
^cAlbany Medical College (J.Pilitsis), Albany, New York
^dGE Healthcare (J.Polzin), Milwaukee, Wisconsin
^eUniversity Hospital Network (A.C., A.K., J.K., A.B.), Toronto, Ontario, Canada
^fMayo Clinic (J.Port), Rochester, Minnesota.

Please address correspondence to Ileana Hancu, PhD, GE Global Research Center, 1 Research Circle, K-1 NMR 138, Niskayuna, NY 12309; e-mail: ihancu1{at}gmail.com

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A. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port, I. Hancu

A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

American Journal of Neuroradiology Feb 2019, 40 (2) 217-223; DOI: 10.3174/ajnr.A5926

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A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

A. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port, I. Hancu

American Journal of Neuroradiology Feb 2019, 40 (2) 217-223; DOI: 10.3174/ajnr.A5926

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A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

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