Advanced normalization tools for cardiac motion correction

Nicholas J. Tustison; Yang Yang; Michael Salerno

doi:10.1007/978-3-319-14678-2_1

Advanced normalization tools for cardiac motion correction

Nicholas J. Tustison, Yang Yang, Michael Salerno

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

We present our submission to the STACOM 2014 MoCo challenge for motion correction of dynamic contrast myocardial perfusion MRI. Our submission is based on the publicly available Advanced Normalization Tools (ANTs) specifically tailored for this problem domain. We provide a brief description with actual code calls to facilitate reproducibility. Time plots and K^trans values, based on the validation methodology of [11], are also provided to determine clinically relevant performance levels.

Original language	English
Title of host publication	Statistical Atlases and Computational Models of the Heart
Subtitle of host publication	Imaging and Modelling Challenges - 5th International Workshop, STACOM 2014 Held in Conjunction with MICCAI 2014, Revised Selected Papers
Editors	Mihaela Pop, Tommaso Mansi, Oscar Camara, Maxime Sermesant, Alistair Young, Kawal Rhode, Kawal Rhode
Publisher	Springer Verlag
Pages	3-12
Number of pages	10
ISBN (Electronic)	9783319146775
DOIs	https://doi.org/10.1007/978-3-319-14678-2_1
State	Published - 2014
Externally published	Yes
Event	5th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2014 Held in Conjunction with Medical Image Computing and Computer Assisted Intervention Conference, MICCAI 2014 - Boston, United States Duration: 18 Sep 2014 → 18 Sep 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8896
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2014 Held in Conjunction with Medical Image Computing and Computer Assisted Intervention Conference, MICCAI 2014
Country/Territory	United States
City	Boston
Period	18/09/14 → 18/09/14

Keywords

ANTs
Image registration
Motion estimation
Myocardial perfusion

Access to Document

10.1007/978-3-319-14678-2_1

Cite this

Tustison, N. J., Yang, Y., & Salerno, M. (2014). Advanced normalization tools for cardiac motion correction. In M. Pop, T. Mansi, O. Camara, M. Sermesant, A. Young, K. Rhode, & K. Rhode (Eds.), Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 5th International Workshop, STACOM 2014 Held in Conjunction with MICCAI 2014, Revised Selected Papers (pp. 3-12). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8896). Springer Verlag. https://doi.org/10.1007/978-3-319-14678-2_1

Tustison, Nicholas J. ; Yang, Yang ; Salerno, Michael. / Advanced normalization tools for cardiac motion correction. Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 5th International Workshop, STACOM 2014 Held in Conjunction with MICCAI 2014, Revised Selected Papers. editor / Mihaela Pop ; Tommaso Mansi ; Oscar Camara ; Maxime Sermesant ; Alistair Young ; Kawal Rhode ; Kawal Rhode. Springer Verlag, 2014. pp. 3-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{fb8b77401c6d4c339dc80fdfc1d0dfc8,

title = "Advanced normalization tools for cardiac motion correction",

abstract = "We present our submission to the STACOM 2014 MoCo challenge for motion correction of dynamic contrast myocardial perfusion MRI. Our submission is based on the publicly available Advanced Normalization Tools (ANTs) specifically tailored for this problem domain. We provide a brief description with actual code calls to facilitate reproducibility. Time plots and Ktrans values, based on the validation methodology of [11], are also provided to determine clinically relevant performance levels.",

keywords = "ANTs, Image registration, Motion estimation, Myocardial perfusion",

author = "Tustison, \{Nicholas J.\} and Yang Yang and Michael Salerno",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 5th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2014 Held in Conjunction with Medical Image Computing and Computer Assisted Intervention Conference, MICCAI 2014 ; Conference date: 18-09-2014 Through 18-09-2014",

year = "2014",

doi = "10.1007/978-3-319-14678-2\_1",

language = "English",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "3--12",

editor = "Mihaela Pop and Tommaso Mansi and Oscar Camara and Maxime Sermesant and Alistair Young and Kawal Rhode and Kawal Rhode",

booktitle = "Statistical Atlases and Computational Models of the Heart",

address = "Germany",

}

Tustison, NJ, Yang, Y & Salerno, M 2014, Advanced normalization tools for cardiac motion correction. in M Pop, T Mansi, O Camara, M Sermesant, A Young, K Rhode & K Rhode (eds), Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 5th International Workshop, STACOM 2014 Held in Conjunction with MICCAI 2014, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8896, Springer Verlag, pp. 3-12, 5th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2014 Held in Conjunction with Medical Image Computing and Computer Assisted Intervention Conference, MICCAI 2014, Boston, United States, 18/09/14. https://doi.org/10.1007/978-3-319-14678-2_1

Advanced normalization tools for cardiac motion correction. / Tustison, Nicholas J.; Yang, Yang; Salerno, Michael.
Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 5th International Workshop, STACOM 2014 Held in Conjunction with MICCAI 2014, Revised Selected Papers. ed. / Mihaela Pop; Tommaso Mansi; Oscar Camara; Maxime Sermesant; Alistair Young; Kawal Rhode; Kawal Rhode. Springer Verlag, 2014. p. 3-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8896).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Advanced normalization tools for cardiac motion correction

AU - Tustison, Nicholas J.

AU - Yang, Yang

AU - Salerno, Michael

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2014

Y1 - 2014

N2 - We present our submission to the STACOM 2014 MoCo challenge for motion correction of dynamic contrast myocardial perfusion MRI. Our submission is based on the publicly available Advanced Normalization Tools (ANTs) specifically tailored for this problem domain. We provide a brief description with actual code calls to facilitate reproducibility. Time plots and Ktrans values, based on the validation methodology of [11], are also provided to determine clinically relevant performance levels.

AB - We present our submission to the STACOM 2014 MoCo challenge for motion correction of dynamic contrast myocardial perfusion MRI. Our submission is based on the publicly available Advanced Normalization Tools (ANTs) specifically tailored for this problem domain. We provide a brief description with actual code calls to facilitate reproducibility. Time plots and Ktrans values, based on the validation methodology of [11], are also provided to determine clinically relevant performance levels.

KW - ANTs

KW - Image registration

KW - Motion estimation

KW - Myocardial perfusion

UR - https://www.scopus.com/pages/publications/84927798031

U2 - 10.1007/978-3-319-14678-2_1

DO - 10.1007/978-3-319-14678-2_1

M3 - Conference contribution

AN - SCOPUS:84927798031

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 3

EP - 12

BT - Statistical Atlases and Computational Models of the Heart

A2 - Pop, Mihaela

A2 - Mansi, Tommaso

A2 - Camara, Oscar

A2 - Sermesant, Maxime

A2 - Young, Alistair

A2 - Rhode, Kawal

PB - Springer Verlag

T2 - 5th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2014 Held in Conjunction with Medical Image Computing and Computer Assisted Intervention Conference, MICCAI 2014

Y2 - 18 September 2014 through 18 September 2014

ER -

Tustison NJ, Yang Y, Salerno M. Advanced normalization tools for cardiac motion correction. In Pop M, Mansi T, Camara O, Sermesant M, Young A, Rhode K, Rhode K, editors, Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 5th International Workshop, STACOM 2014 Held in Conjunction with MICCAI 2014, Revised Selected Papers. Springer Verlag. 2014. p. 3-12. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-14678-2_1

Advanced normalization tools for cardiac motion correction

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this