Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI

Oleh Dzyubachyk; Qian Tao; Dirk H.J. Poot; Hildo Lamb; Katja Zeppenfeld; Boudewijn P.F. Lelieveldt; Rob J. Van Der Geest

doi:10.1007/978-3-642-40760-4_19

Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI

Oleh Dzyubachyk
, Qian Tao
, Dirk H.J. Poot
, Hildo Lamb
, Katja Zeppenfeld
, Boudewijn P.F. Lelieveldt
, Rob J. Van Der Geest

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

1 Citation (Scopus)

Abstract

Image resolution is an important factor for accurate myocardial scar assessment from late gadolinium enhanced (LGE) MR. It has been shown that the conventionally used short-axis (SA) LGE acquisition with anisotropic resolution may overestimate the scar size due to partial volume effect, undermining the prognostic and diagnostic accuracy of LGE MRI in critical clinical applications. In this work, we present a method for combining three complementary anisotropic orthogonal LGE sequences of the heart region into a single isotropic volume. Our algorithm is based on the super-resolution reconstruction technique and employs joint localized gradient-correlation-based technique for compensation of breathing motion. The proposed method was validated on the gold standard electroanatomical voltage mapping (EAVM) data of 15 post-infarction patients. The reconstructed myocardial scar image demonstrated improved agreement with the EAVM compared to the conventional SA image, especially at the clinically significant gray zone region.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
Pages	147-154
Number of pages	8
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-40760-4_19
Publication status	Published - 2013
Event	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, Japan Duration: 22 Sept 2013 → 26 Sept 2013

Publication series

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	8151 LNCS
ISSN	0302-9743

Conference

Conference	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Country/Territory	Japan
City	Nagoya
Period	22/09/13 → 26/09/13

Bibliographical note

Funding Information:
This research was supported by the Dutch Technology Foundation STW (Stichting Technische Wetenschappen) via grants 10894 and MEDIATE.

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10.1007/978-3-642-40760-4_19

Cite this

Dzyubachyk, O., Tao, Q., Poot, D. H. J., Lamb, H., Zeppenfeld, K., Lelieveldt, B. P. F., & Van Der Geest, R. J. (2013). Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings (PART 3 ed., pp. 147-154) https://doi.org/10.1007/978-3-642-40760-4_19

Dzyubachyk, Oleh ; Tao, Qian ; Poot, Dirk H.J. et al. / Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3. ed. 2013. pp. 147-154 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); No. PART 3, Vol. 8151 LNCS).

@inproceedings{f5a60e82ed2142f398c260c18af7b71a,

title = "Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI",

abstract = "Image resolution is an important factor for accurate myocardial scar assessment from late gadolinium enhanced (LGE) MR. It has been shown that the conventionally used short-axis (SA) LGE acquisition with anisotropic resolution may overestimate the scar size due to partial volume effect, undermining the prognostic and diagnostic accuracy of LGE MRI in critical clinical applications. In this work, we present a method for combining three complementary anisotropic orthogonal LGE sequences of the heart region into a single isotropic volume. Our algorithm is based on the super-resolution reconstruction technique and employs joint localized gradient-correlation-based technique for compensation of breathing motion. The proposed method was validated on the gold standard electroanatomical voltage mapping (EAVM) data of 15 post-infarction patients. The reconstructed myocardial scar image demonstrated improved agreement with the EAVM compared to the conventional SA image, especially at the clinically significant gray zone region.",

author = "Oleh Dzyubachyk and Qian Tao and Poot, \{Dirk H.J.\} and Hildo Lamb and Katja Zeppenfeld and Lelieveldt, \{Boudewijn P.F.\} and \{Van Der Geest\}, \{Rob J.\}",

note = "Funding Information: This research was supported by the Dutch Technology Foundation STW (Stichting Technische Wetenschappen) via grants 10894 and MEDIATE.; 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 ; Conference date: 22-09-2013 Through 26-09-2013",

year = "2013",

doi = "10.1007/978-3-642-40760-4\_19",

language = "English",

isbn = "9783642407598",

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

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Dzyubachyk, O, Tao, Q, Poot, DHJ, Lamb, H, Zeppenfeld, K, Lelieveldt, BPF & Van Der Geest, RJ 2013, Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 8151 LNCS, pp. 147-154, 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, Nagoya, Japan, 22/09/13. https://doi.org/10.1007/978-3-642-40760-4_19

Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI. / Dzyubachyk, Oleh; Tao, Qian; Poot, Dirk H.J. et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3. ed. 2013. p. 147-154 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); No. PART 3, Vol. 8151 LNCS).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

TY - GEN

T1 - Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI

AU - Dzyubachyk, Oleh

AU - Tao, Qian

AU - Poot, Dirk H.J.

AU - Lamb, Hildo

AU - Zeppenfeld, Katja

AU - Lelieveldt, Boudewijn P.F.

AU - Van Der Geest, Rob J.

N1 - Funding Information: This research was supported by the Dutch Technology Foundation STW (Stichting Technische Wetenschappen) via grants 10894 and MEDIATE.

PY - 2013

Y1 - 2013

N2 - Image resolution is an important factor for accurate myocardial scar assessment from late gadolinium enhanced (LGE) MR. It has been shown that the conventionally used short-axis (SA) LGE acquisition with anisotropic resolution may overestimate the scar size due to partial volume effect, undermining the prognostic and diagnostic accuracy of LGE MRI in critical clinical applications. In this work, we present a method for combining three complementary anisotropic orthogonal LGE sequences of the heart region into a single isotropic volume. Our algorithm is based on the super-resolution reconstruction technique and employs joint localized gradient-correlation-based technique for compensation of breathing motion. The proposed method was validated on the gold standard electroanatomical voltage mapping (EAVM) data of 15 post-infarction patients. The reconstructed myocardial scar image demonstrated improved agreement with the EAVM compared to the conventional SA image, especially at the clinically significant gray zone region.

AB - Image resolution is an important factor for accurate myocardial scar assessment from late gadolinium enhanced (LGE) MR. It has been shown that the conventionally used short-axis (SA) LGE acquisition with anisotropic resolution may overestimate the scar size due to partial volume effect, undermining the prognostic and diagnostic accuracy of LGE MRI in critical clinical applications. In this work, we present a method for combining three complementary anisotropic orthogonal LGE sequences of the heart region into a single isotropic volume. Our algorithm is based on the super-resolution reconstruction technique and employs joint localized gradient-correlation-based technique for compensation of breathing motion. The proposed method was validated on the gold standard electroanatomical voltage mapping (EAVM) data of 15 post-infarction patients. The reconstructed myocardial scar image demonstrated improved agreement with the EAVM compared to the conventional SA image, especially at the clinically significant gray zone region.

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C2 - 24505755

AN - SCOPUS:84894617218

SN - 9783642407598

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

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BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings

T2 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013

Y2 - 22 September 2013 through 26 September 2013

ER -

Dzyubachyk O, Tao Q, Poot DHJ, Lamb H, Zeppenfeld K, Lelieveldt BPF et al. Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3 ed. 2013. p. 147-154. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); No. PART 3, Vol. 8151 LNCS). doi: 10.1007/978-3-642-40760-4_19

Improved myocardial scar characterization by super-resolution reconstruction in late gadolinium enhanced MRI

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