A multimodal database for the 1 st Cardiac Motion Analysis Challenge

Catalina Tobon-Gomez; Mathieu De Craene; Annette Dahl; Stam Kapetanakis; Gerry Carr-White; Anja Lutz; Volker Rasche; Patrick Etyngier; Sebastian Kozerke; Tobias Schaeffter; Chiara Riccobene; Yves Martelli; Oscar Camara; Alejandro F. Frangi; Kawal S. Rhode

doi:10.1007/978-3-642-28326-0_4

A multimodal database for the 1 ^st Cardiac Motion Analysis Challenge

Catalina Tobon-Gomez, Mathieu De Craene, Annette Dahl, Stam Kapetanakis, Gerry Carr-White, Anja Lutz, Volker Rasche, Patrick Etyngier, Sebastian Kozerke, Tobias Schaeffter, Chiara Riccobene, Yves Martelli, Oscar Camara, Alejandro F. Frangi, Kawal S. Rhode

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

Abstract

This paper describes the acquisition of the multimodal database used in the 1 ^st Cardiac Motion Analysis Challenge. The database includes magnetic resonance (MR) and 3D ultrasound (3DUS) datasets from a dynamic phantom and 15 datasets from healthy volunteers. The MR acquisition included cine steady state free precession (SSFP), whole-heart turbo field echo (TFE), and 4D tagged MR (tMR) sequences. From the SSFP images, the end diastolic anatomy was extracted using a deformable model of the left ventricle (LV). The LV model was mapped to the tMR coordinates using DICOM information. From the LV model, 12 landmarks were generated (4 walls at 3 ventricular levels). These landmarks were manually tracked in the tMR data over the whole cardiac cycle by two observes using an in-house application with 4D visualization capabilities. Finally, the LV model was registered to the 3DUS coordinates using a point based similarity transform. Four institutions responded to the challenge by providing motion estimates for the data. Preliminary results are presented for one of the volunteer data sets.

Original language	English
Title of host publication	Statistical Atlases and Computational Models of the Heart
Subtitle of host publication	Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers
Pages	33-44
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-28326-0_4
Publication status	Published - 2012
Event	2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011 - Toronto, ON, Canada Duration: 22 Sept 2011 → 22 Sept 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7085 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011
Country/Territory	Canada
City	Toronto, ON
Period	22/09/11 → 22/09/11

Access to Document

10.1007/978-3-642-28326-0_4

Cite this

Tobon-Gomez, C., De Craene, M., Dahl, A., Kapetanakis, S., Carr-White, G., Lutz, A., Rasche, V., Etyngier, P., Kozerke, S., Schaeffter, T., Riccobene, C., Martelli, Y., Camara, O., Frangi, A. F., & Rhode, K. S. (2012). A multimodal database for the 1 ^st Cardiac Motion Analysis Challenge. In Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers (pp. 33-44). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7085 LNCS). https://doi.org/10.1007/978-3-642-28326-0_4

Tobon-Gomez, Catalina ; De Craene, Mathieu ; Dahl, Annette et al. / A multimodal database for the 1 ^st Cardiac Motion Analysis Challenge. Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers. 2012. pp. 33-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8721a3c8bf984c3080c7ab057fd96011,

title = "A multimodal database for the 1 st Cardiac Motion Analysis Challenge",

abstract = "This paper describes the acquisition of the multimodal database used in the 1 st Cardiac Motion Analysis Challenge. The database includes magnetic resonance (MR) and 3D ultrasound (3DUS) datasets from a dynamic phantom and 15 datasets from healthy volunteers. The MR acquisition included cine steady state free precession (SSFP), whole-heart turbo field echo (TFE), and 4D tagged MR (tMR) sequences. From the SSFP images, the end diastolic anatomy was extracted using a deformable model of the left ventricle (LV). The LV model was mapped to the tMR coordinates using DICOM information. From the LV model, 12 landmarks were generated (4 walls at 3 ventricular levels). These landmarks were manually tracked in the tMR data over the whole cardiac cycle by two observes using an in-house application with 4D visualization capabilities. Finally, the LV model was registered to the 3DUS coordinates using a point based similarity transform. Four institutions responded to the challenge by providing motion estimates for the data. Preliminary results are presented for one of the volunteer data sets.",

author = "Catalina Tobon-Gomez and {De Craene}, Mathieu and Annette Dahl and Stam Kapetanakis and Gerry Carr-White and Anja Lutz and Volker Rasche and Patrick Etyngier and Sebastian Kozerke and Tobias Schaeffter and Chiara Riccobene and Yves Martelli and Oscar Camara and Frangi, {Alejandro F.} and Rhode, {Kawal S.}",

year = "2012",

doi = "10.1007/978-3-642-28326-0_4",

language = "English",

isbn = "9783642283253",

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

pages = "33--44",

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

note = "2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011 ; Conference date: 22-09-2011 Through 22-09-2011",

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Tobon-Gomez, C, De Craene, M, Dahl, A, Kapetanakis, S, Carr-White, G, Lutz, A, Rasche, V, Etyngier, P, Kozerke, S, Schaeffter, T, Riccobene, C, Martelli, Y, Camara, O, Frangi, AF & Rhode, KS 2012, A multimodal database for the 1 ^st Cardiac Motion Analysis Challenge. in Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7085 LNCS, pp. 33-44, 2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, 22/09/11. https://doi.org/10.1007/978-3-642-28326-0_4

A multimodal database for the 1 ^st Cardiac Motion Analysis Challenge. / Tobon-Gomez, Catalina; De Craene, Mathieu; Dahl, Annette et al.
Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers. 2012. p. 33-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7085 LNCS).

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

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AU - Carr-White, Gerry

AU - Lutz, Anja

AU - Rasche, Volker

AU - Etyngier, Patrick

AU - Kozerke, Sebastian

AU - Schaeffter, Tobias

AU - Riccobene, Chiara

AU - Martelli, Yves

AU - Camara, Oscar

AU - Frangi, Alejandro F.

AU - Rhode, Kawal S.

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N2 - This paper describes the acquisition of the multimodal database used in the 1 st Cardiac Motion Analysis Challenge. The database includes magnetic resonance (MR) and 3D ultrasound (3DUS) datasets from a dynamic phantom and 15 datasets from healthy volunteers. The MR acquisition included cine steady state free precession (SSFP), whole-heart turbo field echo (TFE), and 4D tagged MR (tMR) sequences. From the SSFP images, the end diastolic anatomy was extracted using a deformable model of the left ventricle (LV). The LV model was mapped to the tMR coordinates using DICOM information. From the LV model, 12 landmarks were generated (4 walls at 3 ventricular levels). These landmarks were manually tracked in the tMR data over the whole cardiac cycle by two observes using an in-house application with 4D visualization capabilities. Finally, the LV model was registered to the 3DUS coordinates using a point based similarity transform. Four institutions responded to the challenge by providing motion estimates for the data. Preliminary results are presented for one of the volunteer data sets.

AB - This paper describes the acquisition of the multimodal database used in the 1 st Cardiac Motion Analysis Challenge. The database includes magnetic resonance (MR) and 3D ultrasound (3DUS) datasets from a dynamic phantom and 15 datasets from healthy volunteers. The MR acquisition included cine steady state free precession (SSFP), whole-heart turbo field echo (TFE), and 4D tagged MR (tMR) sequences. From the SSFP images, the end diastolic anatomy was extracted using a deformable model of the left ventricle (LV). The LV model was mapped to the tMR coordinates using DICOM information. From the LV model, 12 landmarks were generated (4 walls at 3 ventricular levels). These landmarks were manually tracked in the tMR data over the whole cardiac cycle by two observes using an in-house application with 4D visualization capabilities. Finally, the LV model was registered to the 3DUS coordinates using a point based similarity transform. Four institutions responded to the challenge by providing motion estimates for the data. Preliminary results are presented for one of the volunteer data sets.

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

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Tobon-Gomez C, De Craene M, Dahl A, Kapetanakis S, Carr-White G, Lutz A et al. A multimodal database for the 1 ^st Cardiac Motion Analysis Challenge. In Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers. 2012. p. 33-44. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-28326-0_4