SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data using a 3D-ASM

H.C. Assen, van; M.G. Danilouchkine; A.F. Frangi; S. Ordás; J.J.M. Westenberg; J.H.C. Reiber; B.P.F. Lelieveldt

doi:10.1007/11494621_4

SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data using a 3D-ASM

H.C. Assen, van, M.G. Danilouchkine, A.F. Frangi, S. Ordás, J.J.M. Westenberg, J.H.C. Reiber, B.P.F. Lelieveldt

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

4 Citations (Scopus)

Abstract

In this paper, a new technique (SPASM) based on a 3D-ASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with different orientations, and with large undersampled regions. SPASM was applied to sparsely sampled and radially oriented cardiac LV image data.

Performance of SPASM has been compared to results from other methods reported in literature. The accuracy of SPASM is comparable to these other methods, but SPASM uses considerably less image data.

Original language	English
Title of host publication	Functional imaging and modeling of the heart : third international workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005
Editors	A.F. Frangi, P.I. Radeva, A. Santos
Place of Publication	Berlin
Publisher	Springer
Pages	33-43
DOIs	https://doi.org/10.1007/11494621_4
Publication status	Published - 2005
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science
Volume	3504

Access to Document

10.1007/11494621_4

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Assen, van, H. C., Danilouchkine, M. G., Frangi, A. F., Ordás, S., Westenberg, J. J. M., Reiber, J. H. C., & Lelieveldt, B. P. F. (2005). SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data using a 3D-ASM. In A. F. Frangi, P. I. Radeva, & A. Santos (Eds.), Functional imaging and modeling of the heart : third international workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005 (pp. 33-43). (Lecture Notes in Computer Science; Vol. 3504). Springer. https://doi.org/10.1007/11494621_4

Assen, van, H.C. ; Danilouchkine, M.G. ; Frangi, A.F. ; Ordás, S. ; Westenberg, J.J.M. ; Reiber, J.H.C. ; Lelieveldt, B.P.F. / SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data using a 3D-ASM. Functional imaging and modeling of the heart : third international workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005. editor / A.F. Frangi ; P.I. Radeva ; A. Santos. Berlin : Springer, 2005. pp. 33-43 (Lecture Notes in Computer Science).

@inproceedings{8f80dbf598ab465c812409c972610756,

title = "SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data using a 3D-ASM",

abstract = "In this paper, a new technique (SPASM) based on a 3D-ASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with different orientations, and with large undersampled regions. SPASM was applied to sparsely sampled and radially oriented cardiac LV image data.Performance of SPASM has been compared to results from other methods reported in literature. The accuracy of SPASM is comparable to these other methods, but SPASM uses considerably less image data.",

author = "{Assen, van}, H.C. and M.G. Danilouchkine and A.F. Frangi and S. Ord{\'a}s and J.J.M. Westenberg and J.H.C. Reiber and B.P.F. Lelieveldt",

year = "2005",

doi = "10.1007/11494621_4",

language = "English",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "33--43",

editor = "A.F. Frangi and P.I. Radeva and A. Santos",

booktitle = "Functional imaging and modeling of the heart : third international workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005",

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}

Assen, van, HC, Danilouchkine, MG, Frangi, AF, Ordás, S, Westenberg, JJM, Reiber, JHC & Lelieveldt, BPF 2005, SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data using a 3D-ASM. in AF Frangi, PI Radeva & A Santos (eds), Functional imaging and modeling of the heart : third international workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005. Lecture Notes in Computer Science, vol. 3504, Springer, Berlin, pp. 33-43. https://doi.org/10.1007/11494621_4

SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data using a 3D-ASM. / Assen, van, H.C.; Danilouchkine, M.G.; Frangi, A.F.; Ordás, S.; Westenberg, J.J.M.; Reiber, J.H.C.; Lelieveldt, B.P.F.

Functional imaging and modeling of the heart : third international workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005. ed. / A.F. Frangi; P.I. Radeva; A. Santos. Berlin : Springer, 2005. p. 33-43 (Lecture Notes in Computer Science; Vol. 3504).

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

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T1 - SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data using a 3D-ASM

AU - Assen, van, H.C.

AU - Danilouchkine, M.G.

AU - Frangi, A.F.

AU - Ordás, S.

AU - Westenberg, J.J.M.

AU - Reiber, J.H.C.

AU - Lelieveldt, B.P.F.

PY - 2005

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AB - In this paper, a new technique (SPASM) based on a 3D-ASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with different orientations, and with large undersampled regions. SPASM was applied to sparsely sampled and radially oriented cardiac LV image data.Performance of SPASM has been compared to results from other methods reported in literature. The accuracy of SPASM is comparable to these other methods, but SPASM uses considerably less image data.

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DO - 10.1007/11494621_4

M3 - Conference contribution

T3 - Lecture Notes in Computer Science

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EP - 43

BT - Functional imaging and modeling of the heart : third international workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005

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Assen, van HC, Danilouchkine MG, Frangi AF, Ordás S, Westenberg JJM, Reiber JHC et al. SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data using a 3D-ASM. In Frangi AF, Radeva PI, Santos A, editors, Functional imaging and modeling of the heart : third international workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005. Berlin: Springer. 2005. p. 33-43. (Lecture Notes in Computer Science). https://doi.org/10.1007/11494621_4