A new approach to automatic segmentation of bone in medical magnetic resonance imaging

Gabriela Pérez; Raquel Montes Diez; Juan A. Hernández; José San Martín

doi:10.1007/978-3-540-30547-7_3

A new approach to automatic segmentation of bone in medical magnetic resonance imaging

Gabriela Pérez^*, Raquel Montes Diez, Juan A. Hernández, José San Martín

^*Corresponding author for this work

Research output: Chapter/Conference proceeding › Chapter › Academic

2 Citations (Scopus)

Abstract

This paper presents the modelling and segmentation with correction of inhomogeneity in magnetic resonance imaging of shoulder. For that purpose a new heuristic is proposed using a morphological method and a pyramidal Gaussian decomposition (Discrete Gabor Transform). After the application of these filters, an automatic segmentation of a bone is possible despite of other semiautomatic methods present in the literature.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Jose M. Barreiro, Fernando Martin-Sanchez, Victor Maojo, Ferran Sanz
Pages	21-26
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-540-30547-7_3
Publication status	Published - 2004
Externally published	Yes

Publication series

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3337
ISSN	0302-9743

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10.1007/978-3-540-30547-7_3

Cite this

Pérez, G., Montes Diez, R., Hernández, J. A., & San Martín, J. (2004). A new approach to automatic segmentation of bone in medical magnetic resonance imaging. In J. M. Barreiro, F. Martin-Sanchez, V. Maojo, & F. Sanz (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 21-26) https://doi.org/10.1007/978-3-540-30547-7_3

Pérez, Gabriela ; Montes Diez, Raquel ; Hernández, Juan A. et al. / A new approach to automatic segmentation of bone in medical magnetic resonance imaging. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Jose M. Barreiro ; Fernando Martin-Sanchez ; Victor Maojo ; Ferran Sanz. 2004. pp. 21-26 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3337).

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title = "A new approach to automatic segmentation of bone in medical magnetic resonance imaging",

abstract = "This paper presents the modelling and segmentation with correction of inhomogeneity in magnetic resonance imaging of shoulder. For that purpose a new heuristic is proposed using a morphological method and a pyramidal Gaussian decomposition (Discrete Gabor Transform). After the application of these filters, an automatic segmentation of a bone is possible despite of other semiautomatic methods present in the literature.",

author = "Gabriela P{\'e}rez and {Montes Diez}, Raquel and Hern{\'a}ndez, {Juan A.} and {San Mart{\'i}n}, Jos{\'e}",

year = "2004",

doi = "10.1007/978-3-540-30547-7_3",

language = "English",

isbn = "9783540305477",

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

publisher = "Springer-Verlag",

pages = "21--26",

editor = "Barreiro, {Jose M.} and Fernando Martin-Sanchez and Victor Maojo and Ferran Sanz",

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

}

Pérez, G, Montes Diez, R, Hernández, JA & San Martín, J 2004, A new approach to automatic segmentation of bone in medical magnetic resonance imaging. in JM Barreiro, F Martin-Sanchez, V Maojo & F Sanz (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3337, pp. 21-26. https://doi.org/10.1007/978-3-540-30547-7_3

A new approach to automatic segmentation of bone in medical magnetic resonance imaging. / Pérez, Gabriela; Montes Diez, Raquel; Hernández, Juan A. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Jose M. Barreiro; Fernando Martin-Sanchez; Victor Maojo; Ferran Sanz. 2004. p. 21-26 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3337).

Research output: Chapter/Conference proceeding › Chapter › Academic

TY - CHAP

T1 - A new approach to automatic segmentation of bone in medical magnetic resonance imaging

AU - Pérez, Gabriela

AU - Montes Diez, Raquel

AU - Hernández, Juan A.

AU - San Martín, José

PY - 2004

Y1 - 2004

N2 - This paper presents the modelling and segmentation with correction of inhomogeneity in magnetic resonance imaging of shoulder. For that purpose a new heuristic is proposed using a morphological method and a pyramidal Gaussian decomposition (Discrete Gabor Transform). After the application of these filters, an automatic segmentation of a bone is possible despite of other semiautomatic methods present in the literature.

AB - This paper presents the modelling and segmentation with correction of inhomogeneity in magnetic resonance imaging of shoulder. For that purpose a new heuristic is proposed using a morphological method and a pyramidal Gaussian decomposition (Discrete Gabor Transform). After the application of these filters, an automatic segmentation of a bone is possible despite of other semiautomatic methods present in the literature.

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U2 - 10.1007/978-3-540-30547-7_3

DO - 10.1007/978-3-540-30547-7_3

M3 - Chapter

AN - SCOPUS:35048902490

SN - 9783540305477

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

SP - 21

EP - 26

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

A2 - Barreiro, Jose M.

A2 - Martin-Sanchez, Fernando

A2 - Maojo, Victor

A2 - Sanz, Ferran

ER -

Pérez G, Montes Diez R, Hernández JA, San Martín J. A new approach to automatic segmentation of bone in medical magnetic resonance imaging. In Barreiro JM, Martin-Sanchez F, Maojo V, Sanz F, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2004. p. 21-26. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3337). doi: 10.1007/978-3-540-30547-7_3

A new approach to automatic segmentation of bone in medical magnetic resonance imaging

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