Soft tissue discrimination using magnetic resonance elastography with a new elastic level set model

Bing Nan Li, Chee Kong Chui, Sim Heng Ong, Toshikatsu Washio, Tomokazu Numano, Stephen Chang, Sudhakar K Venkatesh, Etsuko Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Magnetic resonance elastography (MRE) noninvasively images the propagation of mechanical waves within soft tissues. The elastic properties of soft tissues can then be quantified from MRE wave snapshots. Various algorithms have been proposed to obtain their inversion for soft tissue elasticity. Anomalies are assumed to be discernible in the elasticity map. We propose a new elastic level set model to directly detect and track abnormal soft tissues in MRE wave images. It is derived from the Mumford-Shah functional, and employs partial differential equations for function modeling and smoothing. This level set model can interpret MRE wave images without elasticity reconstruction. The experimental results on synthetic and real MRE wave images confirm its effectiveness for soft tissue discrimination.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages76-83
Number of pages8
Volume6357 LNCS
DOIs
StatePublished - 2010
Externally publishedYes
Event1st International Workshop on Machine Learning in Medical Imaging, MLMI 2010, Held in Conjunction with MICCAI 2010 - Beijing, China
Duration: Sep 20 2010Sep 20 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6357 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Workshop on Machine Learning in Medical Imaging, MLMI 2010, Held in Conjunction with MICCAI 2010
CountryChina
CityBeijing
Period9/20/109/20/10

Fingerprint

Magnetic Resonance
Soft Tissue
Magnetic resonance
Level Set
Discrimination
Tissue
Elasticity
Mechanical waves
Mumford-Shah Functional
Model
Elastic Properties
Snapshot
Partial differential equations
Anomaly
Smoothing
Inversion
Partial differential equation
Propagation
Experimental Results
Modeling

Keywords

  • Elastic imaging
  • level set methods
  • magnetic resonance elastography (MRE)
  • medical image segmentation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Li, B. N., Chui, C. K., Ong, S. H., Washio, T., Numano, T., Chang, S., ... Kobayashi, E. (2010). Soft tissue discrimination using magnetic resonance elastography with a new elastic level set model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6357 LNCS, pp. 76-83). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6357 LNCS). https://doi.org/10.1007/978-3-642-15948-0_10

Soft tissue discrimination using magnetic resonance elastography with a new elastic level set model. / Li, Bing Nan; Chui, Chee Kong; Ong, Sim Heng; Washio, Toshikatsu; Numano, Tomokazu; Chang, Stephen; Venkatesh, Sudhakar K; Kobayashi, Etsuko.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6357 LNCS 2010. p. 76-83 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6357 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, BN, Chui, CK, Ong, SH, Washio, T, Numano, T, Chang, S, Venkatesh, SK & Kobayashi, E 2010, Soft tissue discrimination using magnetic resonance elastography with a new elastic level set model. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6357 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6357 LNCS, pp. 76-83, 1st International Workshop on Machine Learning in Medical Imaging, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, 9/20/10. https://doi.org/10.1007/978-3-642-15948-0_10
Li BN, Chui CK, Ong SH, Washio T, Numano T, Chang S et al. Soft tissue discrimination using magnetic resonance elastography with a new elastic level set model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6357 LNCS. 2010. p. 76-83. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-15948-0_10
Li, Bing Nan ; Chui, Chee Kong ; Ong, Sim Heng ; Washio, Toshikatsu ; Numano, Tomokazu ; Chang, Stephen ; Venkatesh, Sudhakar K ; Kobayashi, Etsuko. / Soft tissue discrimination using magnetic resonance elastography with a new elastic level set model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6357 LNCS 2010. pp. 76-83 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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