Content-based retrieval of brain diffusion magnetic resonance image

Siqi Liu; Nur Hadi; Sidong Liu; Sonia Pujol; Ron Kikinis; Fan Zhang; Dagan Feng; Weidong Cai

doi:10.1007/978-3-319-24471-6_5

Content-based retrieval of brain diffusion magnetic resonance image

Siqi Liu^*, Nur Hadi, Sidong Liu, Sonia Pujol, Ron Kikinis, Fan Zhang, Dagan Feng, Weidong Cai

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

The content-based retrieval of diffusion magnetic resonance (dMR) imaging data would enable a wide range of analyses on large databases with dMR images.This paper proposes a content-based retrieval framework for dMR images to explore the use of Diffusion Tensor Imaging (DTI) - derived parameters. The propagation graph algorithm is proposed for the query-centric retrieval of dMR subjects and the fusion of different features. The proposed framework was evaluated with ADNI database with 233 baseline dMR images. The preliminary results show that the proposed retrieval framework is able to retrieve subjects with similar neurodegenerative patterns.

Original language	English
Title of host publication	Multimodal Retrieval in the Medical Domain
Subtitle of host publication	First International Workshop, MRMD 2015, Revised Selected Papers
Editors	Henning Müller H., Oscar Alfonso Jimenez del Toro, Allan Hanbury, Georg Langs, Antonio Foncubierta Rodríguez
Place of Publication	Cham
Publisher	Springer-VDI-Verlag GmbH & Co. KG
Pages	54-60
Number of pages	7
ISBN (Electronic)	9783319244716
ISBN (Print)	9783319244709
DOIs	https://doi.org/10.1007/978-3-319-24471-6_5
Publication status	Published - 1 Jan 2015
Externally published	Yes
Event	1st International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015 - Vienna, Austria Duration: 29 Mar 2015 → 29 Mar 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9059
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015
Country/Territory	Austria
City	Vienna
Period	29/03/15 → 29/03/15

Access to Document

10.1007/978-3-319-24471-6_5

Cite this

Liu, S., Hadi, N., Liu, S., Pujol, S., Kikinis, R., Zhang, F., Feng, D., & Cai, W. (2015). Content-based retrieval of brain diffusion magnetic resonance image. In H. Müller H., O. A. J. del Toro, A. Hanbury, G. Langs, & A. F. Rodríguez (Eds.), Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Revised Selected Papers (pp. 54-60). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9059). Springer-VDI-Verlag GmbH & Co. KG. https://doi.org/10.1007/978-3-319-24471-6_5

Liu, Siqi ; Hadi, Nur ; Liu, Sidong et al. / Content-based retrieval of brain diffusion magnetic resonance image. Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Revised Selected Papers. editor / Henning Müller H. ; Oscar Alfonso Jimenez del Toro ; Allan Hanbury ; Georg Langs ; Antonio Foncubierta Rodríguez. Cham : Springer-VDI-Verlag GmbH & Co. KG, 2015. pp. 54-60 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{4352264c40f24c4185f82e18e292c6fb,

title = "Content-based retrieval of brain diffusion magnetic resonance image",

abstract = "The content-based retrieval of diffusion magnetic resonance (dMR) imaging data would enable a wide range of analyses on large databases with dMR images.This paper proposes a content-based retrieval framework for dMR images to explore the use of Diffusion Tensor Imaging (DTI) - derived parameters. The propagation graph algorithm is proposed for the query-centric retrieval of dMR subjects and the fusion of different features. The proposed framework was evaluated with ADNI database with 233 baseline dMR images. The preliminary results show that the proposed retrieval framework is able to retrieve subjects with similar neurodegenerative patterns.",

author = "Siqi Liu and Nur Hadi and Sidong Liu and Sonia Pujol and Ron Kikinis and Fan Zhang and Dagan Feng and Weidong Cai",

year = "2015",

month = jan,

day = "1",

doi = "10.1007/978-3-319-24471-6\_5",

language = "English",

isbn = "9783319244709",

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

publisher = "Springer-VDI-Verlag GmbH \& Co. KG",

pages = "54--60",

editor = "\{M{\"u}ller H.\}, Henning and \{del Toro\}, \{Oscar Alfonso Jimenez\} and Allan Hanbury and Georg Langs and Rodr{\'i}guez, \{Antonio Foncubierta\}",

booktitle = "Multimodal Retrieval in the Medical Domain",

address = "Germany",

note = "1st International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015 ; Conference date: 29-03-2015 Through 29-03-2015",

}

Liu, S, Hadi, N, Liu, S, Pujol, S, Kikinis, R, Zhang, F, Feng, D & Cai, W 2015, Content-based retrieval of brain diffusion magnetic resonance image. in H Müller H., OAJ del Toro, A Hanbury, G Langs & AF Rodríguez (eds), Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9059, Springer-VDI-Verlag GmbH & Co. KG, Cham, pp. 54-60, 1st International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015, Vienna, Austria, 29/03/15. https://doi.org/10.1007/978-3-319-24471-6_5

Content-based retrieval of brain diffusion magnetic resonance image. / Liu, Siqi; Hadi, Nur; Liu, Sidong et al.
Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Revised Selected Papers. ed. / Henning Müller H.; Oscar Alfonso Jimenez del Toro; Allan Hanbury; Georg Langs; Antonio Foncubierta Rodríguez. Cham: Springer-VDI-Verlag GmbH & Co. KG, 2015. p. 54-60 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9059).

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

TY - GEN

T1 - Content-based retrieval of brain diffusion magnetic resonance image

AU - Liu, Siqi

AU - Hadi, Nur

AU - Liu, Sidong

AU - Pujol, Sonia

AU - Kikinis, Ron

AU - Zhang, Fan

AU - Feng, Dagan

AU - Cai, Weidong

PY - 2015/1/1

Y1 - 2015/1/1

N2 - The content-based retrieval of diffusion magnetic resonance (dMR) imaging data would enable a wide range of analyses on large databases with dMR images.This paper proposes a content-based retrieval framework for dMR images to explore the use of Diffusion Tensor Imaging (DTI) - derived parameters. The propagation graph algorithm is proposed for the query-centric retrieval of dMR subjects and the fusion of different features. The proposed framework was evaluated with ADNI database with 233 baseline dMR images. The preliminary results show that the proposed retrieval framework is able to retrieve subjects with similar neurodegenerative patterns.

AB - The content-based retrieval of diffusion magnetic resonance (dMR) imaging data would enable a wide range of analyses on large databases with dMR images.This paper proposes a content-based retrieval framework for dMR images to explore the use of Diffusion Tensor Imaging (DTI) - derived parameters. The propagation graph algorithm is proposed for the query-centric retrieval of dMR subjects and the fusion of different features. The proposed framework was evaluated with ADNI database with 233 baseline dMR images. The preliminary results show that the proposed retrieval framework is able to retrieve subjects with similar neurodegenerative patterns.

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U2 - 10.1007/978-3-319-24471-6_5

DO - 10.1007/978-3-319-24471-6_5

M3 - Conference proceeding contribution

AN - SCOPUS:84952778382

SN - 9783319244709

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

SP - 54

EP - 60

BT - Multimodal Retrieval in the Medical Domain

A2 - Müller H., Henning

A2 - del Toro, Oscar Alfonso Jimenez

A2 - Hanbury, Allan

A2 - Langs, Georg

A2 - Rodríguez, Antonio Foncubierta

PB - Springer-VDI-Verlag GmbH & Co. KG

CY - Cham

T2 - 1st International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015

Y2 - 29 March 2015 through 29 March 2015

ER -

Liu S, Hadi N, Liu S, Pujol S, Kikinis R, Zhang F et al. Content-based retrieval of brain diffusion magnetic resonance image. In Müller H. H, del Toro OAJ, Hanbury A, Langs G, Rodríguez AF, editors, Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Revised Selected Papers. Cham: Springer-VDI-Verlag GmbH & Co. KG. 2015. p. 54-60. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-24471-6_5

Content-based retrieval of brain diffusion magnetic resonance image

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