Localized functional neuroimaging retrieval using 3D discrete curvelet transform

Sidong Liu; Weidong Cai; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; Dagan Feng

doi:10.1109/ISBI.2011.5872774

Localized functional neuroimaging retrieval using 3D discrete curvelet transform

Sidong Liu^*, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, Dagan Feng

^*Corresponding author for this work

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

16 Citations (Scopus)

Abstract

Neuroimaging is a fundamental component of the neurological diagnosis. The greatly increased volume and complexity of neuroimaging datasets has created a need for efficient image management and retrieval. In this paper, we advance a content-based retrieval framework for 3D functional neuroimaging data based on 3D curvelet transforms. The localized volumetric texture feature was extracted by a 3D digital curvelet transform from parametric image of cerebral metabolic rate of glucose consumption with a set of adaptive disorder-oriented masks for each type of neurological disorder. The results, using 142 clinical dementia studies, show that our proposed approach supports efficient and high performance neuroimaging data retrieval.

Original language	English
Title of host publication	2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI'11
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1877-1880
Number of pages	4
ISBN (Print)	9781424441280
DOIs	https://doi.org/10.1109/ISBI.2011.5872774
Publication status	Published - 2 Nov 2011
Externally published	Yes
Event	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: 30 Mar 2011 → 2 Apr 2011

Conference

Conference	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/Territory	United States
City	Chicago, IL
Period	30/03/11 → 2/04/11

Keywords

3D digital curvelet transform
brain imaging
functional imaging
localized retrieval

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10.1109/ISBI.2011.5872774

Cite this

Liu, S., Cai, W., Wen, L., Eberl, S., Fulham, M. J., & Feng, D. (2011). Localized functional neuroimaging retrieval using 3D discrete curvelet transform. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 (pp. 1877-1880). Article 5872774 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISBI.2011.5872774

@inproceedings{d357cf77e13041afaad422b2a2f2d6a9,

title = "Localized functional neuroimaging retrieval using 3D discrete curvelet transform",

abstract = "Neuroimaging is a fundamental component of the neurological diagnosis. The greatly increased volume and complexity of neuroimaging datasets has created a need for efficient image management and retrieval. In this paper, we advance a content-based retrieval framework for 3D functional neuroimaging data based on 3D curvelet transforms. The localized volumetric texture feature was extracted by a 3D digital curvelet transform from parametric image of cerebral metabolic rate of glucose consumption with a set of adaptive disorder-oriented masks for each type of neurological disorder. The results, using 142 clinical dementia studies, show that our proposed approach supports efficient and high performance neuroimaging data retrieval.",

keywords = "3D digital curvelet transform, brain imaging, functional imaging, localized retrieval",

author = "Sidong Liu and Weidong Cai and Lingfeng Wen and Stefan Eberl and Fulham, \{Michael J.\} and Dagan Feng",

year = "2011",

month = nov,

day = "2",

doi = "10.1109/ISBI.2011.5872774",

language = "English",

isbn = "9781424441280",

pages = "1877--1880",

booktitle = "2011 8th IEEE International Symposium on Biomedical Imaging",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 ; Conference date: 30-03-2011 Through 02-04-2011",

}

Liu, S, Cai, W, Wen, L, Eberl, S, Fulham, MJ & Feng, D 2011, Localized functional neuroimaging retrieval using 3D discrete curvelet transform. in 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11., 5872774, Institute of Electrical and Electronics Engineers (IEEE), pp. 1877-1880, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, United States, 30/03/11. https://doi.org/10.1109/ISBI.2011.5872774

Localized functional neuroimaging retrieval using 3D discrete curvelet transform. / Liu, Sidong; Cai, Weidong; Wen, Lingfeng et al.
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. Institute of Electrical and Electronics Engineers (IEEE), 2011. p. 1877-1880 5872774.

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

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T1 - Localized functional neuroimaging retrieval using 3D discrete curvelet transform

AU - Liu, Sidong

AU - Cai, Weidong

AU - Wen, Lingfeng

AU - Eberl, Stefan

AU - Fulham, Michael J.

AU - Feng, Dagan

PY - 2011/11/2

Y1 - 2011/11/2

N2 - Neuroimaging is a fundamental component of the neurological diagnosis. The greatly increased volume and complexity of neuroimaging datasets has created a need for efficient image management and retrieval. In this paper, we advance a content-based retrieval framework for 3D functional neuroimaging data based on 3D curvelet transforms. The localized volumetric texture feature was extracted by a 3D digital curvelet transform from parametric image of cerebral metabolic rate of glucose consumption with a set of adaptive disorder-oriented masks for each type of neurological disorder. The results, using 142 clinical dementia studies, show that our proposed approach supports efficient and high performance neuroimaging data retrieval.

AB - Neuroimaging is a fundamental component of the neurological diagnosis. The greatly increased volume and complexity of neuroimaging datasets has created a need for efficient image management and retrieval. In this paper, we advance a content-based retrieval framework for 3D functional neuroimaging data based on 3D curvelet transforms. The localized volumetric texture feature was extracted by a 3D digital curvelet transform from parametric image of cerebral metabolic rate of glucose consumption with a set of adaptive disorder-oriented masks for each type of neurological disorder. The results, using 142 clinical dementia studies, show that our proposed approach supports efficient and high performance neuroimaging data retrieval.

KW - 3D digital curvelet transform

KW - brain imaging

KW - functional imaging

KW - localized retrieval

UR - https://www.scopus.com/pages/publications/80055026253

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DO - 10.1109/ISBI.2011.5872774

M3 - Conference proceeding contribution

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EP - 1880

BT - 2011 8th IEEE International Symposium on Biomedical Imaging

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11

Y2 - 30 March 2011 through 2 April 2011

ER -

Localized functional neuroimaging retrieval using 3D discrete curvelet transform

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