Model-based 3D analysis of MR images of the brain

Louis Arata; Atam P. Dhawan; Joseph Broderick; Mary Gaskil

Model-based 3D analysis of MR images of the brain

Louis Arata, Atam P. Dhawan, Joseph Broderick, Mary Gaskil

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

Abstract

The results of a semi-automatic 3-D model-based image analysis system which is being developed to segment, register, and analyze magnetic resonance (MR) images of the brain are presented. This image analysis system uses current knowledge of neuroanatomy in the form of masks which can be updated after a successful 3-D analysis is completed and validated. Thus, the accuracy of the masks will improve as the system is used for 3-D analysis of MR scans of the brain. It is believed that by analyzing a large number of MR scans categorized in groups as defined by age, race, etc., the models can be continuously updated using the validated results of 3-D analysis.

Original language	English (US)
Title of host publication	Proceedings of the Annual Conference on Engineering in Medicine and Biology
Publisher	Publ by IEEE
Pages	1331-1332
Number of pages	2
Edition	pt 3
ISBN (Print)	0780302168
State	Published - 1991
Externally published	Yes
Event	Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA Duration: Oct 31 1991 → Nov 3 1991

Publication series

Name	Proceedings of the Annual Conference on Engineering in Medicine and Biology
Number	pt 3
Volume	13
ISSN (Print)	0589-1019

Other

Other	Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
City	Orlando, FL, USA
Period	10/31/91 → 11/3/91

All Science Journal Classification (ASJC) codes

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

@inproceedings{4f5ea8a5d689494381f2ee80206b134f,

title = "Model-based 3D analysis of MR images of the brain",

abstract = "The results of a semi-automatic 3-D model-based image analysis system which is being developed to segment, register, and analyze magnetic resonance (MR) images of the brain are presented. This image analysis system uses current knowledge of neuroanatomy in the form of masks which can be updated after a successful 3-D analysis is completed and validated. Thus, the accuracy of the masks will improve as the system is used for 3-D analysis of MR scans of the brain. It is believed that by analyzing a large number of MR scans categorized in groups as defined by age, race, etc., the models can be continuously updated using the validated results of 3-D analysis.",

author = "Louis Arata and Dhawan, {Atam P.} and Joseph Broderick and Mary Gaskil",

year = "1991",

language = "English (US)",

isbn = "0780302168",

series = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",

publisher = "Publ by IEEE",

number = "pt 3",

pages = "1331--1332",

booktitle = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",

edition = "pt 3",

note = "Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 31-10-1991 Through 03-11-1991",

}

Arata, L, Dhawan, AP, Broderick, J & Gaskil, M 1991, Model-based 3D analysis of MR images of the brain. in Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 3 edn, Proceedings of the Annual Conference on Engineering in Medicine and Biology, no. pt 3, vol. 13, Publ by IEEE, pp. 1331-1332, Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, USA, 10/31/91.

Model-based 3D analysis of MR images of the brain. / Arata, Louis; Dhawan, Atam P.; Broderick, Joseph et al.
Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 3. ed. Publ by IEEE, 1991. p. 1331-1332 (Proceedings of the Annual Conference on Engineering in Medicine and Biology; Vol. 13, No. pt 3).

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

TY - GEN

T1 - Model-based 3D analysis of MR images of the brain

AU - Arata, Louis

AU - Dhawan, Atam P.

AU - Broderick, Joseph

AU - Gaskil, Mary

PY - 1991

Y1 - 1991

N2 - The results of a semi-automatic 3-D model-based image analysis system which is being developed to segment, register, and analyze magnetic resonance (MR) images of the brain are presented. This image analysis system uses current knowledge of neuroanatomy in the form of masks which can be updated after a successful 3-D analysis is completed and validated. Thus, the accuracy of the masks will improve as the system is used for 3-D analysis of MR scans of the brain. It is believed that by analyzing a large number of MR scans categorized in groups as defined by age, race, etc., the models can be continuously updated using the validated results of 3-D analysis.

AB - The results of a semi-automatic 3-D model-based image analysis system which is being developed to segment, register, and analyze magnetic resonance (MR) images of the brain are presented. This image analysis system uses current knowledge of neuroanatomy in the form of masks which can be updated after a successful 3-D analysis is completed and validated. Thus, the accuracy of the masks will improve as the system is used for 3-D analysis of MR scans of the brain. It is believed that by analyzing a large number of MR scans categorized in groups as defined by age, race, etc., the models can be continuously updated using the validated results of 3-D analysis.

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M3 - Conference contribution

AN - SCOPUS:0026263867

SN - 0780302168

T3 - Proceedings of the Annual Conference on Engineering in Medicine and Biology

SP - 1331

EP - 1332

BT - Proceedings of the Annual Conference on Engineering in Medicine and Biology

PB - Publ by IEEE

T2 - Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 31 October 1991 through 3 November 1991

ER -

Model-based 3D analysis of MR images of the brain

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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