Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types

Hassan Khotanlou; Jamal Atif; Elsa Angelini; Hugues Duffau; Isabelle Bloch

doi:10.1109/ISBI.2007.356920

Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types

Hassan Khotanlou
, Jamal Atif
, Elsa Angelini
, Hugues Duffau
, Isabelle Bloch

CNRS LTCI
Université des Antilles et de la Guyane
Department of Neurosurgery
Hôpital Gui de Chauliac

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

6 Citations (Scopus)

Abstract

This paper introduces a novel methodology for the segmentation of internal brain structures in MRI volumes in the presence of a tumor. The proposed method relies on an initial segmentation of the tumor. Based on the tumor's type, a set of spatial relations between internal structures, remaining stable even in presence of the pathology, is established. Segmentation and recognition of surrounding anatomical structures are based on prior knowledge about their spatial arrangement. Segmentation results on tumors inducing small or large deformations are provided to illustrate the potential of the approach.

Original language	English
Title of host publication	2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro - Proceedings
Publisher	IEEE Computer Society
Pages	588-591
Number of pages	4
ISBN (Print)	1424406722, 9781424406722
DOIs	https://doi.org/10.1109/ISBI.2007.356920
Publication status	Published - 1 Jan 2007
Externally published	Yes
Event	4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007 - Arlington, VA, United States Duration: 12 Apr 2007 → 15 Apr 2007

Publication series

Name	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Conference

Conference	4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007
Country/Territory	United States
City	Arlington, VA
Period	12/04/07 → 15/04/07

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10.1109/ISBI.2007.356920

Cite this

Khotanlou, H., Atif, J., Angelini, E., Duffau, H., & Bloch, I. (2007). Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 588-591). Article 4193354 (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). IEEE Computer Society. https://doi.org/10.1109/ISBI.2007.356920

Khotanlou, Hassan ; Atif, Jamal ; Angelini, Elsa et al. / Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types. 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE Computer Society, 2007. pp. 588-591 (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings).

@inproceedings{6f9d7c64b0684573a9f6cfbdea192e72,

title = "Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types",

abstract = "This paper introduces a novel methodology for the segmentation of internal brain structures in MRI volumes in the presence of a tumor. The proposed method relies on an initial segmentation of the tumor. Based on the tumor's type, a set of spatial relations between internal structures, remaining stable even in presence of the pathology, is established. Segmentation and recognition of surrounding anatomical structures are based on prior knowledge about their spatial arrangement. Segmentation results on tumors inducing small or large deformations are provided to illustrate the potential of the approach.",

author = "Hassan Khotanlou and Jamal Atif and Elsa Angelini and Hugues Duffau and Isabelle Bloch",

year = "2007",

month = jan,

day = "1",

doi = "10.1109/ISBI.2007.356920",

language = "English",

isbn = "1424406722",

series = "2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",

publisher = "IEEE Computer Society",

pages = "588--591",

booktitle = "2007 4th IEEE International Symposium on Biomedical Imaging",

note = "4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007 ; Conference date: 12-04-2007 Through 15-04-2007",

}

Khotanlou, H, Atif, J, Angelini, E, Duffau, H & Bloch, I 2007, Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types. in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 4193354, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, IEEE Computer Society, pp. 588-591, 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007, Arlington, VA, United States, 12/04/07. https://doi.org/10.1109/ISBI.2007.356920

Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types. / Khotanlou, Hassan; Atif, Jamal; Angelini, Elsa et al.
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE Computer Society, 2007. p. 588-591 4193354 (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings).

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

TY - GEN

T1 - Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types

AU - Khotanlou, Hassan

AU - Atif, Jamal

AU - Angelini, Elsa

AU - Duffau, Hugues

AU - Bloch, Isabelle

PY - 2007/1/1

Y1 - 2007/1/1

N2 - This paper introduces a novel methodology for the segmentation of internal brain structures in MRI volumes in the presence of a tumor. The proposed method relies on an initial segmentation of the tumor. Based on the tumor's type, a set of spatial relations between internal structures, remaining stable even in presence of the pathology, is established. Segmentation and recognition of surrounding anatomical structures are based on prior knowledge about their spatial arrangement. Segmentation results on tumors inducing small or large deformations are provided to illustrate the potential of the approach.

AB - This paper introduces a novel methodology for the segmentation of internal brain structures in MRI volumes in the presence of a tumor. The proposed method relies on an initial segmentation of the tumor. Based on the tumor's type, a set of spatial relations between internal structures, remaining stable even in presence of the pathology, is established. Segmentation and recognition of surrounding anatomical structures are based on prior knowledge about their spatial arrangement. Segmentation results on tumors inducing small or large deformations are provided to illustrate the potential of the approach.

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DO - 10.1109/ISBI.2007.356920

M3 - Conference contribution

AN - SCOPUS:36348999745

SN - 1424406722

SN - 9781424406722

T3 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

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EP - 591

BT - 2007 4th IEEE International Symposium on Biomedical Imaging

PB - IEEE Computer Society

T2 - 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007

Y2 - 12 April 2007 through 15 April 2007

ER -

Khotanlou H, Atif J, Angelini E, Duffau H, Bloch I. Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE Computer Society. 2007. p. 588-591. 4193354. (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). doi: 10.1109/ISBI.2007.356920

Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types

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