Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI

Maria I. Iacono; Nikos Makris; Luca Mainardi; John Gale; Andre Van Der Kouwe; Azma Mareyam; Jonathan R. Polimeni; Lawrence L. Wald; Bruce Fischl; Emad N. Eskandar; Giorgio Bonmassar

doi:10.1109/IEMBS.2011.6091381

Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI

Maria I. Iacono, Nikos Makris, Luca Mainardi, John Gale, Andre Van Der Kouwe, Azma Mareyam, Jonathan R. Polimeni, Lawrence L. Wald, Bruce Fischl, Emad N. Eskandar, Giorgio Bonmassar

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

3 Scopus citations

Abstract

In this paper we report a method to automatically segment the internal part of globus pallidus (GPi) on the pre-operative low-resolution magnetic resonance images (MRIs) of patients affected by Parkinson's disease. Herein we used an ultra-high resolution human brain dataset as electronic atlas of reference on which we segmented the GPi. First, we registered the ultra-high resolution dataset on the low-resolution dataset using a landmarks-based rigid registration. Then an affine and a non-rigid surface-based registration guided by the structures that surround the target was applied in order to propagate the labels of the GPi on the low-resolution un-segmented dataset and to accurately outline the target. The mapping of the atlas on the low-resolution MRI provided a highly accurate anatomical detail that can be useful for localizing the target.

Original language	English (US)
Title of host publication	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages	5706-5709
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2011.6091381
State	Published - 2011
Externally published	Yes
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: Aug 30 2011 → Sep 3 2011

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Other

Other	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/Territory	United States
City	Boston, MA
Period	8/30/11 → 9/3/11

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IEMBS.2011.6091381

Cite this

Iacono, M. I., Makris, N., Mainardi, L., Gale, J., Van Der Kouwe, A., Mareyam, A., Polimeni, J. R., Wald, L. L., Fischl, B., Eskandar, E. N., & Bonmassar, G. (2011). Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 5706-5709). Article 6091381 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6091381

Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI. / Iacono, Maria I.; Makris, Nikos; Mainardi, Luca et al.
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 5706-5709 6091381 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

Iacono, MI, Makris, N, Mainardi, L, Gale, J, Van Der Kouwe, A, Mareyam, A, Polimeni, JR, Wald, LL, Fischl, B, Eskandar, EN & Bonmassar, G 2011, Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6091381, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 5706-5709, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 8/30/11. https://doi.org/10.1109/IEMBS.2011.6091381

Iacono MI, Makris N, Mainardi L, Gale J, Van Der Kouwe A, Mareyam A et al. Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 5706-5709. 6091381. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.2011.6091381

Iacono, Maria I. ; Makris, Nikos ; Mainardi, Luca et al. / Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. pp. 5706-5709 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{8c17699a55804fe996d849a63ff829f5,

title = "Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI",

abstract = "In this paper we report a method to automatically segment the internal part of globus pallidus (GPi) on the pre-operative low-resolution magnetic resonance images (MRIs) of patients affected by Parkinson's disease. Herein we used an ultra-high resolution human brain dataset as electronic atlas of reference on which we segmented the GPi. First, we registered the ultra-high resolution dataset on the low-resolution dataset using a landmarks-based rigid registration. Then an affine and a non-rigid surface-based registration guided by the structures that surround the target was applied in order to propagate the labels of the GPi on the low-resolution un-segmented dataset and to accurately outline the target. The mapping of the atlas on the low-resolution MRI provided a highly accurate anatomical detail that can be useful for localizing the target.",

author = "Iacono, {Maria I.} and Nikos Makris and Luca Mainardi and John Gale and {Van Der Kouwe}, Andre and Azma Mareyam and Polimeni, {Jonathan R.} and Wald, {Lawrence L.} and Bruce Fischl and Eskandar, {Emad N.} and Giorgio Bonmassar",

year = "2011",

doi = "10.1109/IEMBS.2011.6091381",

language = "English (US)",

isbn = "9781424441211",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

pages = "5706--5709",

booktitle = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011",

note = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 ; Conference date: 30-08-2011 Through 03-09-2011",

}

TY - GEN

T1 - Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI

AU - Iacono, Maria I.

AU - Makris, Nikos

AU - Mainardi, Luca

AU - Gale, John

AU - Van Der Kouwe, Andre

AU - Mareyam, Azma

AU - Polimeni, Jonathan R.

AU - Wald, Lawrence L.

AU - Fischl, Bruce

AU - Eskandar, Emad N.

AU - Bonmassar, Giorgio

PY - 2011

Y1 - 2011

N2 - In this paper we report a method to automatically segment the internal part of globus pallidus (GPi) on the pre-operative low-resolution magnetic resonance images (MRIs) of patients affected by Parkinson's disease. Herein we used an ultra-high resolution human brain dataset as electronic atlas of reference on which we segmented the GPi. First, we registered the ultra-high resolution dataset on the low-resolution dataset using a landmarks-based rigid registration. Then an affine and a non-rigid surface-based registration guided by the structures that surround the target was applied in order to propagate the labels of the GPi on the low-resolution un-segmented dataset and to accurately outline the target. The mapping of the atlas on the low-resolution MRI provided a highly accurate anatomical detail that can be useful for localizing the target.

AB - In this paper we report a method to automatically segment the internal part of globus pallidus (GPi) on the pre-operative low-resolution magnetic resonance images (MRIs) of patients affected by Parkinson's disease. Herein we used an ultra-high resolution human brain dataset as electronic atlas of reference on which we segmented the GPi. First, we registered the ultra-high resolution dataset on the low-resolution dataset using a landmarks-based rigid registration. Then an affine and a non-rigid surface-based registration guided by the structures that surround the target was applied in order to propagate the labels of the GPi on the low-resolution un-segmented dataset and to accurately outline the target. The mapping of the atlas on the low-resolution MRI provided a highly accurate anatomical detail that can be useful for localizing the target.

UR - http://www.scopus.com/inward/record.url?scp=84862280688&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84862280688&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2011.6091381

DO - 10.1109/IEMBS.2011.6091381

M3 - Conference contribution

C2 - 22255635

AN - SCOPUS:84862280688

SN - 9781424441211

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 5706

EP - 5709

BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011

T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011

Y2 - 30 August 2011 through 3 September 2011

ER -

Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI

Abstract

Publication series

Other

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this