Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury

Emanuele Monti, Valentina Pedoia, Elisabetta Binaghi, Alessandro De Benedictis, Sergio Balbi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The brain volume is a biomarker for neurodegenerative diseases therefore quantitative measurement of change in brain size and shape (e.g., to estimate atrophy) is an important current area of research. New methods of change detection are proposed in an attempt to improve accuracy, robustness, and level of automation. In this work a new strategy for estimating the prognostic relevance of longitudinal brain atrophy in post-traumatic diffuse axonal injury is presented.A key point in the strategy is the correlation of the changes in the brain volume and the patient response to neuropsychological assessment; an accurate and robust brain segmentation method is required. In this work a graph-based segmentation framework is adopted within the overall procedure to extract the volume changes of White Matter (WM), Gray Matter (GM) and CSF Cerebral Spinal Fluid (CSF).

Original languageEnglish
Title of host publicationComputational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012
Pages297-302
Number of pages6
Publication statusPublished - 2012
Event3rd International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, CompIMAGE 2012 - Rome, Italy
Duration: Sep 5 2012Sep 7 2012

Other

Other3rd International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, CompIMAGE 2012
CountryItaly
CityRome
Period9/5/129/7/12

Fingerprint

Magnetic resonance imaging
Brain
Graph in graph theory
Segmentation
Neurodegenerative diseases
Fluid
Fluids
Change Detection
Biomarkers
Robustness (control systems)
Automation
Relevance
Robustness
Estimate
Strategy

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Modelling and Simulation

Cite this

Monti, E., Pedoia, V., Binaghi, E., De Benedictis, A., & Balbi, S. (2012). Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury. In Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012 (pp. 297-302)

Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury. / Monti, Emanuele; Pedoia, Valentina; Binaghi, Elisabetta; De Benedictis, Alessandro; Balbi, Sergio.

Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012. 2012. p. 297-302.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Monti, E, Pedoia, V, Binaghi, E, De Benedictis, A & Balbi, S 2012, Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury. in Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012. pp. 297-302, 3rd International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, CompIMAGE 2012, Rome, Italy, 9/5/12.
Monti E, Pedoia V, Binaghi E, De Benedictis A, Balbi S. Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury. In Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012. 2012. p. 297-302
Monti, Emanuele ; Pedoia, Valentina ; Binaghi, Elisabetta ; De Benedictis, Alessandro ; Balbi, Sergio. / Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury. Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012. 2012. pp. 297-302
@inproceedings{81023f3f81a2413285e2c781d5926d8c,
title = "Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury",
abstract = "The brain volume is a biomarker for neurodegenerative diseases therefore quantitative measurement of change in brain size and shape (e.g., to estimate atrophy) is an important current area of research. New methods of change detection are proposed in an attempt to improve accuracy, robustness, and level of automation. In this work a new strategy for estimating the prognostic relevance of longitudinal brain atrophy in post-traumatic diffuse axonal injury is presented.A key point in the strategy is the correlation of the changes in the brain volume and the patient response to neuropsychological assessment; an accurate and robust brain segmentation method is required. In this work a graph-based segmentation framework is adopted within the overall procedure to extract the volume changes of White Matter (WM), Gray Matter (GM) and CSF Cerebral Spinal Fluid (CSF).",
author = "Emanuele Monti and Valentina Pedoia and Elisabetta Binaghi and {De Benedictis}, Alessandro and Sergio Balbi",
year = "2012",
language = "English",
isbn = "9780415621342",
pages = "297--302",
booktitle = "Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012",

}

TY - GEN

T1 - Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury

AU - Monti, Emanuele

AU - Pedoia, Valentina

AU - Binaghi, Elisabetta

AU - De Benedictis, Alessandro

AU - Balbi, Sergio

PY - 2012

Y1 - 2012

N2 - The brain volume is a biomarker for neurodegenerative diseases therefore quantitative measurement of change in brain size and shape (e.g., to estimate atrophy) is an important current area of research. New methods of change detection are proposed in an attempt to improve accuracy, robustness, and level of automation. In this work a new strategy for estimating the prognostic relevance of longitudinal brain atrophy in post-traumatic diffuse axonal injury is presented.A key point in the strategy is the correlation of the changes in the brain volume and the patient response to neuropsychological assessment; an accurate and robust brain segmentation method is required. In this work a graph-based segmentation framework is adopted within the overall procedure to extract the volume changes of White Matter (WM), Gray Matter (GM) and CSF Cerebral Spinal Fluid (CSF).

AB - The brain volume is a biomarker for neurodegenerative diseases therefore quantitative measurement of change in brain size and shape (e.g., to estimate atrophy) is an important current area of research. New methods of change detection are proposed in an attempt to improve accuracy, robustness, and level of automation. In this work a new strategy for estimating the prognostic relevance of longitudinal brain atrophy in post-traumatic diffuse axonal injury is presented.A key point in the strategy is the correlation of the changes in the brain volume and the patient response to neuropsychological assessment; an accurate and robust brain segmentation method is required. In this work a graph-based segmentation framework is adopted within the overall procedure to extract the volume changes of White Matter (WM), Gray Matter (GM) and CSF Cerebral Spinal Fluid (CSF).

UR - http://www.scopus.com/inward/record.url?scp=84867702068&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867702068&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9780415621342

SP - 297

EP - 302

BT - Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012

ER -