Quantitation of metabolic change in serial FDG-PET brain scans of pediatric patients with traumatic brain injury

Mike Georgiou, R. A. Kuker, J. Kuluz, George N Sfakianakis

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

Abstract

The aim of this research was to develop a method to quantitate the changes in regional brain metabolism on serial FDG-PET scans in children with Traumatic Brain Injury (TBI) in order to determine their response to treatment with psycho stimulant medication. Methods: A Fusion-Based Image Subtraction (FBIS) technique was developed in order to calculate the differences in metabolism between baseline and follow-up scans. The FDG-PET brain images were count normalized to account for differences in the injected activity. Image registration was then performed using a 3D normalized mutual information algorithm and subsequently the fused images were subtracted on a pixel by pixel basis. FBIS extracted areas of increased or decreased metabolism were then compared to a database of normal subjects using NeuroQ (Syntermed, Inc.) and analyzed for statistical significance in cluster areas defined by a standard brain template. Results: Validation of the technique was performed using images from 15 pediatric cases with severe TBI who had baseline (pre-treatment) and follow-up (post-treatment) scans. The FBIS technique was found to be accurate in detecting and localizing the statistically significant changes in regional cerebral metabolism and provided useful data that could be applied clinically. Conclusions: The developed FBIS method identified and quantified areas of regional brain metabolic change thus providing a way to evaluate the effects of pharmacologic treatment in children with TBI. This quantitative technique could be used as an adjunct tool to enhance the interpretation of FDG-PET brain images and aid the referring clinician to assess the response to pharmacologic treatment.

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages61-62
Number of pages2
Volume24
DOIs
StatePublished - Nov 6 2009
Event25th Southern Biomedical Engineering Conference 2009 - Miami, FL, United States
Duration: May 15 2009May 17 2009

Other

Other25th Southern Biomedical Engineering Conference 2009
CountryUnited States
CityMiami, FL
Period5/15/095/17/09

Fingerprint

Pediatrics
Brain
Metabolism
Fusion reactions
Pixels
Image registration

Keywords

  • Brain
  • FBIS
  • PET
  • TBI

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Quantitation of metabolic change in serial FDG-PET brain scans of pediatric patients with traumatic brain injury. / Georgiou, Mike; Kuker, R. A.; Kuluz, J.; Sfakianakis, George N.

IFMBE Proceedings. Vol. 24 2009. p. 61-62.

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

Georgiou, M, Kuker, RA, Kuluz, J & Sfakianakis, GN 2009, Quantitation of metabolic change in serial FDG-PET brain scans of pediatric patients with traumatic brain injury. in IFMBE Proceedings. vol. 24, pp. 61-62, 25th Southern Biomedical Engineering Conference 2009, Miami, FL, United States, 5/15/09. https://doi.org/10.1007/978-3-642-01697-4_22
Georgiou, Mike ; Kuker, R. A. ; Kuluz, J. ; Sfakianakis, George N. / Quantitation of metabolic change in serial FDG-PET brain scans of pediatric patients with traumatic brain injury. IFMBE Proceedings. Vol. 24 2009. pp. 61-62
@inproceedings{06d11d1d05e04410b6f6f27217587a19,
title = "Quantitation of metabolic change in serial FDG-PET brain scans of pediatric patients with traumatic brain injury",
abstract = "The aim of this research was to develop a method to quantitate the changes in regional brain metabolism on serial FDG-PET scans in children with Traumatic Brain Injury (TBI) in order to determine their response to treatment with psycho stimulant medication. Methods: A Fusion-Based Image Subtraction (FBIS) technique was developed in order to calculate the differences in metabolism between baseline and follow-up scans. The FDG-PET brain images were count normalized to account for differences in the injected activity. Image registration was then performed using a 3D normalized mutual information algorithm and subsequently the fused images were subtracted on a pixel by pixel basis. FBIS extracted areas of increased or decreased metabolism were then compared to a database of normal subjects using NeuroQ (Syntermed, Inc.) and analyzed for statistical significance in cluster areas defined by a standard brain template. Results: Validation of the technique was performed using images from 15 pediatric cases with severe TBI who had baseline (pre-treatment) and follow-up (post-treatment) scans. The FBIS technique was found to be accurate in detecting and localizing the statistically significant changes in regional cerebral metabolism and provided useful data that could be applied clinically. Conclusions: The developed FBIS method identified and quantified areas of regional brain metabolic change thus providing a way to evaluate the effects of pharmacologic treatment in children with TBI. This quantitative technique could be used as an adjunct tool to enhance the interpretation of FDG-PET brain images and aid the referring clinician to assess the response to pharmacologic treatment.",
keywords = "Brain, FBIS, PET, TBI",
author = "Mike Georgiou and Kuker, {R. A.} and J. Kuluz and Sfakianakis, {George N}",
year = "2009",
month = "11",
day = "6",
doi = "10.1007/978-3-642-01697-4_22",
language = "English",
isbn = "9783642016967",
volume = "24",
pages = "61--62",
booktitle = "IFMBE Proceedings",

}

TY - GEN

T1 - Quantitation of metabolic change in serial FDG-PET brain scans of pediatric patients with traumatic brain injury

AU - Georgiou, Mike

AU - Kuker, R. A.

AU - Kuluz, J.

AU - Sfakianakis, George N

PY - 2009/11/6

Y1 - 2009/11/6

N2 - The aim of this research was to develop a method to quantitate the changes in regional brain metabolism on serial FDG-PET scans in children with Traumatic Brain Injury (TBI) in order to determine their response to treatment with psycho stimulant medication. Methods: A Fusion-Based Image Subtraction (FBIS) technique was developed in order to calculate the differences in metabolism between baseline and follow-up scans. The FDG-PET brain images were count normalized to account for differences in the injected activity. Image registration was then performed using a 3D normalized mutual information algorithm and subsequently the fused images were subtracted on a pixel by pixel basis. FBIS extracted areas of increased or decreased metabolism were then compared to a database of normal subjects using NeuroQ (Syntermed, Inc.) and analyzed for statistical significance in cluster areas defined by a standard brain template. Results: Validation of the technique was performed using images from 15 pediatric cases with severe TBI who had baseline (pre-treatment) and follow-up (post-treatment) scans. The FBIS technique was found to be accurate in detecting and localizing the statistically significant changes in regional cerebral metabolism and provided useful data that could be applied clinically. Conclusions: The developed FBIS method identified and quantified areas of regional brain metabolic change thus providing a way to evaluate the effects of pharmacologic treatment in children with TBI. This quantitative technique could be used as an adjunct tool to enhance the interpretation of FDG-PET brain images and aid the referring clinician to assess the response to pharmacologic treatment.

AB - The aim of this research was to develop a method to quantitate the changes in regional brain metabolism on serial FDG-PET scans in children with Traumatic Brain Injury (TBI) in order to determine their response to treatment with psycho stimulant medication. Methods: A Fusion-Based Image Subtraction (FBIS) technique was developed in order to calculate the differences in metabolism between baseline and follow-up scans. The FDG-PET brain images were count normalized to account for differences in the injected activity. Image registration was then performed using a 3D normalized mutual information algorithm and subsequently the fused images were subtracted on a pixel by pixel basis. FBIS extracted areas of increased or decreased metabolism were then compared to a database of normal subjects using NeuroQ (Syntermed, Inc.) and analyzed for statistical significance in cluster areas defined by a standard brain template. Results: Validation of the technique was performed using images from 15 pediatric cases with severe TBI who had baseline (pre-treatment) and follow-up (post-treatment) scans. The FBIS technique was found to be accurate in detecting and localizing the statistically significant changes in regional cerebral metabolism and provided useful data that could be applied clinically. Conclusions: The developed FBIS method identified and quantified areas of regional brain metabolic change thus providing a way to evaluate the effects of pharmacologic treatment in children with TBI. This quantitative technique could be used as an adjunct tool to enhance the interpretation of FDG-PET brain images and aid the referring clinician to assess the response to pharmacologic treatment.

KW - Brain

KW - FBIS

KW - PET

KW - TBI

UR - http://www.scopus.com/inward/record.url?scp=70350605792&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70350605792&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-01697-4_22

DO - 10.1007/978-3-642-01697-4_22

M3 - Conference contribution

SN - 9783642016967

VL - 24

SP - 61

EP - 62

BT - IFMBE Proceedings

ER -