Dynamic multi-bed FDG PET imaging: Feasibility and optimization

Nicolas A. Karakatsanis, Martin A. Lodge, Yun Zhou, Joyce Mhlanga, Muhammad A. Chaudhry, Abdel K. Tahari, William P. Segars, Richard L. Wahl, Arman Rahmim

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

17 Citations (Scopus)

Abstract

Multi-Bed FDG PET/CT as applied to oncologic imaging is currently widely and routinely used for assessment of localized and metastatic disease involvement. In the past, based on conventional (single-bed) dynamic PET imaging, standard tracer kinetic modeling techniques have been developed to estimate the FDG uptake rate K i. However, routine clinical multi-bed FDG PET imaging commonly involves a single time frame per bed, i.e. static imaging, and the standardized uptake value (SUV), a surrogate of metabolic activity, is employed to estimate the uptake rate K i. The accuracy depends on two conditions: (i) in the voxel or region of interest, contribution of non-phosphorylated FDG is negligible relative to phosphorylated FDG, and (ii) time integral of plasma FDG concentration is proportional to injected dose divided by lean body mass, which can fail in clinical FDG PET imaging and pose problems in differentiating malignant from benign tumors. The objective of the proposed work is to facilitate, for the fist time, a transition from static to dynamic multi-bed FDG PET/CT imaging in clinically feasible times where, given the challenge of sparse temporal sampling at each bed, novel dynamic acquisition schemes should be employed to yield quantitative whole-body imaging of FDG uptake. Thus, a set of novel dynamic multi-bed PET image acquisition schemes have been modeled, using Monte Carlo simulations, to quantitatively evaluate the clinical feasibility of the method and optimize the number of passes per bed and the total study duration. It has been determined that a data acquisition scheme consisting of 6 whole-body passes and constant time frames of 45sec produces parametric images with the optimal noise vs. bias performance. Finally, clinical whole-body patient data have been acquired dynamically and results demonstrate the potential of the proposed method in enhancing treatment response monitoring capabilities of clinical PET studies.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium Conference Record
Pages3863-3870
Number of pages8
DOIs
StatePublished - 2012
Externally publishedYes
Event2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011 - Valencia, Spain
Duration: Oct 23 2011Oct 29 2011

Other

Other2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
CountrySpain
CityValencia
Period10/23/1110/29/11

Fingerprint

beds
optimization
Whole Body Imaging
acquisition
Noise
estimates
time constant
data acquisition
tracers
tumors
sampling
dosage
Neoplasms
kinetics
simulation
Therapeutics

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Cite this

Karakatsanis, N. A., Lodge, M. A., Zhou, Y., Mhlanga, J., Chaudhry, M. A., Tahari, A. K., ... Rahmim, A. (2012). Dynamic multi-bed FDG PET imaging: Feasibility and optimization. In IEEE Nuclear Science Symposium Conference Record (pp. 3863-3870). [6153735] https://doi.org/10.1109/NSSMIC.2011.6153735

Dynamic multi-bed FDG PET imaging : Feasibility and optimization. / Karakatsanis, Nicolas A.; Lodge, Martin A.; Zhou, Yun; Mhlanga, Joyce; Chaudhry, Muhammad A.; Tahari, Abdel K.; Segars, William P.; Wahl, Richard L.; Rahmim, Arman.

IEEE Nuclear Science Symposium Conference Record. 2012. p. 3863-3870 6153735.

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

Karakatsanis, NA, Lodge, MA, Zhou, Y, Mhlanga, J, Chaudhry, MA, Tahari, AK, Segars, WP, Wahl, RL & Rahmim, A 2012, Dynamic multi-bed FDG PET imaging: Feasibility and optimization. in IEEE Nuclear Science Symposium Conference Record., 6153735, pp. 3863-3870, 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011, Valencia, Spain, 10/23/11. https://doi.org/10.1109/NSSMIC.2011.6153735
Karakatsanis NA, Lodge MA, Zhou Y, Mhlanga J, Chaudhry MA, Tahari AK et al. Dynamic multi-bed FDG PET imaging: Feasibility and optimization. In IEEE Nuclear Science Symposium Conference Record. 2012. p. 3863-3870. 6153735 https://doi.org/10.1109/NSSMIC.2011.6153735
Karakatsanis, Nicolas A. ; Lodge, Martin A. ; Zhou, Yun ; Mhlanga, Joyce ; Chaudhry, Muhammad A. ; Tahari, Abdel K. ; Segars, William P. ; Wahl, Richard L. ; Rahmim, Arman. / Dynamic multi-bed FDG PET imaging : Feasibility and optimization. IEEE Nuclear Science Symposium Conference Record. 2012. pp. 3863-3870
@inproceedings{a0955599a97641c98b3edf7156dc75d9,
title = "Dynamic multi-bed FDG PET imaging: Feasibility and optimization",
abstract = "Multi-Bed FDG PET/CT as applied to oncologic imaging is currently widely and routinely used for assessment of localized and metastatic disease involvement. In the past, based on conventional (single-bed) dynamic PET imaging, standard tracer kinetic modeling techniques have been developed to estimate the FDG uptake rate K i. However, routine clinical multi-bed FDG PET imaging commonly involves a single time frame per bed, i.e. static imaging, and the standardized uptake value (SUV), a surrogate of metabolic activity, is employed to estimate the uptake rate K i. The accuracy depends on two conditions: (i) in the voxel or region of interest, contribution of non-phosphorylated FDG is negligible relative to phosphorylated FDG, and (ii) time integral of plasma FDG concentration is proportional to injected dose divided by lean body mass, which can fail in clinical FDG PET imaging and pose problems in differentiating malignant from benign tumors. The objective of the proposed work is to facilitate, for the fist time, a transition from static to dynamic multi-bed FDG PET/CT imaging in clinically feasible times where, given the challenge of sparse temporal sampling at each bed, novel dynamic acquisition schemes should be employed to yield quantitative whole-body imaging of FDG uptake. Thus, a set of novel dynamic multi-bed PET image acquisition schemes have been modeled, using Monte Carlo simulations, to quantitatively evaluate the clinical feasibility of the method and optimize the number of passes per bed and the total study duration. It has been determined that a data acquisition scheme consisting of 6 whole-body passes and constant time frames of 45sec produces parametric images with the optimal noise vs. bias performance. Finally, clinical whole-body patient data have been acquired dynamically and results demonstrate the potential of the proposed method in enhancing treatment response monitoring capabilities of clinical PET studies.",
author = "Karakatsanis, {Nicolas A.} and Lodge, {Martin A.} and Yun Zhou and Joyce Mhlanga and Chaudhry, {Muhammad A.} and Tahari, {Abdel K.} and Segars, {William P.} and Wahl, {Richard L.} and Arman Rahmim",
year = "2012",
doi = "10.1109/NSSMIC.2011.6153735",
language = "English (US)",
isbn = "9781467301183",
pages = "3863--3870",
booktitle = "IEEE Nuclear Science Symposium Conference Record",

}

TY - GEN

T1 - Dynamic multi-bed FDG PET imaging

T2 - Feasibility and optimization

AU - Karakatsanis, Nicolas A.

AU - Lodge, Martin A.

AU - Zhou, Yun

AU - Mhlanga, Joyce

AU - Chaudhry, Muhammad A.

AU - Tahari, Abdel K.

AU - Segars, William P.

AU - Wahl, Richard L.

AU - Rahmim, Arman

PY - 2012

Y1 - 2012

N2 - Multi-Bed FDG PET/CT as applied to oncologic imaging is currently widely and routinely used for assessment of localized and metastatic disease involvement. In the past, based on conventional (single-bed) dynamic PET imaging, standard tracer kinetic modeling techniques have been developed to estimate the FDG uptake rate K i. However, routine clinical multi-bed FDG PET imaging commonly involves a single time frame per bed, i.e. static imaging, and the standardized uptake value (SUV), a surrogate of metabolic activity, is employed to estimate the uptake rate K i. The accuracy depends on two conditions: (i) in the voxel or region of interest, contribution of non-phosphorylated FDG is negligible relative to phosphorylated FDG, and (ii) time integral of plasma FDG concentration is proportional to injected dose divided by lean body mass, which can fail in clinical FDG PET imaging and pose problems in differentiating malignant from benign tumors. The objective of the proposed work is to facilitate, for the fist time, a transition from static to dynamic multi-bed FDG PET/CT imaging in clinically feasible times where, given the challenge of sparse temporal sampling at each bed, novel dynamic acquisition schemes should be employed to yield quantitative whole-body imaging of FDG uptake. Thus, a set of novel dynamic multi-bed PET image acquisition schemes have been modeled, using Monte Carlo simulations, to quantitatively evaluate the clinical feasibility of the method and optimize the number of passes per bed and the total study duration. It has been determined that a data acquisition scheme consisting of 6 whole-body passes and constant time frames of 45sec produces parametric images with the optimal noise vs. bias performance. Finally, clinical whole-body patient data have been acquired dynamically and results demonstrate the potential of the proposed method in enhancing treatment response monitoring capabilities of clinical PET studies.

AB - Multi-Bed FDG PET/CT as applied to oncologic imaging is currently widely and routinely used for assessment of localized and metastatic disease involvement. In the past, based on conventional (single-bed) dynamic PET imaging, standard tracer kinetic modeling techniques have been developed to estimate the FDG uptake rate K i. However, routine clinical multi-bed FDG PET imaging commonly involves a single time frame per bed, i.e. static imaging, and the standardized uptake value (SUV), a surrogate of metabolic activity, is employed to estimate the uptake rate K i. The accuracy depends on two conditions: (i) in the voxel or region of interest, contribution of non-phosphorylated FDG is negligible relative to phosphorylated FDG, and (ii) time integral of plasma FDG concentration is proportional to injected dose divided by lean body mass, which can fail in clinical FDG PET imaging and pose problems in differentiating malignant from benign tumors. The objective of the proposed work is to facilitate, for the fist time, a transition from static to dynamic multi-bed FDG PET/CT imaging in clinically feasible times where, given the challenge of sparse temporal sampling at each bed, novel dynamic acquisition schemes should be employed to yield quantitative whole-body imaging of FDG uptake. Thus, a set of novel dynamic multi-bed PET image acquisition schemes have been modeled, using Monte Carlo simulations, to quantitatively evaluate the clinical feasibility of the method and optimize the number of passes per bed and the total study duration. It has been determined that a data acquisition scheme consisting of 6 whole-body passes and constant time frames of 45sec produces parametric images with the optimal noise vs. bias performance. Finally, clinical whole-body patient data have been acquired dynamically and results demonstrate the potential of the proposed method in enhancing treatment response monitoring capabilities of clinical PET studies.

UR - http://www.scopus.com/inward/record.url?scp=84863338160&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863338160&partnerID=8YFLogxK

U2 - 10.1109/NSSMIC.2011.6153735

DO - 10.1109/NSSMIC.2011.6153735

M3 - Conference contribution

AN - SCOPUS:84863338160

SN - 9781467301183

SP - 3863

EP - 3870

BT - IEEE Nuclear Science Symposium Conference Record

ER -