Novel parametric PET image quantification using texture and shape analysis

A. Rahmim, Jennifer Marie Coughlin, M. Gonzalez, C. J. Endres, Yun Zhou, Dean Foster Wong, R. L. Wahl, V. Sossi, Martin Gilbert Pomper

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

Abstract

Kinetic parameter estimation at the individual voxel level has the powerful ability to represent both spatial distributions and quantitative physiological parameters of interest. In practice, parametric images are commonly quantified by computing mean values for specified ROIs. Nonetheless, the mean operator vastly oversimplifies the available spatial uptake information. It may be hypothesized that a given tracer will exhibit increasingly differential or heterogeneous uptake due to disease: subsequently, we have implemented and explored a comprehensive texture and shape analysis framework wherein extensive information is generated from parametric PET images, through: (1) 3D moment invariants analysis, (2) intensity histogram analysis, (3) gray-level spatial-dependence (GLSD) analysis, and (4) neighborhood gray tone difference (NGTD) analysis. In the present work, we applied this approach to imaging of 11C-DPA-713, a novel PET ligand with high binding to the translocator protein (TSPO), a marker of neuroinflammation. In particular, for tracers such as DPA with relatively wide-spread uptake, where a reliable reference tissue does not exist, quantification of heterogeneity may provide additional valuable information. Our center has been the first to perform DPA PET studies in humans, and is gathering a large collection of PET studies; e.g. subjects with systemic lupus erythematosus (SLE), traumatic brain injury (TBI; former NFL players), along with young and elderly controls. Our preliminary analysis has revealed that, compared to conventional mean ROI analysis, a number of metrics in the proposed framework yield enhanced discrimination (as measured using AUC) between patients vs. controls in a range of ROIs, in TBI as well as SLE vs. controls, consistent with increased heterogeneity of uptake with disease, though in the case of SLE this can be, at least partly, attributed to changes in ROI shapes. Overall, the proposed framework has the potential to bring about a new quantification paradigm in parametric imaging.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium Conference Record
Pages2227-2230
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012 - Anaheim, CA, United States
Duration: Oct 29 2012Nov 3 2012

Other

Other2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
CountryUnited States
CityAnaheim, CA
Period10/29/1211/3/12

Fingerprint

Systemic Lupus Erythematosus
textures
tracers
brain damage
Spatial Analysis
histograms
markers
Area Under Curve
discrimination
spatial distribution
Ligands
proteins
moments
operators
ligands
kinetics
Proteins
Traumatic Brain Injury
N,N-diethyl-2-(2-(4-methoxyphenyl)-5,7-dimethyl-pyrazolo(1,5-a)pyrimidin-3-yl)-acetamide

ASJC Scopus subject areas

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

Cite this

Rahmim, A., Coughlin, J. M., Gonzalez, M., Endres, C. J., Zhou, Y., Wong, D. F., ... Pomper, M. G. (2012). Novel parametric PET image quantification using texture and shape analysis. In IEEE Nuclear Science Symposium Conference Record (pp. 2227-2230). [6551507] https://doi.org/10.1109/NSSMIC.2012.6551507

Novel parametric PET image quantification using texture and shape analysis. / Rahmim, A.; Coughlin, Jennifer Marie; Gonzalez, M.; Endres, C. J.; Zhou, Yun; Wong, Dean Foster; Wahl, R. L.; Sossi, V.; Pomper, Martin Gilbert.

IEEE Nuclear Science Symposium Conference Record. 2012. p. 2227-2230 6551507.

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

Rahmim, A, Coughlin, JM, Gonzalez, M, Endres, CJ, Zhou, Y, Wong, DF, Wahl, RL, Sossi, V & Pomper, MG 2012, Novel parametric PET image quantification using texture and shape analysis. in IEEE Nuclear Science Symposium Conference Record., 6551507, pp. 2227-2230, 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012, Anaheim, CA, United States, 10/29/12. https://doi.org/10.1109/NSSMIC.2012.6551507
Rahmim A, Coughlin JM, Gonzalez M, Endres CJ, Zhou Y, Wong DF et al. Novel parametric PET image quantification using texture and shape analysis. In IEEE Nuclear Science Symposium Conference Record. 2012. p. 2227-2230. 6551507 https://doi.org/10.1109/NSSMIC.2012.6551507
Rahmim, A. ; Coughlin, Jennifer Marie ; Gonzalez, M. ; Endres, C. J. ; Zhou, Yun ; Wong, Dean Foster ; Wahl, R. L. ; Sossi, V. ; Pomper, Martin Gilbert. / Novel parametric PET image quantification using texture and shape analysis. IEEE Nuclear Science Symposium Conference Record. 2012. pp. 2227-2230
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