Share Email Print
cover

Proceedings Paper

Parametric image estimation using Residual simplified reference tissue model
Author(s): Kyungsang Kim; Young Don Son; Jong-Hoon Kim; Quanzheng Li
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The simplified reference tissue model (SRTM) can provide a robust estimation of binding potential (BP) without a measured arterial blood input function. Although a voxel-wise estimation of BP (so called parametric image) is much more valuable than region of interested (ROI) based estimation of BP, it is challenging to compute it due to limited signal-to-noise ratio (SNR) in dynamic PET data. To achieve reliable parametric imaging, temporal images are commonly low-pass filtered prior to the kinetic parameter estimation, which sacrifices the resolution significantly. In this project, we propose an innovative method, the residual simplified reference tissue model (R-SRTM), to calculate parametric image with high resolution. In phantom simulation, we demonstrate that the proposed method outperforms the conventional SRTM method.

Paper Details

Date Published: 28 May 2019
PDF: 5 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 1107237 (28 May 2019); doi: 10.1117/12.2534958
Show Author Affiliations
Kyungsang Kim, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Young Don Son, Gachon Univ. (Korea, Republic of)
Jong-Hoon Kim, Gachon Univ. College of Medicine (Korea, Republic of)
Quanzheng Li, Massachusetts General Hospital (United States)
Harvard Medical School (United States)


Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray