MENU

Click here to

×

Are you sure ?

Yes, do it No, cancel

SPECT Image Analysis Using Computational ROC Curve Based On Threshold Setup

M Kim*, H Shin , D Yoon , T Suh , Catholic university Medical College, Seoul, Seoul

Presentations

(Tuesday, 7/31/2018) 10:00 AM - 10:30 AM

Room: Exhibit Hall | Forum 8

Purpose: We proposed the objective ROC analysis method based on the setting of threshold value for evaluation of single photon emission computed tomography (SPECT) image. This proposed ROC analysis method uses the quantification computational threshold value to each signal on the SPECT image.

Methods: The SPECT images for this study were acquired by using Monte Carlo n-particle extended simulation code (MCNPX, Ver. 2.6.0, Los Alamos National Laboratory, USA). The basic SPECT detectors and specific water phantom were realized in the simulation, and we could get the simulation results by the simulation operation. We tried to analyze the reconstructed images using threshold value application based objective ROC method.

Results: We can get the accuracy information of reconstructed region in the image. This proposed ROC technique can be helpful when we have to evaluate the weak signal for the NM image.

Conclusion: In this study, the proposed threshold value based computational ROC analysis method can provide better objectivity than the conventional ROC analysis method.

Keywords

SPECT, ROC Analysis, MCNP

Taxonomy

IM- SPECT : Monte Carlo

Contact Email