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Noise suppressed partial volume correction for cardiac SPECT/CT.

Chung Chan¹, Hui Liu², Yariv Grobshtein³

¹Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut 06520.

Medical Physics

|September 3, 2016

Summary

A new noise-suppressed partial volume correction (NS-PVC) method improves cardiac SPECT/CT quantification and image quality while reducing noise and enhancing reproducibility, particularly for low-dose studies.

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Area of Science:

Nuclear Medicine
Medical Imaging
Image Processing

Background:

Partial volume correction (PVC) is crucial for accurate quantification in cardiac SPECT/CT imaging.
Traditional PVC methods often increase image noise and reduce reproducibility.
Developing advanced PVC techniques is essential for improving diagnostic accuracy.

Purpose of the Study:

To develop and evaluate a novel voxel-based PVC method incorporating anatomical knowledge for cardiac SPECT/CT.
The goal was to enhance quantification while simultaneously suppressing noise and improving reproducibility.

Main Methods:

A novel noise-suppressed PVC (NS-PVC) method was developed, combining anatomical-based maximum a posteriori (AMAP) reconstruction with a sequential voxel-by-voxel PVC approach (Yang's method).
The template response for PVC was derived from contrast-enhanced CT images and modeled using AMAP.
The NS-PVC method was evaluated using simulated cardiac SPECT studies (Tc-99m-tetrofosmin and Tc-99m-RBC) and a canine blood pool study, comparing it against MLEM, Yang's method, MTC, and AMAP without PVC.

Main Results:

Conventional methods like Yang's method improved quantification but increased noise and reduced reproducibility.
Multitarget correction (MTC) showed poor performance on low-count data, while AMAP effectively suppressed noise but struggled with spill-out effects.
The proposed NS-PVC method demonstrated superior performance in quantitative accuracy, visual image quality, and reproducibility across various count levels.

Conclusions:

The developed noise-suppressed PVC (NS-PVC) algorithm shows significant promise for improving cardiac SPECT/CT imaging.
NS-PVC is particularly beneficial for low-dose protocols and dynamic/gated cardiac studies with limited counts.
This method offers a valuable tool for enhancing diagnostic confidence in challenging cardiac imaging scenarios.