Journal of Molecular Imaging & Dynamics
Open Access
ISSN: 2155-9937
ISSN: 2155-9937
Nobutoku Motomura
Japan
Research Article
Visual and Quantitative Assessment of a New Anisotropic Diffusion Filter (Statistical Transfer with Optimizing Noise and Edge Sensing) for Positron Emission Tomography
Author(s): Hitoshi Iizuka, Tomohiro Kaneta*, Matsuyoshi Ogawa, Nobutoku Motomura, Tetsu Arisawa, Ayako Hino-Shishikura, Keisuke Yoshida and Tomio Inoue
Hitoshi Iizuka, Tomohiro Kaneta*, Matsuyoshi Ogawa, Nobutoku Motomura, Tetsu Arisawa, Ayako Hino-Shishikura, Keisuke Yoshida and Tomio Inoue
Post-filtering with a Gaussian filter is commonly used to reduce noise in positron emission tomography (PET) images. However, its non-selective smoothing obscures the edges of lesions or organs. We compared the performance of a newly developed anisotropic diffusion filter called ?Statistical Transfer with Optimizing Noise and Edge Sensing? (STONES) with that of the Gaussian filter for small lesions on PET images. We selected seven PET/computed tomography (CT) image slices of the lungs from three patients with multiple lung metastases. For each slice, the lesion detection rates by two physicians (A and B) were compared for Gaussian- and STONES-filtered PET images. The maximum standardized uptake (SUVmax) values of the detected lesions were also compared for non-, Gaussian-, and STONES-filtered images. Physician A detected 19 lesions in the Gaussian-filtered images and 23 lesions in the ST.. View More»
DOI:
10.4172/2155-9937.1000137