A hybrid region growing tumour segmentation method for low contrast and high noise Nuclear Medicine (NM) images by combining a novel non-linear diffusion filter and global gradient measure (HNDF-GGM-RG)

A hybrid region growing tumour segmentation method for low contrast and high noise Nuclear Medicine (NM) images by combining a novel non-linear diffusion filter and global gradient measure (HNDF-GGM-RG)

Poor spatial resolution and low signal-to-noise ratio (SNR) along with the finite image sampling constraint make lesion segmentation on Nuclear Medicine (NM) images (e.g., PET–Positron Emission Tomography) a challenging task. Since the size, signal-to-background ratio (SBR) and SNR of lesion vary wi...

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Bibliographic Details
Main Author: Mahbubunnabi Tamal
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Heliyon
Subjects:
Medical imaging
Nuclear medicine
Biomedical engineering
Positron emission tomography (PET)
Threshold
Region growing
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844019366526

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