A review on segmentation of positron emission tomography images

作者: Brent Foster , Ulas Bagci , Awais Mansoor , Ziyue Xu , Daniel J. Mollura

DOI: 10.1016/J.COMPBIOMED.2014.04.014

关键词: SegmentationMagnetic resonance imagingArtificial intelligenceAbnormal cellComputer visionThresholdingRadiologyPositron emission tomographyImage segmentationFunctional imagingPET-CTMedicine

摘要: Positron Emission Tomography (PET), a non-invasive functional imaging method at the molecular level, images distribution of biologically targeted radiotracers with high sensitivity. PET provides detailed quantitative information about many diseases and is often used to evaluate inflammation, infection, cancer by detecting emitted photons from radiotracer localized abnormal cells. In order differentiate tissue surrounding areas in images, image segmentation methods play vital role; therefore, accurate necessary for proper disease detection, diagnosis, treatment planning, follow-ups. this review paper, we present state-of-the-art methods, as well recent advances techniques. make manuscript self-contained, also briefly explain fundamentals imaging, challenges diagnostic analysis, effects these on results.

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