[An overview of PET/CT image reconstruction techniques]

Area of Science:

• Medical Imaging
• Nuclear Medicine
• Radiology

Context:

• Positron Emission Tomography/Computed Tomography (PET/CT) is a vital hybrid imaging modality.
• Understanding its imaging principles and data acquisition is crucial for accurate diagnostics.
• Various image reconstruction algorithms are employed to generate diagnostic PET/CT images.

Purpose:

• To elucidate the fundamental imaging principles, data acquisition techniques, and characteristic image features of PET/CT.
• To provide a comprehensive review of prevalent image reconstruction methods used in PET/CT, including Filtered Back Projection (FBP), Maximum Likelihood Expectation Maximization (ML-EM), and 3D সমালোচনামূলক reconstruction (3DRP).
• To critically evaluate and compare the advantages and disadvantages of these reconstruction algorithms.

Summary:

• The paper details the imaging principles, data acquisition, and image characteristics of PET/CT scanners.
• It elaborates on widely used image reconstruction methods such as FBP, ML-EM, and 3DRP.
• A comparative analysis of the strengths and weaknesses of these reconstruction techniques is presented.

Impact:

• This review aids researchers and clinicians in selecting appropriate PET/CT imaging protocols and reconstruction parameters.
• It facilitates a deeper understanding of image quality factors influenced by different reconstruction algorithms.
• The findings contribute to optimizing diagnostic accuracy and therapeutic efficacy in nuclear medicine and oncology through advanced PET/CT imaging.