Automated and tracer-independent generation of a total-body PET/CT normative database for future holistic patient analysis

Gutschmayer, Sebastian; Muzik, Otto; Hacker, Markus; Ferrara, D.; Zuehlsdorff, Sven; Beyer, Thomas; Sundar, L. K. Shiyam

doi:10.1055/s-0043-1766169

Cited by 2 publications

(1 citation statement)

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“…Challenges remain in how to translate such methodology to total-body images, given the significantly different body structures between human subjects. In an initial attempt, Gutschmayer et al [98] proposed alignment to average CT images to create an initial template, which was then updated through iterative deformable registration. The corresponding deformation fields were transferred to the PET images to obtain an averaged PET activity map as a total-body template.…”

Section: Spatial Normalization Templatementioning

confidence: 99%

Current progress and future perspectives in total‐body PET imaging, part I: Data processing and analysis

Sun,

Chen,

Liu

et al. 2024

iRADIOLOGY

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Total‐body positron emission tomography (TB‐PET) has ultra‐high sensitivity and the unique ability to conduct dynamic imaging of the entire body. Both the hardware configuration and the data acquired from a TB‐PET scanner differ from those of the conventional short axial field‐of‐view scanners. Therefore, various aspects concerning data processing need careful consideration when implementing TB‐PET in clinical settings. Additionally, advances in data analysis are needed to fully uncover the potential of these systems. Although some progress has been achieved, further research and innovation in scan data management are necessary. In this report, we provide a comprehensive overview of the current progress, challenges, and possible future directions for TB‐PET data processing and analysis. For a review of clinical applications, please find the other review accompanying this paper.

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Section: Spatial Normalization Templatementioning

confidence: 99%

Current progress and future perspectives in total‐body PET imaging, part I: Data processing and analysis

Sun,

Chen,

Liu

et al. 2024

iRADIOLOGY

View full text Add to dashboard Cite

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Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence

Shiyam Sundar,

Gutschmayer,

Maenle

et al. 2024

Cancer Imaging

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The evolution of Positron Emission Tomography (PET), culminating in the Total-Body PET (TB-PET) system, represents a paradigm shift in medical imaging. This paper explores the transformative role of Artificial Intelligence (AI) in enhancing clinical and research applications of TB-PET imaging. Clinically, TB-PET’s superior sensitivity facilitates rapid imaging, low-dose imaging protocols, improved diagnostic capabilities and higher patient comfort. In research, TB-PET shows promise in studying systemic interactions and enhancing our understanding of human physiology and pathophysiology. In parallel, AI’s integration into PET imaging workflows—spanning from image acquisition to data analysis—marks a significant development in nuclear medicine. This review delves into the current and potential roles of AI in augmenting TB-PET/CT’s functionality and utility. We explore how AI can streamline current PET imaging processes and pioneer new applications, thereby maximising the technology’s capabilities. The discussion also addresses necessary steps and considerations for effectively integrating AI into TB-PET/CT research and clinical practice. The paper highlights AI’s role in enhancing TB-PET’s efficiency and addresses the challenges posed by TB-PET’s increased complexity. In conclusion, this exploration emphasises the need for a collaborative approach in the field of medical imaging. We advocate for shared resources and open-source initiatives as crucial steps towards harnessing the full potential of the AI/TB-PET synergy. This collaborative effort is essential for revolutionising medical imaging, ultimately leading to significant advancements in patient care and medical research.

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Automated and tracer-independent generation of a total-body PET/CT normative database for future holistic patient analysis

Cited by 2 publications

References 0 publications

Current progress and future perspectives in total‐body PET imaging, part I: Data processing and analysis

Current progress and future perspectives in total‐body PET imaging, part I: Data processing and analysis

Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence

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