Computational analysis of PET by AIBL (CapAIBL): a cloud-based processing pipeline for the quantification of PET images

Pierrick Bourgeat; Vincent Dore; Jurgen Fripp; Victor L. Villemagne; Chris C. Rowe; Olivier Salvado

doi:10.1117/12.2082492

20 March 2015 Computational analysis of PET by AIBL (CapAIBL): a cloud-based processing pipeline for the quantification of PET images

Pierrick Bourgeat, Vincent Dore, Jurgen Fripp, Victor L. Villemagne, Chris C. Rowe, Olivier Salvado

Author Affiliations +

Proceedings Volume 9413, Medical Imaging 2015: Image Processing; 94132V (2015) https://doi.org/10.1117/12.2082492
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

With the advances of PET tracers for β-Amyloid (Aβ) detection in neurodegenerative diseases, automated quantification methods are desirable. For clinical use, there is a great need for PET-only quantification method, as MR images are not always available. In this paper, we validate a previously developed PET-only quantification method against MR-based quantification using 6 tracers: ¹⁸F-Florbetaben (N=148), ¹⁸F-Florbetapir (N=171), ¹⁸F-NAV4694 (N=47), ¹⁸F-Flutemetamol (N=180), ¹¹C-PiB (N=381) and ¹⁸F-FDG (N=34). The results show an overall mean absolute percentage error of less than 5% for each tracer. The method has been implemented as a remote service called CapAIBL (http://milxcloud.csiro.au/capaibl). PET images are uploaded to a cloud platform where they are spatially normalised to a standard template and quantified. A report containing global as well as local quantification, along with surface projection of the β-Amyloid deposition is automatically generated at the end of the pipeline and emailed to the user.

Citation Download Citation

Pierrick Bourgeat, Vincent Dore, Jurgen Fripp, Victor L. Villemagne, Chris C. Rowe, and Olivier Salvado "Computational analysis of PET by AIBL (CapAIBL): a cloud-based processing pipeline for the quantification of PET images", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94132V (20 March 2015); https://doi.org/10.1117/12.2082492

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