First clinical investigation of a 4D maximum likelihood reconstruction for 4D PET-based treatment verification in ion beam therapy

Chiara Gianoli, Elisabetta De Bernardi, Rosalinda Ricotti, Christopher Kurz, Julia Bauer, Marco Riboldi, Guido Baroni, Jürgen Debus, Katia Parodi

Research output: Contribution to journalArticle

Abstract

Background and purpose In clinical applications of Positron Emission Tomography (PET)-based treatment verification in ion beam therapy (PT-PET), detection and interpretation of inconsistencies between Measured PET and Expected PET are mostly limited by Measured PET noise, due to low count statistics, and by Expected PET bias, especially due to inaccurate washout modelling in off-line implementations. In this work, a recently proposed 4D Maximum Likelihood (ML) reconstruction algorithm which considers Measured PET and Expected PET as two different motion phases of a 4D dataset is assessed on clinical 4D PET-CT datasets acquired after carbon ion therapy. Material and methods The 4D ML reconstruction algorithm estimates: (1) Measured PET of enhanced image quality with respect to the conventional Measured PET, thanks to the exploitation of Expected PET; (2) the deformation field mapping the Expected PET onto the Measured PET as a measure of the occurred displacements. Results Results demonstrate the desired sensitivity to inconsistencies due to breathing motion and/or setup modification, robustness to noise in different count statistics scenarios, but a limited sensitivity to Expected PET washout inaccuracy. Conclusions The 4D ML reconstruction algorithm supports clinical 4D PT-PET in ion beam therapy. The limited sensitivity to washout inaccuracy can be detected and potentially overcome.

Original languageEnglish
Pages (from-to)339-345
Number of pages7
JournalRadiotherapy and Oncology
Volume123
Issue number3
DOIs
Publication statusPublished - Jun 1 2017

Keywords

  • 4D ML reconstruction
  • 4D PET imaging
  • Ion beam therapy
  • PT-PET
  • Treatment verification

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Radiology Nuclear Medicine and imaging

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    Gianoli, C., De Bernardi, E., Ricotti, R., Kurz, C., Bauer, J., Riboldi, M., Baroni, G., Debus, J., & Parodi, K. (2017). First clinical investigation of a 4D maximum likelihood reconstruction for 4D PET-based treatment verification in ion beam therapy. Radiotherapy and Oncology, 123(3), 339-345. https://doi.org/10.1016/j.radonc.2017.04.018