A semi-automatic technique to quantify complex tuberculous lung lesions on 18F-fluorodeoxyglucose positron emission tomography/computerised tomography images
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Stephanus T Malherbe Patrick Dupont Ilse Kant Petri Ahlers Magdalena Kriel André G Loxton Ray Y Chen Laura E Via Friedrich Thienemann Robert Wilkinson Clifton E Barry Stephanie Griffith-Richards Annare Ellman Katharina Ronacher Jill Winter Gerhard Walzl James M Warwick The Catalysis Biomarker ConsortiumAbstract
There is a growing interest in the use of F-FDG PET-CT to monitor tuberculosis (TB) treatment response. However, TB causes complex and widespread pathology, which is challenging to segment and quantify in a reproducible manner. To address this, we developed a technique to standardise uptake (Z-score), segment and quantify tuberculous lung lesions on PET and CT concurrently, in order to track changes over time. We used open source tools and created a MATLAB script. The technique was optimised on a training set of five pulmonary tuberculosis (PTB) cases after standard TB therapy and 15 control patients with lesion-free lungs.
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Journal EJNMMI Research
Volume 8
Issue number 1
Pages 55
Available online
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Publisher website (DOI) 10.1186/s13550-018-0411-7
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Europe PubMed Central 29943161
Pubmed 29943161
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