Development of a generic thresholding algorithm for the delineation of 18FDG-PET-positive tissue: application to the comparison of three thresholding models

Autor: K. Doyeux, Sébastien Hapdey, S. Vauclin, Isabelle Gardin, Pierre Vera, Agathe Edet-Sanson
Přispěvatelé: Breton, Céline, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA), Service de médecine nucléaire [Rouen], CRLCC Haute Normandie-Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen (CLCC Henri Becquerel), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)
Rok vydání: 2009
Předmět:
Calibration (statistics)
030218 nuclear medicine & medical imaging
Pattern Recognition
Automated
MESH: Differential Threshold
0302 clinical medicine
MESH: Fluorodeoxyglucose F18
Neoplasms
Thresholding algorithm
MESH: Pattern Recognition
Automated
Computer vision
MESH: Neoplasms
Mathematics
Radiological and Ultrasound Technology
Phantoms
Imaging
Contrast (statistics)
Thresholding
MESH: Positron-Emission Tomography
MESH: Reproducibility of Results
030220 oncology & carcinogenesis
MESH: Image Enhancement
MESH: Radiopharmaceuticals
Algorithms
Differential Threshold
MESH: Algorithms
[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine
Models
Biological
Sensitivity and Specificity
[SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine
03 medical and health sciences
MESH: Computer Simulation
Artificial Intelligence
Fluorodeoxyglucose F18
Image Interpretation
Computer-Assisted
MESH: Artificial Intelligence
Humans
Radiology
Nuclear Medicine and imaging
Statistical dispersion
Computer Simulation
18fdg pet
MESH: Humans
business.industry
MESH: Models
Biological
Reproducibility of Results
Pattern recognition
Image Enhancement
MESH: Sensitivity and Specificity
MESH: Phantoms
Imaging
Positron-Emission Tomography
Development (differential geometry)
Artificial intelligence
Radiopharmaceuticals
business
MESH: Image Interpretation
Computer-Assisted
Volume (compression)
Zdroj: Physics in Medicine and Biology
Physics in Medicine and Biology, IOP Publishing, 2009, 54 (22), pp.6901-16. ⟨10.1088/0031-9155/54/22/010⟩
ISSN: 1361-6560
0031-9155
DOI: 10.1088/0031-9155/54/22/010⟩
Popis: International audience; An iterative generic algorithm has been developed to compare three thresholding models used to delineate gross tumour volume on (18)F-FDG PET images. 3D volume was extracted and characteristic parameters were measured. Three fitting models using different parameters were studied: model 1 (volume, contrast), model 2 (contrast) and model 3 (SUV). The calibration was performed using a cylindrical phantom filled with hot spheres. To validate the models, two other phantoms were used. The calibration procedure showed a better fitting model for model 1 (R(2) from 0.94 to 1.00) than for model 3 (0.95) and model 2 (0.69). The validation study shows that model 3 yielded large volume measurement errors. Models 1 and 2 gave close results with no significant differences. Model 2 was preferred because it presents less error dispersion and needs fewer characteristic parameters, making it easier to implement. Our results show the importance of developing a generic algorithm to compare the performances of fitting models objectively and to validate results on other phantoms than the ones used during the calibration process to avoid methodological biases.
Databáze: OpenAIRE
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