 |
Journal articles
Development of a generic thresholding algorithm for the delineation of 18FDG-PET-positive tissue: application to the comparison of three thresholding models.
Abstract : 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.
https://www.hal.inserm.fr/inserm-00467195
Contributor : Céline Breton <>
Submitted on : Friday, March 26, 2010 - 11:13:41 AM
Last modification on : Thursday, February 7, 2019 - 5:38:21 PM
Contributor : Céline Breton <>
Submitted on : Friday, March 26, 2010 - 11:13:41 AM
Last modification on : Thursday, February 7, 2019 - 5:38:21 PM
Links full text
