test_moissonnage_selune
type: Agent

Numerical Observers for the Objective Quality Assessment of Medical Images
type: Distribution
access URL: https://theses.hal.science/tel-00782522
format: HTML
issued: 2026-05-14T20:10:30.338681
modified: 2026-05-14T20:10:30.130950

Numerical Observers for the Objective Quality Assessment of Medical Images
type: Dataset
contact point: Organization
  fn: CCSD
keyword: irm
keyword: theses
keyword: svh
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: infoeu-reposemanticsdoctoralthesis
keyword: vdp
keyword: evaluation-de-la-qualite-dimages-medicales
keyword: modele-numerique
keyword: jafroc
keyword: model-observer
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: medical-image-quality-assessment
keyword: hvs
keyword: mri
landing page: https://theses.hal.science/tel-00782522
description: Medical image quality assessment is critical for comparing and optimizing medical imaging system. In the frame of task-based approach, numerical observers proposed for the objective medical image quality assessment have several limitations: e.g. for the multi-signal localization, most need a priori knowledge of signal parameters; multi-slice MOs narrow the task down to the detection of one symmetrical signal at the image centre. In this thesis, we propose novel numerical observers: the CJO for the detection of one parametric signal with random amplitude, orientation and size on single-slice; the PCJO and the msPCJO for the detection-localization of multiple parametric signals with random amplitude, orientation, size and location on single-slice and multi-slice, respectively. Two observer studies were designed and implemented for their validation on MR images with MS lesions, and the JAFROC FOM results indicate that they are promising for predicting radiologists' task performance, ultimately for evaluating medical imaging systems.
issued: 2026-05-14T20:10:30.200403
language: en
modified: 2026-05-14T20:10:30.200412