Conference
Image Reconstruction With Local Directional Total Variation Regularization Using Tomographic Incompleteness Maps
| العنوان: | Image Reconstruction With Local Directional Total Variation Regularization Using Tomographic Incompleteness Maps |
|---|---|
| المؤلفون: | Laurendeau, Matthieu, Desbat, Laurent, Jolivet, Frédéric, Bernard, Guillaume, Georges, Sébastien, Rit, Simon |
| المساهمون: | Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525 (TIMC), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA), Thales AVS France SAS, Gestes Medico-chirurgicaux Assistés par Ordinateur (TIMC-GMCAO), Université Grenoble Alpes (UGA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Marc Kachelrieß |
| المصدر: | The 8th International Conference on Image Formation in X-Ray Computed Tomography ; https://hal.science/hal-04704936 ; The 8th International Conference on Image Formation in X-Ray Computed Tomography, Marc Kachelrieß, Aug 2024, Bamberg, Germany. pp.376-379 |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2024 |
| المجموعة: | HAL Lyon 1 (University Claude Bernard Lyon 1) |
| مصطلحات موضوعية: | angle problem, tomographic incompleteness, directional total variation (DTV), local DTV (LDTV), [INFO.INFO-IM]Computer Science [cs]/Medical Imaging |
| جغرافية الموضوع: | Bamberg, Germany |
| الوصف: | International audience ; Limited angle acquisition is a well-known challenge in computed tomography reconstruction because the lack of data generates severe geometric artifacts in reconstructed images. Recently, directional total variation (DTV) regularization has shown promising results for this kind of problem but it requires fine-tuning of a global directional hyperparameter in addition to the regularization weight. In this work, we propose a new regularization, called local directional total variation (LDTV), which is a DTV based on local directional weights determined from tomographic incompleteness maps. We evaluated LDTV and compared it to state-of-the-art algorithms on simulated twodimensional acquisitions of the Forbild head phantom with a source trajectory made of two orthogonal arcs of 60°each. The reconstructed images show that the LDTV regularization performs better in this geometry for both noiseless and noisy data. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| الاتاحة: | https://hal.science/hal-04704936 https://hal.science/hal-04704936v1/document https://hal.science/hal-04704936v1/file/laurendeau2024.pdf |
| Rights: | http://hal.archives-ouvertes.fr/licences/publicDomain/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.A45A33B1 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |