Optimisation des séquences d'acquisition des images IRM pour la radiothérapie stéréotaxique
dc.contributor.author | Hamedi, Kamel | |
dc.date.accessioned | 2024-11-06T09:06:59Z | |
dc.date.available | 2024-11-06T09:06:59Z | |
dc.date.issued | 2023 | |
dc.description | 42 f. : ill. ; 30 cm | |
dc.description.abstract | Stereotactic radiosurgery (SRS) is a treatment modality that involves delivering high doses of radiation with sub-millimetric precision to tumor lesions or specific anatomical targets, while minimizing exposure to surrounding healthy tissues. The precision required by this treatment technique demands meticulous contouring of the target volumes to be treated and the organs at risk to be preserved. In this context, the use of MRI as an imaging tool in the diagnostic and countering of stereotactic radiotherapy has become crucial. In comparison to other imaging modalities such as computed tomography (CT), MRI offers excellent contrast within soft tissues, enabling better visualization of certain pathologies and allowing for precise delineation of these. However, the susceptibility of this imaging modality to geometric distortions hinders its optimal use in the planning of stereotactic radiotherapy. In this work, we aim to find a way to optimize the acquisition parameters of MRI images in order to minimize these geometric distortions and obtain usable images for stereotactic radiotherapy. And to quantify various image parameters such as signal-to-noise ratio, spatial resolution, as well as geometric distortion, all of this with standard acquisition parameters on and optimized parameters using specific and modified phantoms. | |
dc.identifier.citation | Physique médicale | |
dc.identifier.uri | https://dspace.ummto.dz/handle/ummto/25211 | |
dc.language.iso | fr | |
dc.publisher | UMMTO | |
dc.subject | Radiothérapie stéréotaxique | |
dc.subject | Images IRM | |
dc.subject | Physique médicale | |
dc.title | Optimisation des séquences d'acquisition des images IRM pour la radiothérapie stéréotaxique | |
dc.type | Thesis |