Sökning: "bildregistrering"
Visar resultat 1 - 5 av 15 uppsatser innehållade ordet bildregistrering.
1. Respiratory Motion Correction in PET Imaging: Comparative Analysis of External Device and Data-driven Gating Approaches
Master-uppsats, KTH/FysikSammanfattning : Positron Emission Tomography (PET) is pivotal in medical imaging but is prone to artifactsfrom physiological movements, notably respiration. These motion artifacts both degradeimage quality and compromise precise attenuation correction. LÄS MER
2. Hypoxic Target Volume Determination in PET/CT Imaging : The Impact of Deformable Image Registration
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Using a tailored dose distribution for personalized radiotherapy with the help of positron emission tomography (PET) might give an edge for successful tumour elimination. One of the main determinants for tumour radioresistance in several solid tumours has been investigated as hypoxia, including head and neck cancer (HNC). LÄS MER
3. Deformable registration when combining brachytherapy and external beam radiotherapy
Master-uppsats, KTH/Medicinsk avbildningSammanfattning : Patients with cervical cancer are treated both with external beam radiotherapy(EBRT) and brachytherapy (BT) which involves an applicator. During the treatments, CT-images are taken and to perform dose calculations, deformable image registration (DIR) is performed. LÄS MER
4. Deformable image registration using anatomical landmarks in tubular structures
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : Cancer is one of the leading causes of death in the world, but advances in research and development of treatment methods is constantly ongoing to reduce the number of deaths and the amount of suffering. One of many approaches is radiation therapy, which uses high doses of radiation to kill tumors. LÄS MER
5. Deep Learning Based Deformable Image Registration of Pelvic Images
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Deformable image registration is usually performed manually by clinicians,which is time-consuming and costly, or using optimization-based algorithms, which are not always optimal for registering images of different modalities. In this work, a deep learning-based method for MR-CT deformable image registration is presented. LÄS MER