Results 191 to 200 of about 94,525 (276)

Australian Society of Medical Imaging and Radiation Therapy Image Registration in Radiation Therapy Position Paper

open access: yesJournal of Medical Radiation Sciences, EarlyView.
The ASMIRT Image Registration Working Party outlines the critical role of radiation therapists in performing, assessing and documenting rigid and deformable image registration across treatment planning, delivery and adaptive workflows. The position paper emphasises consistent nomenclature, robust QA processes, strong collaboration with diagnostic ...
Tamara Barry   +4 more
wiley   +1 more source

Radiation Dose Optimisation Through Artificial Intelligence (AI)‐based Auto‐Thorax Collimation

open access: yesJournal of Medical Radiation Sciences, EarlyView.
This study evaluated AI‐based Auto‐Thorax Collimation (ATC) for radiation dose optimisation in posteroanterior chest radiography compared with manual collimation. ATC demonstrated tighter lateral collimation and reduced inter‐operator variability while maintaining comparable repeat rates.
Derek (Yoon‐Sang) Lee   +3 more
wiley   +1 more source

Intrafraction motion and impact of margin reduction for MR‐Linac online adaptive radiotherapy for pancreatic cancer treatments

open access: yesJournal of Medical Radiation Sciences, Volume 72, Issue 1, Page 17-24, March 2025.
This analysis included quantification of intrafraction motion in pancreas stereotactic ablative radiotherapy treated on the MR‐Linac, leading to the development of adjusted (PTV) margins. Intrafraction motion indicated an average target displacement of 1–3 mm, resulting in an adjusted PTV margin of 2 mm in the right–left and superior–inferior ...
Ashleigh Fasala   +6 more
wiley   +1 more source

A field of view-based assessment of soft tissue calcifications in cone beam computed tomography of the maxillofacial region. [PDF]

open access: yesSci Rep
Latifi Douabsari M   +5 more
europepmc   +1 more source

Deep learning cone‐beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects

open access: yesJournal of Periodontology, EarlyView.
Abstract Background The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone‐beam computed tomography (CBCT) enables detailed imaging of these defects; however, to leverage their full potential, CBCT images must be reconstructed in 3 dimensions (3D).
Daniel Palkovics   +8 more
wiley   +1 more source

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