Results 201 to 210 of about 61,694 (297)
Feasibility of Artificial Intelligence-Processed Low-Dose Cone-Beam Computed Tomography in Dental Imaging. [PDF]
Park TY +6 more
europepmc +1 more source
Precision mapping of mandibular canal dimensions: cone beam computed tomography insights. [PDF]
Elboraey MO +7 more
europepmc +1 more source
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
Evaluation of the Relationship Between Zygomatic Process and Sphenoid Sinus Pneumatization in Cone-Beam Computed Tomography Images. [PDF]
Katı E, Akçiçek G, Zengin HY.
europepmc +1 more source
Radiation Dose Optimisation Through Artificial Intelligence (AI)‐based Auto‐Thorax Collimation
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
Morphological analysis of anatomical structure of nasopharynx in cone-beam computed tomography in Korean population. [PDF]
Lee C, Lee JY, MacDonald D.
europepmc +1 more source
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
Morphometric analysis of the mandibular incisive canal using cone beam computed tomography images. [PDF]
Safi Y +4 more
europepmc +1 more source
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

