Purpose Thiel embalming followed by freezing in the desired position and acquiring CT+
MRI scans is expected to be the ideal approach to obtain accurate, enhanced CT data for …

Purpose The purpose of this work was to evaluate the performance of X‐Net, a multiview
deep learning architecture, to automatically label vertebral levels (S2‐C1) in palliative …

A novel deep learning architecture was explored to create synthetic CT (MRCT) images that
preserve soft tissue contrast necessary for support of patient positioning in Radiation …

Background and purpose Currently, there is no robust indicator within the Cone-Beam
Computed Tomography (CBCT) DICOM headers as to which anatomical region is present …

Purpose: To develop an image processing method for MRI‐based generation of electron
density maps, known as pseudo‐CT (pCT), without usage of model‐or atlas‐based …

Radiation therapy planning can benefit from the superior display of soft tissue contrasts and
the delineation of tumor and critical organs in magnetic resonance imaging. In this study, an …

Magnetic resonance imaging (MRI) is being increasingly used in radiotherapy treatment
planning (RTP). MRI has the potential to provide improved localisation of target volumes …

Background and purpose Spine delineation is essential for high quality radiotherapy
treatment planning of spinal metastases. However, manual delineation is time-consuming …

Background and purpose Two techniques for metal artefact reduction for computed
tomography were studied in order to identify their impact on tumour delineation in …

Uncertainty and inconsistency are observed in target volume delineation in the head and
neck for radiotherapy treatment planning based only on CT imaging. Alternative modalities …