Application of frozen Thiel-embalmed specimens for radiotherapy delineation guideline development: a method to create accurate MRI-enhanced CT datasets.
Michael E J StouthandelPim PullensStephanie BogaertMax SchoepenCarl VangestelEric AchtenLiv VeldemanTom Van HoofPublished in: Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] (2022)
Based on the excellent MRI image quality and the submillimeter error margin, the procedure of scanning frozen Thiel-embalmed specimens in the treatment position to obtain enhanced CT scans is recommended. The procedure can be used to support the postulation of delineation guidelines, or for training deep learning algorithms, considering automated segmentations.
Keyphrases
- image quality
- deep learning
- contrast enhanced
- computed tomography
- dual energy
- magnetic resonance imaging
- machine learning
- artificial intelligence
- diffusion weighted imaging
- high resolution
- minimally invasive
- magnetic resonance
- positron emission tomography
- convolutional neural network
- fine needle aspiration
- radiation therapy
- locally advanced
- high throughput
- clinical practice
- mass spectrometry
- rna seq
- single cell
- smoking cessation
- rectal cancer
- virtual reality
- pet ct
- replacement therapy