Dual-energy CT revisited: a focused review of clinical use cases.
Simon LennartzDavid ZopfsNils Große HokampPublished in: RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin (2024)
· Virtual monoenergetic images, virtual unenhanced images, and iodine maps are the most well-investigated and relevant dual-energy CT reconstructions for clinical application.. · Low-keV virtual monoenergetic images (VMIs) yield superior image and iodine contrast, which can be leveraged for improved vessel assessment and lesion conspicuity, or to reduce contrast media or radiation dose. VMIs at intermediate energies can serve as a replacement for conventional grey-scale images. VMIs at high keV enable efficient artifact reduction, which can be further optimized in combination with dedicated metal artifact reduction algorithms.. · Iodine maps and virtual unenhanced images can improve lesion detection in oncologic imaging and enable lesion assessment in monophasic CT examinations, which may allow a reduction of correlative and follow-up imaging..
Keyphrases
- dual energy
- deep learning
- computed tomography
- image quality
- convolutional neural network
- contrast enhanced
- optical coherence tomography
- machine learning
- high resolution
- magnetic resonance
- magnetic resonance imaging
- positron emission tomography
- multiple sclerosis
- rectal cancer
- prostate cancer
- minimally invasive
- high speed
- sensitive detection
- clinical evaluation