Dual energy computed tomography for the head.
Norihito NarutoToshihide ItohKyo NoguchiPublished in: Japanese journal of radiology (2017)
Dual energy CT (DECT) is a promising technology that provides better diagnostic accuracy in several brain diseases. DECT can generate various types of CT images from a single acquisition data set at high kV and low kV based on material decomposition algorithms. The two-material decomposition algorithm can separate bone/calcification from iodine accurately. The three-material decomposition algorithm can generate a virtual non-contrast image, which helps to identify conditions such as brain hemorrhage. A virtual monochromatic image has the potential to eliminate metal artifacts by reducing beam-hardening effects. DECT also enables exploration of advanced imaging to make diagnosis easier. One such novel application of DECT is the X-Map, which helps to visualize ischemic stroke in the brain without using iodine contrast medium.
Keyphrases
- dual energy
- computed tomography
- deep learning
- image quality
- contrast enhanced
- machine learning
- resting state
- white matter
- positron emission tomography
- magnetic resonance
- magnetic resonance imaging
- artificial intelligence
- convolutional neural network
- functional connectivity
- cerebral ischemia
- high resolution
- chronic kidney disease
- big data
- atrial fibrillation
- body composition
- multiple sclerosis
- brain injury
- risk assessment
- blood brain barrier
- human health
- soft tissue
- data analysis