AI Medical Compendium Journal:
IEEE transactions on radiation and plasma medical sciences

Showing 1 to 5 of 5 articles

Systematic Review on Learning-based Spectral CT.

IEEE transactions on radiation and plasma medical sciences
Spectral computed tomography (CT) has recently emerged as an advanced version of medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two main forms: dual-energy computed tomography (DECT) and photon-counting compute...

Artificial Intelligence in Radiation Therapy.

IEEE transactions on radiation and plasma medical sciences
Artificial intelligence (AI) has great potential to transform the clinical workflow of radiotherapy. Since the introduction of deep neural networks, many AI-based methods have been proposed to address challenges in different aspects of radiotherapy. ...

Application and Construction of Deep Learning Networks in Medical Imaging.

IEEE transactions on radiation and plasma medical sciences
Deep learning (DL) approaches are part of the machine learning (ML) subfield concerned with the development of computational models to train artificial intelligence systems. DL models are characterized by automatically extracting high-level features ...

Effect of PET-MR Inconsistency in the Kernel Image Reconstruction Method.

IEEE transactions on radiation and plasma medical sciences
Anatomically-driven image reconstruction algorithms have become very popular in positron emission tomography (PET) where they have demonstrated improved image resolution and quantification. This work, consider the effect of spatial inconsistency betw...

Maximum-Likelihood Estimation of Scintillation Pulse Timing.

IEEE transactions on radiation and plasma medical sciences
Including time-of-flight information in positron emission tomography (PET) reconstruction increases the signal-to-noise ratio if the timing information is sufficiently accurate. We estimate timing information by analyzing sampled waveforms, where the...