AIMC Topic: Radiation Dosage

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Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography.

Radiographics : a review publication of the Radiological Society of North America, Inc
Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with an orally administered contrast agent on CT colonographic images to improve the visibility of polyps during virtual endoscopic "fly-through" reading. ...

A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.

Medical physics
PURPOSE: Due to the potential risk of inducing cancer, radiation exposure by X-ray CT devices should be reduced for routine patient scanning. However, in low-dose X-ray CT, severe artifacts typically occur due to photon starvation, beam hardening, an...

Proposal for a Simple and Efficient Monthly Quality Management Program Assessing the Consistency of Robotic Image-Guided Small Animal Radiation Systems.

Health physics
Modern pre-clinical radiation therapy (RT) research requires high precision and accurate dosimetry to facilitate the translation of research findings into clinical practice. Several systems are available that provide precise delivery and on-board ima...

Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.

Medical physics
PURPOSE: Aims in this study are to (1) develop a computational model observer which reliably tracks the detectability of human observers in low dose computed tomography (CT) images reconstructed with knowledge-based iterative reconstruction (IMR™, Ph...

[Derivation of the optimum exposure condition for Guthmann-method by the fuzzy measure theory].

Nihon Hoshasen Gijutsu Gakkai zasshi
The purpose of this study is to decide the optimum exposure condition of Guthmann-method by the fuzzy measure theory. The samples for the fuzzy measure theory were created using the pelvis-phantom irradiated with various tube voltages (90-120 kV) and...