UNet and MobileNet CNN-based model observers for CT protocol optimization: comparative performance evaluation by means of phantom CT images.

Federico Valeri,Maurizio Bartolucci,Elena Cantoni,Roberto Carpi,Evaristo Cisbani,Ilaria Cupparo,Sandra Doria,Cesare Gori,Mauro Grigioni,Lorenzo Lasagni,Alessandro Marconi,Lorenzo Nicola Mazzoni,Vittorio Miele,Silvia Pradella,Guido Risaliti,Valentina Sanguineti,Diego Sona,Letizia Vannucchi,Adriana Taddeucci

Journal of medical imaging (Bellingham, Wash.)（2023）

Cited 0|Views40

No score

Abstract

Very good agreement was measured between the human observer and MO, as well as between the performance of the two algorithms. Therefore, this work is highly supportive of the feasibility of employing CNN-MO combined with a specifically designed phantom for CT protocol optimization programs.

Translated text

Key words

artificial intelligence,computed tomography,dose optimization,image quality evaluation,model observer

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined