Computed tomography slice interpolation in the longitudinal direction based on deep learning techniques: to reduce slice thickness or slice increment without dose increase

HIGHLIGHTS

• who: Shuqiong Wu and colleagues from the The Institute of Scientific and Industrial Research, Osaka, Ibaraki, Osaka, Japan, GraduateMedicine, Kyoto University, or have a cooperation have published the Article: Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase, in the Journal: PLOS ONE of 28/09/2021
• what: The authors propose a deep-learning-based approach to reconstruct densely sliced CT from sparsely sliced CT without any dose increase. To prevent multiple reconstructed slices from influencing one another the authors propose . . .
  

   

  

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