Feasibility of differential geometry-based features in detection of anatomical feature points on patient surfaces in range image-guided radiation therapy.

Mazen Soufi,Hidetaka Arimura,Katsumasa Nakamura,Fauzia Puspa Lestari,Freddy Haryanto,Taka-aki Hirose,Yoshiyuki Umedu,Yoshiyuki Shioyama,Fukai Toyofuku

Feasibility of differential geometry-based features in detection of anatomical feature points on patient surfaces in range image-guided radiation therapy.

2016

Mazen Soufi
Hidetaka Arimura
Katsumasa Nakamura
Fauzia Puspa Lestari
Freddy Haryanto
Taka-aki Hirose
Yoshiyuki Umedu
Yoshiyuki Shioyama
Fukai Toyofuku

Purpose To investigate the feasibility of differential geometry features in the detection of anatomical feature points on a patient surface in infrared-ray-based range images in image-guided radiation therapy.

Keywords:

Computer vision
Artificial intelligence
Image-guided radiation therapy
Anatomical feature
Radiation therapy
Differential geometry
Mathematics
Point distribution model
Template matching
Curvature
Imaging phantom
Region of interest

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