Title :
Statistical atlas based registration and planning for ablating bone tumors in minimally invasive interventions
Author :
Xin Kang ; Hongliang Ren ; Jing Li ; Wai-Pan Yau
Author_Institution :
Children´s Nat. Med. Center, Sheikh Zayed Inst. for Pediatric Surg. Innovation, Washington, DC, USA
Abstract :
Bone tumor ablation has been a viable treatment in a minimally invasive way compared with surgical resections. In this paper, two key challenges in the computer-assisted bone tumor ablation have been addressed: 1) establishing the spatial transformation of patient´s tumor with respect to a global map of the patient using a minimum number of intra-operative images and 2) optimal treatment planning for large tumors. Statistical atlas is employed to construct the global reference map. The atlas is deformably registered to a pair of intra-operative fluoroscopy images, constructing a patient-specific model, in order to reduce the radiation exposure to the sensitive patients such as pregnant and infants. The optimal treatment planning system incorporates clinical constraints on ablations and trajectories using a multiple objective optimization, which obtains optimal trajectory planning and ablation coverage using integer programming. The proposed system is presented and validated by experiments.
Keywords :
bone; image registration; integer programming; medical image processing; statistical analysis; surgery; tumours; clinical constraint; computer-assisted bone tumor ablation; global reference map; integer programming; intraoperative fluoroscopy image; intraoperative image; minimally invasive intervention; multiple objective optimization; optimal treatment planning; patient tumor; patient-specific model; radiation exposure; spatial transformation; statistical atlas based registration; surgical resection; Ablation; Deformable registration; Optimization; Planning; Statistical Atlas;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-2125-9
DOI :
10.1109/ROBIO.2012.6491033