@article{
 title = {A Real-Time, Soft Robotic Patient Positioning System for Maskless Head-and-Neck Cancer Radiotherapy : An Initial Investigation *},
 type = {article},
 year = {2015},
 identifiers = {[object Object]},
 keywords = {Emerging Topics in Automation,I.,Life Sciences and Health Care,Mechatronics},
 pages = {7},
 id = {3e830030-b06c-3fd7-8967-f3153e387ae5},
 created = {2015-06-19T19:58:44.000Z},
 file_attached = {true},
 profile_id = {ac6ea3d6-def2-3e3f-b8fd-4db9697c94d6},
 last_modified = {2016-03-19T12:47:38.000Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 abstract = {We present an initial examination of a novel approach to accurately position a patient during head and neck intensity modulated radiotherapy (IMRT). Position-based visual-servoing of a radio-transparent soft robot is used to control the flexion/extension cranial motion of a manikin head. A Kinect RGB-D camera is used to measure head position and the error between the sensed and desired position is used to control a pneumatic system which regulates pressure within an inflatable air bladder (IAB). Results show that the system is capable of controlling head motion to within 2mm with respect to a reference trajectory. This establishes proof-of- concept that using multiple IABs and actuators can improve cancer treatment.},
 bibtype = {article},
 author = {Ogunmolu, Olalekan P and Gu, Xuejun and Jiang, Steve and Gans, Nicholas R},
 journal = {IEEE Conference on Automation Science and Engineering}
}

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