Comput. Aided Surg. - Methods for abdominal respiratory motion tracking.

Tópicos

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Resumo

Non-invasive surface registration methods have been developed to register and track breathing motions in a patient's abdomen and thorax. We evaluated several different registration methods, including marker tracking using a stereo camera, chessboard image projection, and abdominal point clouds. Our point cloud approach was based on a time-of-flight (ToF) sensor that tracked the abdominal surface. We tested different respiratory phases using additional markers as landmarks for the extension of the non-rigid Iterative Closest Point (ICP) algorithm to improve the matching of irregular meshes. Four variants for retrieving the correspondence data were implemented and compared. Our evaluation involved 9 healthy individuals (3 females and 6 males) with point clouds captured in opposite breathing phases (i.e., inhalation and exhalation). We measured three factors: surface distance, correspondence distance, and marker error. To evaluate different methods for computing the correspondence measurements, we defined the number of correspondences for every target point and the average correspondence assignment error of the points nearest the markers.

Resumo Limpo

noninvas surfac registr method develop regist track breath motion patient abdomen thorax evalu sever differ registr method includ marker track use stereo camera chessboard imag project abdomin point cloud point cloud approach base timeofflight tof sensor track abdomin surfac test differ respiratori phase use addit marker landmark extens nonrigid iter closest point icp algorithm improv match irregular mesh four variant retriev correspond data implement compar evalu involv healthi individu femal male point cloud captur opposit breath phase ie inhal exhal measur three factor surfac distanc correspond distanc marker error evalu differ method comput correspond measur defin number correspond everi target point averag correspond assign error point nearest marker

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