Title :
Nophoto navigation technique for craniocerebral operation
Author :
Liu, Changzheng ; Guiyun, Ye
Author_Institution :
Higher Educ. Key Lab. for Meas. & Control Technol. & Instrumentations of Heilongjiang Province, Harbin, China
Abstract :
Every mapping can all be divided into three kind CT MRI and anatomic figure. Orientation to observe takes to can be divided into the cross section and arrow section and coronary section. The Image can be contracted to put, filled comments as well as corrected etc. Intraoperative imaging is used more frequently today since this enables the neurosurgeon to localize structures inside the brain more accurately and helps to detect shape changes.This paper highlights recent and ongoing research related to applications of Computer-assisted navigation technique in the neurosurgical operation. The purpose is to provide an overview for those reviewing research proposals and no image guidance in this field. It also provides a general introduction to virtual reality especially as it relates to health care. Based on a set of feature points, an initial sparse estimate of the displacement field is found by optimizing a local cost function. A nonlinear elastic model is then used to infer the volumetric deformation across the image. Inhomogeneous elasticity parameters are generated using empirically observed variability of the brain from a dataset of more than 200 adults. Initial results are generated on intraoperative image sequences showing brain shift. The direction of surgical operation should be constantly changed, especially in brain operation. Owing to the fact that the form is different from every patient, the positron that will be observed is narrow and small, the instrument of tradition makes doctor see the real direction in the operation very hard.
Keywords :
brain; computerised navigation; computerised tomography; deformation; elasticity; image sequences; medical image processing; neurophysiology; surgery; virtual reality; brain shift; computer-assisted navigation; craniocerebral operation; feature points; health care; inhomogeneous elasticity parameters; initial sparse estimate; intraoperative image sequences; intraoperative imaging; local cost function optimization; neurosurgeon; nonlinear elastic model; nophoto navigation technique; virtual reality; volumetric deformation; Biomedical measurements; Computed tomography; Magnetic resonance imaging; Navigation; Surges; World Wide Web; Craniocerebral Operation; Invasive Stereotactic Frames; Nophoto Navigation; stereotactic neurosurgery;
Conference_Titel :
Strategic Technology (IFOST), 2010 International Forum on
Conference_Location :
Ulsan
Print_ISBN :
978-1-4244-9038-7
Electronic_ISBN :
978-1-4244-9036-3
DOI :
10.1109/IFOST.2010.5667976