Neuronavigation uses the skull as a reference system for transfer of image-space data to physical space during brain surgery. This requires a stable spatial relation between the skull and intracranial structures. However, especially dura opening and preparation for lesion removal causes brain shift. This shift may mislead the surgeon unless preoperatively defined image-space data are corrected for shifting online intraoperatively. Since a real-time modality is required intraoperatively, we propose three-dimensional (3 D) ultrasonography for detection of brain shift. By coupling common ultrasound probes (3.5/6.5 MHz) to a magnetic digitizer receiver 2 D-ultrasound scans were obtained intraoperatively along with their spatial orientation. 3 D-ultrasonography was achieved by alignment of sequentially obtained 2 D-scans. For multimodal matching, preoperative MRI data was segmented for landmarks (cerebral ventricles, lesion) automatically. The 3 D-ultrasonography data set scanned intraoperatively was contoured and matched with the MRI data set. Intraoperative 3 D-ultrasonography revealed excellent delineation of landmarks in almost real time in six patients studied. Matching of MRI data and intraoperative 3 D-ultrasonography data was successful with good correspondence of landmarks. Intraoperative 3 D-ultrasonography is proposed as a promising tool for on-line detection of brain shift during intracranial operations.
:This paper is devoted to the analysis of a broad technological field of Mechatronics, Robotics and Components for automation and control systems. Several subfields are considered: i) Components and instruments, involving sensors, actuators, embedded systems and communications; ii) Mechatronics concepts and technologies; iii) Robotics; iv) Human-machine systems, including technical issues and social implications; and v) Cost-oriented automation which is a multidisciplinary field involving theory, technologies and application as well as economical and social issues. First current key problems in this field are considered then, the accomplishment and trends are analysed. Finally, the forecast is presented.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.