Correlating Chest Surface Motion to Motion of the Liver using $\varepsilon$-{SVR} -- a Porcine Study

Type of publication:  Artikel in einem Konferenzbericht
Buchtitel: MICCAI 2009, Part II
Serie: Lecture Notes in Computer Science
Band: 5762
Jahr: 2009
Monat: September
Seiten: 356--364
Verlag: Springer
Ort: London, United Kingdom
Organisation: MICCAI
Notiz: Motion Compensation in Radiosurgery
Querverweis: MICCAI09:
DOI: 10.1007/978-3-642-04271-3_44
Abriss: In robotic radiosurgery, the compensation of motion of internal organs is vital. This is currently done in two phases: an external surrogate signal (usually active optical markers placed on the patient’s chest) is recorded and subsequently correlated to an internal motion signal obtained using stereoscopic X-ray imaging. This internal signal is sampled very infrequently to minimise the patient’s exposure to radiation. We have investigated the correlation of the external signal to the motion of the liver in a porcine study using ε-support vector regression. IR LEDs were placed on the swines’ chest. Gold fiducials were placed in the swines’ livers and were recorded using a two-plane X-ray system. The results show that a very good correlation model can be built using ε-SVR, in this test clearly outperforming traditional polynomial models by at least 45 and as much as 74 %. Using multiple markers simultaneously can increase the new model’s accuracy.
Nutzerfelder: file={emsb_09.pdf:emsb_09.pdf:PDF}
Autoren: Ernst, Floris
Martens, Volker
Schlichting, Stefan
Beširević, Armin
Kleemann, Markus
Koch, Christoph
Petersen, Dirk
Schweikard, Achim
  • emsb_09.pdf