Title :
Surgical needle reconstruction using small-angle multi-view X-ray
Author :
Papalazarou, Chrysi ; Rongen, Peter M J ; De With, Peter H N
Author_Institution :
Eindhoven Univ. of Technol., Eindhoven, Netherlands
Abstract :
In biopsies, drainages, vertebroplasty, and other needle-based procedures, insight on the 3D position of a needle is crucial for correct navigation by the clinician. In this paper, we present a method for the reconstruction of surgical needles using multi-view X-ray imaging with a small motion of the C-arm. It is required that the extent of the motion is limited (<; 30 degrees) to allow use of this method during an intervention. This small motion provides sufficient multi-view information, which is used in combination with a needle model for the 3D reconstruction of the needle. To this end, we describe a system comprising the steps of (a) needle detection in a novel, RANSAC-based framework, (b) tracking of needles in subsequent views using geometric constraints and (c) needle reconstruction. Results are presented in comparison to a volume reconstruction using a full rotation of the C-arm (≈207 degrees), showing good accuracy of the proposed method.
Keywords :
X-ray imaging; image reconstruction; medical image processing; object tracking; 3D needle position; 3D reconstruction; C-arm; RANSAC-based framework; geometric constraints; multi-view X-ray imaging; multi-view information; needle detection; surgical needle reconstruction; Accuracy; Image reconstruction; Needles; Phantoms; Surgery; Three dimensional displays; X-ray imaging; multi-view X-ray; needle tracking; reconstruction;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5651328