Published in:
Open Access
01-11-2015 | Original Article
Design and evaluation of a computed tomography (CT)-compatible needle insertion device using an electromagnetic tracking system and CT images
Authors:
Navid Shahriari, Edsko Hekman, Matthijs Oudkerk, Sarthak Misra
Published in:
International Journal of Computer Assisted Radiology and Surgery
|
Issue 11/2015
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Abstract
Purpose
Percutaneous needle insertion procedures are commonly used for diagnostic and therapeutic purposes. Although current technology allows accurate localization of lesions, they cannot yet be precisely targeted. Lung cancer is the most common cause of cancer-related death, and early detection reduces the mortality rate. Therefore, suspicious lesions are tested for diagnosis by performing needle biopsy.
Methods
In this paper, we have presented a novel computed tomography (CT)-compatible needle insertion device (NID). The NID is used to steer a flexible needle (\({\phi }0.55\,\hbox {mm}\)) with a bevel at the tip in biological tissue. CT images and an electromagnetic (EM) tracking system are used in two separate scenarios to track the needle tip in three-dimensional space during the procedure. Our system uses a control algorithm to steer the needle through a combination of insertion and minimal number of rotations.
Results
Noise analysis of CT images has demonstrated the compatibility of the device. The results for three experimental cases (case 1: open-loop control, case 2: closed-loop control using EM tracking system and case 3: closed-loop control using CT images) are presented. Each experimental case is performed five times, and average targeting errors are \(2.86\pm 1.14\), \(1.11\pm 0.14\) and \(1.94\pm 0.63\,\hbox {mm}\) for case 1, case 2 and case 3, respectively.
Conclusions
The achieved results show that our device is CT-compatible and it is able to steer a bevel-tipped needle toward a target. We are able to use intermittent CT images and EM tracking data to control the needle path in a closed-loop manner. These results are promising and suggest that it is possible to accurately target the lesions in real clinical procedures in the future.