Evaluation of a CT-Guided Robotic System for Precise Percutaneous Needle Insertion

2018 ◽  
Vol 29 (10) ◽  
pp. 1440-1446 ◽  
Author(s):  
Eliel Ben-David ◽  
Moran Shochat ◽  
Ido Roth ◽  
Isaac Nissenbaum ◽  
Jacob Sosna ◽  
...  
Radiology ◽  
2017 ◽  
Vol 285 (2) ◽  
pp. 454-461 ◽  
Author(s):  
Takao Hiraki ◽  
Tetsushi Kamegawa ◽  
Takayuki Matsuno ◽  
Jun Sakurai ◽  
Yasuzo Kirita ◽  
...  

2021 ◽  
Author(s):  
Iori Ikeda ◽  
Kai Sekine ◽  
Ryosuke Tsumura ◽  
Hiroyasu Iwata

2008 ◽  
Vol 2 (2) ◽  
Author(s):  
Vishnu G. Mallapragada ◽  
Nilanjan Sarkar ◽  
Tarun K. Podder

Breast biopsy guided by imaging techniques is widely used to evaluate suspicious masses within the breast. Current procedure allows the physician to determine location and extent of a tumor in the patient breast before inserting the needle. There are several problems with this procedure: Complex interaction dynamics between needle and breast tissue will likely displace the tumor from its original position necessitating multiple insertions, causing surgeons’ fatigue, patient’s discomfort, and compromising integrity of the tissue specimen. We present a new concept for real-time manipulation of a tumor using a robotic system that monitors the image of the tumor to generate appropriate external force to position the tumor at a desired location. The objective is to demonstrate that it is possible to manipulate a tumor in real-time by applying controlled external force in an automated way such that the tumor does not deviate from the path of the needle. We have demonstrated efficacy of this approach on breast phantoms. The robotic system consists of an ultrasound probe for image acquisition, a guiding mechanism for automatic probe orientation, image processing algorithm for extracting tumor position and PID (proportional-integral-derivative) controlled actuators for tumor manipulation. We have successfully tested this system for accessing mobile lesions during multiple needle insertion trials. This approach has the potential to reduce the number of attempts a surgeon makes to capture the desired tissue specimen, minimize tissue damage, improve speed of biopsy, and reduce patient discomfort.


Author(s):  
Keisuke SAITO ◽  
Tetsushi KAMEGAWA ◽  
Takayuki MATSUNO ◽  
Takao HIRAKI ◽  
Akio GOFUKU
Keyword(s):  

2019 ◽  
Vol 5 (2) ◽  
pp. 23
Author(s):  
Austin Taylor ◽  
Sheng Xu ◽  
Bradford Wood ◽  
Zion Tse

The objective of this study is to preliminarily evaluate a lesion-targeting device for CT-guided interventions. The device is created by laser cutting the structure from a sheet of medical grade paperboard, 3D printing two radiocontrast agent grids onto the surface and folding the structure into a rectangular prism with a viewing window. An abdominal imaging phantom was used to evaluate the device through CT imaging and the targeting of lesions for needle insertion. The lesion-targeting trials resulted in a mean targeting error of 2.53 mm (SD 0.59 mm, n = 30). The device is rigid enough to adequately support standard biopsy needles, and it attaches to the patient, reducing the risk of tissue laceration by needles held rigidly in place by an external manipulator. Additional advantages include adequate support for the insertion of multiple surgical tools at once for procedures such as composite ablation and the potential to guide off-axial needle insertion. The low-cost and disposability of the device make it well-suited for the minimally invasive image-guided therapy environment.


2019 ◽  
Vol 30 (3) ◽  
pp. 1342-1349 ◽  
Author(s):  
Toshiyuki Komaki ◽  
Takao Hiraki ◽  
Tetsushi Kamegawa ◽  
Takayuki Matsuno ◽  
Jun Sakurai ◽  
...  

Abstract Objectives To evaluate the accuracy of robotic CT-guided out-of-plane needle insertion in phantom and animal experiments. Methods A robotic system (Zerobot), developed at our institution, was used for needle insertion. In the phantom experiment, 12 robotic needle insertions into a phantom at various angles in the XY and YZ planes were performed, and the same insertions were manually performed freehand, as well as guided by a smartphone application (SmartPuncture). Angle errors were compared between the robotic and smartphone-guided manual insertions using Student’s t test. In the animal experiment, 6 robotic out-of-plane needle insertions toward targets of 1.0 mm in diameter placed in the kidneys and hip muscles of swine were performed, each with and without adjustment of needle orientation based on reconstructed CT images during insertion. Distance accuracy was calculated as the distance between the needle tip and the target center. Results In the phantom experiment, the mean angle errors of the robotic, freehand manual, and smartphone-guided manual insertions were 0.4°, 7.0°, and 3.7° in the XY plane and 0.6°, 6.3°, and 0.6° in the YZ plane, respectively. Robotic insertions in the XY plane were significantly (p < 0.001) more accurate than smartphone-guided insertions. In the animal experiment, the overall mean distance accuracy of robotic insertions with and without adjustment of needle orientation was 2.5 mm and 5.0 mm, respectively. Conclusion Robotic CT-guided out-of-plane needle insertions were more accurate than smartphone-guided manual insertions in the phantom and were also accurate in the in vivo procedure, particularly with adjustment during insertion. Key Points • Out-of-plane needle insertions performed using our robot were more accurate than smartphone-guided manual insertions in the phantom experiment and were also accurate in the in vivo procedure. • In the phantom experiment, the mean angle errors of the robotic and smartphone-guided manual out-of-plane needle insertions were 0.4° and 3.7° in the XY plane (p < 0.001) and 0.6° and 0.6° in the YZ plane (p = 0.65), respectively. • In the animal experiment, the overall mean distance accuracies of the robotic out-of-plane needle insertions with and without adjustments of needle orientation during insertion were 2.5 mm and 5.0 mm, respectively.


Author(s):  
Yugo TACHIBANA ◽  
Tetsushi KAMEGAWA ◽  
Takayuki MATSUNO ◽  
Takao HIRAKI ◽  
Keiji TANIMOTO ◽  
...  

2017 ◽  
Vol 44 (9) ◽  
pp. 4828-4837 ◽  
Author(s):  
Huaisu Dou ◽  
Shan Jiang ◽  
Zhiyong Yang ◽  
Luqing Sun ◽  
Xiaodong Ma ◽  
...  
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