2018
Tokuda, Junichi; Chauvin, Laurent; Ninni, Brian; Kato, Takahisa; King, Franklin; Tuncali, Kemal; Hata, Nobuhiko
Motion compensation for MRI-compatible patient-mounted needle guide device: estimation of targeting accuracy in MRI-guided kidney cryoablations Journal Article
In: PHYSICS IN MEDICINE AND BIOLOGY, vol. 63, no. 8, pp. 085010, 2018, ISSN: 0031-9155, 1361-6560, (Num Pages: 16 Place: Bristol Publisher: IoP Publishing Ltd Web of Science ID: WOS:000429950600005).
Abstract | Links | BibTeX | Tags: ABLATION, CRYOTHERAPY, CT, guidance, LIVER-TUMORS, manipulator, MRI-compatible robot, MRI-guided interventions, PERCUTANEOUS CRYOABLATION, renal cryoablation, Robot, SYSTEM, THERAPY
@article{tokuda_motion_2018,
title = {Motion compensation for MRI-compatible patient-mounted needle guide device: estimation of targeting accuracy in MRI-guided kidney cryoablations},
author = {Junichi Tokuda and Laurent Chauvin and Brian Ninni and Takahisa Kato and Franklin King and Kemal Tuncali and Nobuhiko Hata},
doi = {10.1088/1361-6560/aab736},
issn = {0031-9155, 1361-6560},
year = {2018},
date = {2018-04-01},
journal = {PHYSICS IN MEDICINE AND BIOLOGY},
volume = {63},
number = {8},
pages = {085010},
abstract = {Patient-mounted needle guide devices for percutaneous ablation are vulnerable to patient motion. The objective of this study is to develop and evaluate a software system for an MRI-compatible patient-mounted needle guide device that can adaptively compensate for displacement of the device due to patient motion using a novel image-based automatic device-to-image registration technique. We have developed a software system for an MRI-compatible patient-mounted needle guide device for percutaneous ablation. It features fully-automated image-based device-to-image registration to track the device position, and a device controller to adjust the needle trajectory to compensate for the displacement of the device. We performed: (a) a phantom study using a clinical MR scanner to evaluate registration performance; (b) simulations using intraoperative time-series MR data acquired in 20 clinical cases of MRI-guided renal cryoablations to assess its impact on motion compensation; and (c) a pilot clinical study in three patients to test its feasibility during the clinical procedure. FRE, TRE, and success rate of device-to-image registration were 2.71 +/- 2.29 mm,1.74 +/- 1.13 mm, and 98.3% for the phantom images. The simulation study showed that the motion compensation reduced the targeting error for needle placement from 8.2 mm to 5.4 mm (p < 0.0005) in patients under general anesthesia (GA), and from 14.4 mm to 10.0 mm (p < 1.0 x 10 -5 ) in patients under monitored anesthesia care (MAC). The pilot study showed that the software registered the device successfully in a clinical setting. Our simulation study demonstrated that the software system could significantly improve targeting accuracy in patients treated under both MAC and GA. Intraprocedural image-based device-to-image registration was feasible.},
note = {Num Pages: 16
Place: Bristol
Publisher: IoP Publishing Ltd
Web of Science ID: WOS:000429950600005},
keywords = {ABLATION, CRYOTHERAPY, CT, guidance, LIVER-TUMORS, manipulator, MRI-compatible robot, MRI-guided interventions, PERCUTANEOUS CRYOABLATION, renal cryoablation, Robot, SYSTEM, THERAPY},
pubstate = {published},
tppubtype = {article}
}
Patient-mounted needle guide devices for percutaneous ablation are vulnerable to patient motion. The objective of this study is to develop and evaluate a software system for an MRI-compatible patient-mounted needle guide device that can adaptively compensate for displacement of the device due to patient motion using a novel image-based automatic device-to-image registration technique. We have developed a software system for an MRI-compatible patient-mounted needle guide device for percutaneous ablation. It features fully-automated image-based device-to-image registration to track the device position, and a device controller to adjust the needle trajectory to compensate for the displacement of the device. We performed: (a) a phantom study using a clinical MR scanner to evaluate registration performance; (b) simulations using intraoperative time-series MR data acquired in 20 clinical cases of MRI-guided renal cryoablations to assess its impact on motion compensation; and (c) a pilot clinical study in three patients to test its feasibility during the clinical procedure. FRE, TRE, and success rate of device-to-image registration were 2.71 +/- 2.29 mm,1.74 +/- 1.13 mm, and 98.3% for the phantom images. The simulation study showed that the motion compensation reduced the targeting error for needle placement from 8.2 mm to 5.4 mm (p < 0.0005) in patients under general anesthesia (GA), and from 14.4 mm to 10.0 mm (p < 1.0 x 10 -5 ) in patients under monitored anesthesia care (MAC). The pilot study showed that the software registered the device successfully in a clinical setting. Our simulation study demonstrated that the software system could significantly improve targeting accuracy in patients treated under both MAC and GA. Intraprocedural image-based device-to-image registration was feasible.