New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation

被引:49
|
作者
Mercier, Laurence [1 ]
Del Maestro, Rolando F. [2 ]
Petrecca, Kevin [2 ]
Kochanowska, Anna [1 ]
Drouin, Simon [1 ]
Yan, Charles X. B. [1 ]
Janke, Andrew L. [3 ]
Chen, Sean Jy-Shyang [1 ]
Collins, D. Louis [1 ]
机构
[1] McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ, Canada
[2] McGill Univ, Montreal Neurol Hosp & Inst, Brain Tumour Res Ctr, Montreal, PQ, Canada
[3] Australian Natl Univ, Dept Geriatr Med, Canberra, SA, Australia
基金
加拿大健康研究院;
关键词
Application accuracy; Image-guided surgery; Intraoperative imaging; Intraoperative ultrasound; Neuronavigation; Registration; BRAIN-SHIFT; 3-D ULTRASOUND; 3D ULTRASOUND; GUIDED NEUROSURGERY; TUMOR RESECTION; 3-DIMENSIONAL ULTRASOUND; REGISTRATION; CALIBRATION; MRI; ACCURACY;
D O I
10.1007/s11548-010-0535-3
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Purpose The aim of this report is to present IBIS (Interactive Brain Imaging System) NeuroNav, a new prototype neuronavigation system that has been developed in our research laboratory over the past decade that uses tracked intraoperative ultrasound to address surgical navigation issues related to brain shift. The unique feature of the system is its ability, when needed, to improve the initial patient-to-preoperative image alignment based on the intraoperative ultrasound data. Parts of IBIS Neuronav source code are now publicly available on-line. Methods Four aspects of the system are characterized in this paper: the ultrasound probe calibration, the temporal calibration, the patient-to-image registration and the MRI-ultrasound registration. In order to characterize its real clinical precision and accuracy, the system was tested in a series of adult brain tumor cases. Results Three metrics were computed to evaluate the precision and accuracy of the ultrasound calibration. 1) Reproducibility: 1.77mm and 1.65mm for the bottom corners of the ultrasound image, 2) point reconstruction precision 0.62-0.90mm: and 3) point reconstruction accuracy: 0.49-0.74mm. The temporal calibration error was estimated to be 0.82 ms. The mean fiducial registration error (FRE) of the homologous-point-based patient-to-MRI registration for our clinical data is 4.9 +/- 1.1mm. After the skin landmark-based registration, the mean misalignment between the ultrasound and MR images in the tumor region is 6.1 +/- 3.4 mm. Conclusions The components and functionality of a new prototype system are described and its precision and accuracy evaluated. It was found to have an accuracy similar to other comparable systems in the literature.
引用
收藏
页码:507 / 522
页数:16
相关论文
共 50 条
  • [21] Evaluation of a prototype 3D ultrasound system for multimodality imaging of cervical nodes for adaptive radiation therapy
    Fraser, Danielle
    Fava, Palma
    Cury, Fabio
    Vuong, Te
    Falco, Tony
    Verhaegen, Frank
    MEDICAL IMAGING 2007: VISUALIZATION AND IMAGE-GUIDED PROCEDURES, PTS 1 AND 2, 2007, 6509
  • [22] Prototype Description and Ex Vivo Evaluation of a System for Combined Endorectal Magnetic Resonance Imaging and In-Bore Biopsy of the Prostate
    Coakley, Fergus V.
    Foster, Bryan R.
    Schroeder, David W.
    Rooney, William D.
    Jones, Randall W.
    Amling, Christopher L.
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2024, 48 (03) : 378 - 381
  • [23] Validation study of a Kinect based body imaging system
    Braganca, Sara
    Arezes, Pedro
    Carvalho, Miguel
    Ashdown, Susan P.
    Xu, Bugao
    Castellucci, Ignacio
    WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION, 2017, 57 (01): : 9 - 21
  • [24] Preoperative Surgical Approach Planning for Metastatic Pituitary Stalk Tumor Using Multimodal Fusion Imaging in a Neuronavigation System-Case Report
    Yamada, Shoko Merrit
    Masahira, Noritaka
    Ikawa, Naoki
    Nakai, Eiichi
    Park, Kae Chang
    Shimizu, Keiji
    NEUROLOGIA MEDICO-CHIRURGICA, 2010, 50 (03) : 259 - 263
  • [25] Ultrasound-based navigation system incorporating preoperative planning for liver surgery
    Eulenstein, S
    Lange, T
    Hünerbein, M
    Schlag, PM
    Lamecker, H
    CARS 2004: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS, 2004, 1268 : 758 - 763
  • [26] Defining the medial-lateral axis of an anatomical femur coordinate system using freehand 3D ultrasound imaging
    Passmore, Elyse
    Sangeux, Morgan
    GAIT & POSTURE, 2016, 45 : 211 - 216
  • [27] A new system for computer-aided preoperative planning and intraoperative navigation during corrective jaw surgery
    Chapuis, Jonas
    Schramm, Alexander
    Pappas, Ion
    Hallermann, Wock
    Schwenzer-Zimmerer, Katja
    Langlotz, Frank
    Caversaccio, Marco
    IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2007, 11 (03): : 274 - 287
  • [28] Validation of 3D reconstructions of a mimicked femoral artery with an ultrasound imaging robotic system
    Janvier, Marie-Ange
    Soulez, Gilles
    Allard, Louise
    Cloutier, Guy
    MEDICAL PHYSICS, 2010, 37 (07) : 3868 - 3879
  • [29] RGBDX: first design and experimental validation of a mirror-based RGBD X-ray imaging system
    Habert, Severine
    Gardiazabal, Jose
    Fallavollita, Pascal
    Navab, Nassir
    2015 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, 2015, : 13 - 18
  • [30] A Multicenter International Temporal and External Validation Study of the Ultrasound-based Endometriosis Staging System
    Espada, Mercedes
    Leonardi, Mathew
    Aas-Eng, Kristina
    Lu, Chuan
    Reyftmann, Lionel
    Tetstall, Emma
    Slusarczyk, Basia
    Ludlow, Joanne
    Hudelist, Gernaud
    Reid, Shannon
    Condous, George
    JOURNAL OF MINIMALLY INVASIVE GYNECOLOGY, 2021, 28 (01) : 57 - 62