Literature DB >> 20033601

Localization and registration accuracy in image guided neurosurgery: a clinical study.

Reuben R Shamir1, Leo Joskowicz, Sergey Spektor, Yigal Shoshan.   

Abstract

PURPOSE: To measure and compare the clinical localization and registration errors in image-guided neurosurgery, with the purpose of revising current assumptions.
MATERIALS AND METHODS: Twelve patients who underwent brain surgeries with a navigation system were randomly selected. A neurosurgeon localized and correlated the landmarks on preoperative MRI images and on the intraoperative physical anatomy with a tracked pointer. In the laboratory, we generated 612 scenarios in which one landmark pair was defined as the target and the remaining ones were used to compute the registration transformation. Four errors were measured: (1) fiducial localization error (FLE); (2) target registration error (TRE); (3) fiducial registration error (FRE); (4) Fitzpatrick's target registration error estimation (F-TRE). We compared the different errors and computed their correlation.
RESULTS: The image and physical FLE ranges were 0.5-2.0 and 1.6-3.0 mm, respectively. The measured TRE, FRE and F-TRE were 4.1 +/- 1.6, 3.9 +/- 1.2, and 3.7 +/- 2.2 mm, respectively. Low correlations of 0.19 and 0.37 were observed between the FRE and TRE and between the F-TRE and the TRE, respectively. The differences of the FRE and F-TRE from the TRE were 1.3 +/- 1.0 mm (max = 5.5 mm) and 1.3 +/- 1.2 mm (max = 7.3 mm), respectively.
CONCLUSION: Contrary to common belief, the FLE presents significant variations. Moreover, both the FRE and the F-TRE are poor indicators of the TRE in image-to-patient registration.

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Year:  2008        PMID: 20033601     DOI: 10.1007/s11548-008-0268-8

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  14 in total

1.  Frameless stereotactic navigation in transsphenoidal surgery: comparison with fluoroscopy.

Authors:  Ian E McCutcheon; Ryan S Kitagawa; Paula F Demasi; Brian K Law; Keith E Friend
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2.  Analytic expressions for fiducial and surface target registration error.

Authors:  Burton Ma; Randy E Ellis
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

3.  Improved statistical TRE model when using a reference frame.

Authors:  Andrew D Wiles; Terry M Peters
Journal:  Med Image Comput Comput Assist Interv       Date:  2007

4.  On fiducial target registration error in the presence of anisotropic noise.

Authors:  Burton Ma; Mehdi H Moghari; Randy E Ellis; Purang Abolmaesumi
Journal:  Med Image Comput Comput Assist Interv       Date:  2007

5.  Comparing unscented and extended Kalman filter algorithms in the rigid-body point-based registration.

Authors:  Mehdi Hedjazi Moghari; Purang Abolmaesumi
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

6.  User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability.

Authors:  Paul A Yushkevich; Joseph Piven; Heather Cody Hazlett; Rachel Gimpel Smith; Sean Ho; James C Gee; Guido Gerig
Journal:  Neuroimage       Date:  2006-03-20       Impact factor: 6.556

7.  A statistical model for point-based target registration error with anisotropic fiducial localizer error.

Authors:  Andrew D Wiles; Alexander Likholyot; Donald D Frantz; Terry M Peters
Journal:  IEEE Trans Med Imaging       Date:  2008-03       Impact factor: 10.048

8.  Predicting error in rigid-body point-based registration.

Authors:  J M Fitzpatrick; J B West; C R Maurer
Journal:  IEEE Trans Med Imaging       Date:  1998-10       Impact factor: 10.048

9.  Frameless stereotactic guided neurosurgery: clinical experience with an infrared based pointer device navigation system.

Authors:  K Roessler; K Ungersboeck; W Dietrich; M Aichholzer; K Hittmeir; C Matula; T Czech; W T Koos
Journal:  Acta Neurochir (Wien)       Date:  1997       Impact factor: 2.216

10.  Comparison of accuracy and precision between frame-based and frameless stereotactic navigation for deep brain stimulation electrode implantation.

Authors:  Hjálmar Bjartmarz; Stig Rehncrona
Journal:  Stereotact Funct Neurosurg       Date:  2007-05-25       Impact factor: 1.875

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  16 in total

1.  Validation of a hybrid Doppler ultrasound vessel-based registration algorithm for neurosurgery.

Authors:  Sean Jy-Shyang Chen; Ingerid Reinertsen; Pierrick Coupé; Charles X B Yan; Laurence Mercier; D Rolando Del Maestro; D Louis Collins
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-03-24       Impact factor: 2.924

2.  A 3D point matching algorithm for affine registration.

Authors:  Jianqin Qu; Leiguang Gong; Lin Yang
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-07-16       Impact factor: 2.924

3.  Minimization of target registration error for vertebra in image-guided spine surgery.

Authors:  Marzieh Ershad; Alireza Ahmadian; Nassim Dadashi Serej; Hooshang Saberi; Keyvan Amini Khoiy
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-07-03       Impact factor: 2.924

4.  An Accurate Recognition of Infrared Retro-Reflective Markers in Surgical Navigation.

Authors:  Han Wu; Qinyong Lin; Rongqian Yang; Yuan Zhou; Lingxiang Zheng; Yueshan Huang; Zhigang Wang; Yonghua Lao; Jinhua Huang
Journal:  J Med Syst       Date:  2019-04-24       Impact factor: 4.460

5.  Experimental validation of predicted application accuracies for computer-assisted (CAS) intraoperative navigation with paired-point registration.

Authors:  Martina Perwög; Zoltan Bardosi; Wolfgang Freysinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-08-11       Impact factor: 2.924

Review 6.  Multimodal image registration for preoperative planning and image-guided neurosurgical procedures.

Authors:  Petter Risholm; Alexandra J Golby; William Wells
Journal:  Neurosurg Clin N Am       Date:  2011-04       Impact factor: 2.509

7.  The role of registration in accurate surgical guidance.

Authors:  J M Fitzpatrick
Journal:  Proc Inst Mech Eng H       Date:  2010       Impact factor: 1.617

8.  Bayesian characterization of uncertainty in intra-subject non-rigid registration.

Authors:  Petter Risholm; Firdaus Janoos; Isaiah Norton; Alex J Golby; William M Wells
Journal:  Med Image Anal       Date:  2013-03-14       Impact factor: 8.545

9.  Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation.

Authors:  Jinyoung Kim; Yuval Duchin; Reuben R Shamir; Remi Patriat; Jerrold Vitek; Noam Harel; Guillermo Sapiro
Journal:  Hum Brain Mapp       Date:  2018-10-31       Impact factor: 5.038

10.  Atlas-based head modeling and spatial normalization for high-density diffuse optical tomography: in vivo validation against fMRI.

Authors:  Silvina L Ferradal; Adam T Eggebrecht; Mahlega Hassanpour; Abraham Z Snyder; Joseph P Culver
Journal:  Neuroimage       Date:  2013-04-08       Impact factor: 6.556

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