Classification and analysis of the errors in neuronavigation

Neurosurgery

Volumn 68, Issue 4, 2011, Pages 1131-1143

  Wang, Man Ning ^a   Song, Zhi Jian ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

Application accuracy; Image guided neurosurgery; Neuronavigation

Indexed keywords

ACCURACY; ANALYTICAL ERROR; ANATOMICAL VARIATION; BLOOD OXYGENATION; BOLD SIGNAL; BRAIN MALFORMATION; DIFFUSION TENSOR IMAGING; ECHO PLANAR IMAGING; FACIAL EXPRESSION; FRACTIONAL ANISOTROPY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; NEURONAVIGATION; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; REVIEW; SURGICAL EQUIPMENT; WORKFLOW;

HUMANS; MEDICAL ERRORS; NEURONAVIGATION; SURGERY, COMPUTER-ASSISTED;

EID: 79952900890     PISSN: 0148396X     EISSN: None     Source Type: Journal    
DOI: 10.1227/NEU.0b013e318209cc45     Document Type: Review

References (111)

1. Steinmeier R, Rachinger J, Kaus M, Ganslandt O, HukW, Fahlbusch R. Factors influencing the application accuracy of neuronavigation systems. Stereotact Funct Neurosurg. 2000;75(4):188-202.
2. Foroglou N, Zamani A, Black P. Intra-operative MRI (iop-MR) for brain tumour surgery. Br J Neurosurg. 2009;23(1):14-22.
3. Hill DLG, Maurer CR, Maciunas RJ, Barwise JA, Fitzpatrick JM, Wang MY. Measurement of intraoperative brain surface deformation under a craniotomy. Neurosurgery. 1998;43(3):514-526.
4. Roberts DW,Hartov A,Kennedy FE,Miga MI,Paulsen KD, Intraoperative brain shift and deformation: A quantitative analysis of cortical displacement in 28 cases. Neurosurgery,1998. 3(4) 749-758
5. Nimsky C, Ganslandt O, Cerny S, Hastreiter P, Greiner G, Fahlbusch R. Quantification of, visualization of, and compensation for brain shift using intraoperative magnetic resonance imaging. Neurosurgery. 2000;47(5):1070-1079.
6. Khan MF, Mewes K, Gross RE, Skrinjar O. Assessment of brain shift related to deep brain stimulation surgery. Stereotact Funct Neurosurg. 2008;86(1):44-53.
7. ReingesMHT,NguyenHH, Krings T,Hutter BO, Rohde V, Gilsbach JM. Course of brain shift during microsurgical resection of supratentorial cerebral lesions: limits of conventional neuronavigation. Acta Neurochir. 2004;146(4):369-377.
8. Dorward NL, Alberti O, Velani B, et al. Postimaging brain distortion: magnitude, correlates, and impact on neuronavigation. J. Neurosurg. 1998;88(4): 656-662.
9. Hartkens T, Hill DLG, Castellano-Smith AD, et al. Measurement and analysis of brain deformation during neurosurgery. IEEE Trans Med Imaging. 2003; 22(1):82-92.
10. Nimsky C, Ganslandt O, Hastreiter P, Fahlbusch R. Intraoperative compensation for brain shift. Surg. Neurol. 2001;56(6):357-364.
11. Roberts DW, Lunn K, Sun H, et al. Intra-operative image updating. Stereotact Funct Neurosurg. 2001;76(3-4):148-150.
12. Hall WA, Truwit CL. Intraoperative MR-guided neurosurgery. J Magn Reson Imaging. 2008;27(2):368-375.
13. Comeau RM, Sadikot AF, Fenster A, Peters TM. Intraoperative ultrasound for guidance and tissue shift correction in image-guided neurosurgery. Med Phys 2000;27(4):787-800.
14. Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage. 2007;35(2): 609-624.
15. Letteboer MMJ, Willems PWA, Viergever MA, Niessen WJ. Brain shift estimation in image-guided neurosurgery using 3-D ultrasound. IEEE Trans Biomed Eng. 2005;52(2):268-276.
16. Miga MI, Sinha TK, Cash DM, Galloway RL, Weil RJ. Cortical surface registration for image-guided neurosurgery using laser-range scanning. IEEE Trans Med Imaging. 2003;22(8):973-985.
17. Lunn KE, Paulsen KD, Liu FH, Kennedy FE, Hartov A, Roberts DW. Dataguided brain deformation modeling: Evaluation of a 3-D adjoint inversion method in porcine studies. IEEE Trans Biomed Eng. 2006;53(10):1893-1900.
18. Skrinjar O, Nabavi A, Duncan J. Model-driven brain shift compensation. Med Image Anal. 2002;6(4):361-373.
19. Wittek A, Miller K, Kikinis R, Warfield SK. Patient-specific model of brain deformation: Application to medical image registration. J Biomech. 2007; 40(4):919-929.
20. Miga MI, Paulsen KD, Lemery JM, et al. Model-updated image guidance: Initial clinical experiences with gravity-induced brain deformation. IEEE Trans Med Imaging. 1999;18(10):866-874.
21. Liu YX, Song ZJ. A robust brain deformation framework based on a finite element model in IGNS. Int JMed Robot Comput Assist Surg. 2008;4(2):146-157.
22. Reinertsen I, Lindseth F, Unsgaard G, Collins DL. Clinical validation of vessel- based registration for correction of brain-shift. Med Image Anal. 2007;11(6): 673-684.
23. Cao A, Thompson RC, Dumpuri P, et al. Laser range scanning for image-guided neurosurgery: investigation of image-to-physical space registrations. Med Phys. 2008;35(4):1593-1605.
24. Dumpuri P, Miga MI. Model-updated image guidance: a statistical approach to gravity-induced brain shift. In: Medical Image Computing and Computer-assisted Intervention. Montreal, Canada: MICCAI; 2003:15-18.
25. Davatzikos C, Shen D, Mohamed A, Kyriacou SK. A framework for predictive modeling of anatomical deformations. IEEE Trans Med Imaging. 2001;20(8): 836-843.
26. Bakay RAE. Intraoperative brain shift and deformation: a quantitative analysis of cortical displacement in 28 cases - Comment. Neurosurgery. 1998;43(4):759-760.
27. Hennig J, Speck O, Koch MA, Weiller C. Functional magnetic resonance imaging: a review of methodological aspects and clinical applications. J Magn Reson Imaging. 2003;18(1):1-15.
28. Jezzard P, Clare S. Sources of distortion in functional MRI data. Hum Brain Mapp. 1999;8(2-3):80-85.
29. Hutton C, Bork A, Josephs O, Deichmann R, Ashburner J, Turner R. Image distortion correction in fMRI: a quantitative evaluation. Neuroimage. 2002;16(1): 217-240.
30. Cusack R, Brett M, Osswald K. An evaluation of the use of magnetic field maps to undistort echo-planar images. Neuroimage. 2003;18(1):127-142.
31. Zeng HR, Constable RT. Image distortion correction in EPI: comparison of field mapping with point spread function mapping. Magn Reson Med. 2002;48(1): 137-146.
32. Li Y, Xu N, Fitzpatrick JM, Dawant BM. Geometric distortion correction for echo planar images using nonrigid registration with spatially varying scale. Magn Reson Imaging. 2008;26(10):1388-1397.
33. Dragonu I, de Senneville BD, Quesson B, Moonen C, Ries M. Real-time geometric distortion correction for interventional imaging with echo-planar imaging (EPI). Magn Reson Med. 2009;61(4):994-1000.
34. Andersson JLR, Skare S. A model-based method for retrospective correction of geometric distortions in diffusion-weighted EPI. Neuroimage. 2002;16(1): 177-199.
35. Hunsche S, Sauner D, Treuer H, et al. Optimized distortion correction of epibased statistical parametrical maps for stereotactic neurosurgery. Magn Reson Imaging. 2004;22(2):163-170.
36. Pallud J, Varlet P, Devaux B, et al. Diffuse low-grade oligodendrogliomas extend beyond MRI-defined abnormalities. Neurology. 2010;74(21):1724-1731.
37. Pirotte B, Goldman S, Dewitte O, et al. Integrated positron emission tomography and magnetic resonance imaging-guided resection of brain tumors: a report of 103 consecutive procedures. J Neurosurg. 2006;104(2):238-253.
38. Stadlbauer A, Moser E, Gruber S, et al. Improved delineation of brain tumors: an automated method for segmentation based on pathologic changes of H-1-MRSI metabolites in gliomas. Neuroimage. 2004;23(2):454-461.
39. Chernov MF, Muragaki Y, Ochiai T, et al. Spectroscopy and navigation. J Neurosurg. 2005;102(2):402-403.
40. Johnson RD, Stacey RJ. The impact of new imaging technologies in neurosurgery. Surg J R Coll Surg Edinb Irel. 2008;6(6):344-349.
41. Tanaka Y, Nariai T, Momose T, et al. Glioma surgery using a multimodal navigation system with integrated metabolic images. J Neurosurg. 2009;100(1): 163-172.
42. Krishnan R, Raabe A, Hattingen E, et al. Functional magnetic resonance imaging integrated neuronavigation: Correlation between lesion-to-motor cortex distance and outcome. Neurosurgery. 2004;55(4):904-914.
43. Pirotte B, Voordecker P, Neugroschl C, et al. Combination of functional magnetic resonance imaging-guided neuronavigation and intraoperative cortical brain mapping improves targeting of motor cortex stimulation in neuropathic pain. Neurosurgery. 2008;62(6):941-953.
44. Holodny AI, Schulder M, Liu WC, Wolko J, Maldjian JA, Kalnin AJ. The effect of brain tumors on BOLD functional MR imaging activation in the adjacent motor cortex: Implications for image-guided neurosurgery. Am J Neuroradiol. 2000;21(8):1415-1422.
45. Schulder M, Maldjian JA, Liu WC, et al. Functional image-guided surgery of intracranial tumors located in or near the sensorimotor cortex. J Neurosurg. 1998;89(3):412-418.
46. Krings T, Reul J, Spetzger U, et al. Functional magnetic resonance mapping of sensory motor cortex for image-guided neurosurgical intervention. Acta Neurochir. 1998;140(3):215-222.
47. Wilkinson ID, Romanowski CAJ, Jellinek DA, Morris J, Griffiths PD. Motor functional MRI for pre-operative and intraoperative neurosurgical guidance. Br J Radiol. 2003;76(902):98-103.
48. Schulder M, Maldjian JA, Liu WC, Carmel PW, Mun IK. Functional MRIguided surgery of intracranial tumors. Stereotact Funct Neurosurg. 1997; 68(1-4):98-105.
49. Gumprecht H, Ebel GK, Auer DP, Lumenta CB. Neuronavigation and functional MRI for surgery in patients with lesion in eloquent brain areas. Minim Invasive Neurosurg. 2002;45(3):151-153.
50. Vlieger EJ, Majoie CB, Leenstra S, den Heeten GJ. Functional magnetic resonance imaging for neurosurgical planning in neurooncology. Eur Radiol. 2004;14(7):1143-1153.
51. Hirsch J, Ruge MI, Kim KHS, et al. An integrated functional magnetic resonance imaging procedure for preoperative mapping of cortical areas associated with tactile, motor, language, and visual functions. Neurosurgery. 2000;47(3): 711-721.
52. Fujiwara N, Sakatani K, Katayama Y, et al. Evoked-cerebral blood oxygenation changes in false-negative activations in BOLD contrast functional MRI of patients with brain tumors. Neuroimage. 2004;21(4):1464-1471.
53. Grummich P, Nimsky C, Pauli E, Buchfelder M, Ganslandt O. Combining fMRI and MEG increases the reliability of presurgical language localization: a clinical study on the difference between and congruence of both modalities. Neuroimage. 2006;32(4):1793-1803.
54. Roessler K, Donat M, Lanzenberger R, et al. Evaluation of preoperative high magnetic field motor functional MRI (3 Tesla) in glioma patients by navigated electrocortical stimulation and postoperative outcome. J Neurol Neurosurg Psychiatry. 2005;76(8):1152-1157.
55. Korvenoja A, Kirveskari E, Aronen HJ, et al. Sensorimotor cortex localization: comparison of magnetoencephalography, functional MR imaging, and intraoperative cortical mapping. Radiology. 2006;241(1):213-222.
56. Ozcan M, Baumgartner U, Vucurevic G, Stoeter P, Treede RD. Spatial resolution of fMRI in the human parasylvian cortex: comparison of somatosensory and auditory activation. Neuroimage. 2005;25(3):877-887.
57. Nimsky C, Ganslandt O, Kober H, et al. Integration of functional magnetic resonance imaging supported by magnetoencephalography in functional neuronavigation. Neurosurgery. 1999;44(6):1249-1255.
58. Stapleton SR, Kiriakopoulos E, Mikulis D, et al. Combined utility of functional MRI, cortical mapping, and frameless stereotaxy in the resection of lesions in eloquent areas of brain in children. Pediatr Neurosurg. 1997;26(2):68-82.
59. Norris DG. Principles of magnetic resonance assessment of brain function. J Magn Reson Imaging. 2006;23(6):794-807.
60. Shukla AK, Kumar U. Positron emission tomography: an overview. J Med Phys. 2006;31(1):13-21.
61. Le Bihan D,Mangin JF, Poupon C, et al. Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging. 2001;13(4):534-546.
62. Dickerson BC. Advances in functional magnetic resonance imaging: technology and clinical applications. Neurotherapeutics. 2007;4(3):360-370.
63. Alexander AL, Hasan KM, Lazar M, Tsuruda JS, Parker DL. Analysis of partial volume effects in diffusion-tensor MRI. Magn Reson Med. 2001;45(5):770-780.
64. Papanikolaou N, Karampekios S, Papadaki E, Malamas M, Maris T, Gourtsoyiannis N. Fractional anisotropy and mean diffusivity measurements on normal human brain: comparison between low- and high-resolution diffusion tensor imaging sequences. Eur Radiol. 2006;16(1):187-192.
65. Salmenpera TM, Simister RJ, Bartlett P, et al. High-resolution diffusion tensor imaging of the hippocampus in temporal lobe epilepsy. Epilepsy Res. 2006; 71(2-3):102-106.
66. Oouchi H, Yamada K, Sakai K, et al. Diffusion anisotropy measurement of brain white matter is affected by voxel size: underestimation occurs in areas with crossing fibers. Am J Neuroradiol. 2007;28(6):1102-1106.
67. Toga AW, Thompson PM. The role of image registration in brain mapping. Image Vis Comput. 2001;19(1-2):3-24.
68. West J, Fitzpatrick JM,Wang MY, et al. Retrospective intermodality registration techniques for images of the head: surface-based versus volume-based. IEEE Trans Med Imaging. 1999;18(2):144-150.
69. Zonenshayn M, Rezai AR, Mogilner AY, Beric A, Sterio D, Kelly PJ. Comparison of anatomic and neurophysiological methods for subthalamic nucleus targeting. Neurosurgery. 2000;47(2):282-292.
70. Schlaier J, Schoedel P, Lange M, et al. Reliability of atlas-derived coordinates in deep brain stimulation. Acta Neurochir. 2005;147(11):1175-1180.
71. Guo T, Parrent AG, Peters TM. Surgical targeting accuracy analysis of six methods for subthalamic nucleus deep brain stimulation. Comput Aid Surg. 2007;12(6):325-334.
72. Chakravarty MM, Sadikot AF, Germann J, Bertrand G, Collins DL. Towards a validation of atlas warping techniques. Med Image Anal. 2008;12(6):713-726.
73. Mori S, van Zijl PCM. Fiber tracking: principles and strategies - a technical review. NMR Biomed. 2002;15(7-8):468-480.
74. Saur R, Gharabaghi A, Erb M. Application of diffusion tensor imaging in neurosurgery. Z Med Phys. 2007;17(4):258-265.
75. Ciccarelli O, Catani M, Johansen-Berg H, Clark C, Thompson A. Diffusionbased tractography in neurological disorders: concepts, applications, and future developments. Lancet Neurol. 2008;7(8):715-727.
76. Duffau H. Metabolic and functional brain mapping, connectivity and plasticity applied to the surgery of cerebral tumors. Curr Med Imaging Rev. 2005;1(2): 131-155.
77. Niizuma K, Fujimura M, Kumabe T, Higano S, Tominaga T. Surgical treatment of paraventricular cavernous angioma: fibre tracking for visualizing the corticospinal tract and determining surgical approach. J Clin Neurosci. 2006;13(10): 1028-1032.
78. Tummala RP, Chu RM, Liu HY, Truwit CL, Hall WA. Application of diffusion tensor imaging to magnetic-resonance-guided brain tumor resection. Pediatr Neurosurg. 2003;39(1):39-43.
79. Wu JS, Mao Y, Zhou LF, et al. Clinical evaluation and follow-up outcome of diffusion tensor imaging-based functional neuronavigation: a prospective, controlled study in patients with gliomas involving pyramidal tracts. Neurosurgery. 2007;61(5):935-948.
80. Dellani PR, Glaser M, Wille PR, et al. White matter fiber tracking computation based on diffusion tensor imaging for clinical applications. J Digit Imaging. 2007;20(1):88-97.
81. Kinoshita M, Yamada K, Hashimoto N, et al. Fiber-tracking does not accurately estimate size of fiber bundle in pathological condition: initial neurosurgical experience using neuronavigation and subcortical white matter stimulation. Neuroimage. 2005;25(2):424-429.
82. Eggers G, Muhling J, Marmulla R. Image-to-patient registration techniques in head surgery. Int J Oral Maxillofac Surg. 2006;35(12):1081-1095.
83. Maurer CR, Fitzpatrick JM, Wang MY, Galloway RL, Maciunas RJ, Allen GS. Registration of head volume images using implantable fiducial markers. IEEE Trans Med Imaging. 1997;16(4):447-462.
84. Peters TM. Image-guidance for surgical procedures. Phys Med Biol. 2006;51(14):R505-R540.
85. Barszcz S, Roszkowski M, Daszkiewicz P, Jurkiewicz E, Maryniak A. Accuracy of intraoperative registration during electromagnetic neuronavigation in intracranial procedures performed in children. Neurol Neurochir Pol. 2007;41(2):122-127.
86. Rosenow JM, Sootsman WK. Application accuracy of an electromagnetic fieldbased image-guided navigation system. Stereotact Funct Neurosurg. 2007; 85(2-3):75-81.
87. Kuehn B, Mularski S, Schoenherr S, et al. Sensor-based neuronavigation: evaluation of a large continuous patient population. Clin Neurol Neurosurg. 2008;110(10):1012-1019.
88. Wiles AD, Thompson DG, Frantz DD. Accuracy assessment and interpretation for optical tracking systems. In: Medical Imaging 2004: Visualization, Image- Guided Procedures, and Display. SPIE: San Diego, CA: 2004:17-19.
89. Krishnan R, Raabe A, Seifert V. Accuracy and practicability of laser surface scanning for registration in image guided neurosurgery. In: Scientific Workshop on Medical Robotics, Navigation and Visualization. World Scientific Publishing: Remagen, Germany; 2004:11-12.
90. Pfisterer WK, Papadopoulos S, Drumm DA, Smith K, Preul MC. Fiducial versus nonfiducial neuronavigation registration assessment and considerations of accuracy. Neurosurgery. 2008;63(3):201-207.
91. Marmulla R, Muhling J, Wirtz CR, Hassfeld S. High-resolution laser surface scanning for patient registration in cranial computer-assisted surge. Minim Invasive Neurosurg. 2004;47(2):72-78.
92. Raabe A, Krishnan R, Wolff R, Hermann E, Zimmermann M, Seifert V. Laser surface scanning for patient registration in intracranial image-guided surgery. Neurosurgery. 2002;50(4):797-801.
93. Woerdeman PA, Willems PWA, Noordmans HJ, Tulleken CAF, Van der Sprenkel JWB. Application accuracy in frameless image-guided neurosurgery: a comparison study of three patient-to-image registration methods. J Neurosurg. 2007;106(6):1012-1016.
94. Hoffmann J, Westendorff C, Leitner C, Bartz D, Reinert S. Validation of 3D-laser surface registration for image-guided cranio-maxillofacial surgery. J Cranio-MaxilloFac Surg. 2005;33(1):13-18.
95. Schlaier J, Warnat J, Brawanski A. Registration accuracy and practicability of laser-directed surface matching. Comput Aid Surg. 2002;7(5):284-290.
96. Marmulla R, Luth T, Muhling J, Hassfeld S. Automated laser registration in image-guided surgery: evaluation of the correlation between laser scan resolution and navigation accuracy. Int J OralMaxillofac Surg. 2004;33(7):642-648.
97. Ma B, Ellis RE. Spatial-stiffness analysis of surface-based registration. In: Barillot C, Haynor DR, Hellier P, eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004. Saint-Malo, France: Springer; 2004:623-630.
98. Ma B, Ellis RE. Unified point selection and surface-based registration using a particle filter. In: Duncan JS, Gerig G, eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005. Palm Springs, CA: Springer; 2005.
99. Ma B. A Unified Approach to Surface-Based Registration for Image-Guided Surgery [PhD thesis]. Kingston, Ontario, Canada: School of Computing, Queen's University; 2005.
100. Woerdeman PA, Willems PWA, Noordmans HJ, van der Sprenkel JWB. The effect of repetitive manual fiducial localization on target localization in image space. Neurosurgery. 2007;60(2):100-103.
101. Fitzpatrick JM. Fiducial registration error and target registration error are uncorrelated. Paper presented at: Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. Lake Buena Vista, FL: 2009.
102. Balachandran R, Fitzpatrick JM. The distribution of registration error of a fiducial marker in rigid-body point-based registration. Paper presented at: MedicalImaging 2008: Visualization, Image-Guided Procedures, and Modeling. San Diego, CA: 2008.
103. West JB, Fitzpatrick JM, Toms SA, Maurer CR, Maciunas RJ. Fiducial point placement and the accuracy of point-based, rigid body registration. Neurosurgery. 2001;48(4):810-816.
104. Wang MN, Song ZJ. Improving target registration accuracy in image-guided neurosurgery by optimizing the distribution of fiducial points. Int J Med Robot Comput Assist Surg. 2009;5(1):26-31.
105. Fitzpatrick JM, West JB, Maurer CR. Predicting error in rigid-body point-based registration. IEEE Trans Med Imaging. 1998;17(5):694-702.
106. Wiles AD, Likholyot A, Frantz DD, Peters TM. A statistical model for pointbased target registration error with anisotropic fiducial localizer error. IEEE Trans Med Imaging. 2008;27(3):378-390.
107. Moghari MH, Abolmaesumi P. Distribution of target registration error for anisotropic and inhomogeneous fiducial localization error. IEEE Trans Med Imaging. 2009;28(6):799-813.
108. Wiles AD, Peters TM. Real-time estimation of FLE statistics for 3-D tracking with point-based registration. IEEE Trans Med Imaging. 2009;28(9):1384-1398.
109. Atuegwu NC, Galloway RL. Sensitivity analysis of fiducial placement on transorbital target registration error. Int J Comput Assist Radiol Surg. 2008;2(6):397-404.
110. Wang MN, Song ZJ. Distribution templates of the fiducial points in imageguided neurosurgery. Neurosurgery. 2010;66(3):143-150.
111. Marmulla R, Muehling J, Lueth T, Hassfeld S. Physiological shift of facial skin and its influence on the change in precision of computer-assisted surgery. Br J Oral Maxillofac Surg. 2006;44(4):273-278