Literature DB >> 20830539

Skin shift and its effect on navigation accuracy in image-guided neurosurgery.

Takashi Mitsui1, Masazumi Fujii, Masatoshi Tsuzaka, Yuichiro Hayashi, Yoshinori Asahina, Toshihiko Wakabayashi.   

Abstract

Neuronavigation systems have been developed for image-guided neurosurgery to aid in the accurate resection of malignant brain tumors. Therefore, the accuracy of the neuronavigation is important. However, many factors can reduce the navigation accuracy during surgery. Before craniotomy, the patient's head is secured to a head frame with head pins; this fixation may cause displacement of fiducial markers and reduce the accuracy. We term this phenomenon skin shift. In this study, the extent of skin shift and its effect on navigation accuracy were determined by use of both preoperative magnetic resonance imaging (MRI) scans acquired before fixation and intraoperative MRI scans acquired after fixation. We measured the displacement of the fiducial markers by using fusion images obtained by integrating preoperative and intraoperative MRI scans. We also evaluated the navigation accuracy of registration based on preoperative and on intraoperative MRI. The mean (± SD) extent of skin shift was 5.34 (± 2.65) mm. The navigation accuracy of registration based on preoperative MRI was 4.06 (± 2.25) mm, and that of registration based on intraoperative MRI was 2.51 (± 1.32) mm. No significant correlation was observed between the extent of skin shift and the distance between the head pins and fiducial markers (p > 0.05). The navigation accuracy of registration based on intraoperative MRI was significantly higher than that of registration based on preoperative MRI (p < 0.001). The results indicated that skin shift was caused by the fixation, and that this shift reduced the navigation accuracy. Intraoperative MRI can correct the effect of skin shift.

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Year:  2010        PMID: 20830539     DOI: 10.1007/s12194-010-0103-0

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  8 in total

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Review 2.  Intra-operative magnetic resonance imaging in neurosurgery.

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Review 3.  Utilization of low-field MR scanners.

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

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5.  Quantification of true in vivo (application) accuracy in cranial image-guided surgery: influence of mode of patient registration.

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6.  Evaluation of errors influencing accuracy in image-guided neurosurgery.

Authors:  Yohei Watanabe; Masazumi Fujii; Yuichiro Hayashi; Miyuki Kimura; Yasushi Murai; Michiko Hata; Akihiro Sugiura; Masatoshi Tsuzaka; Toshihiko Wakabayashi
Journal:  Radiol Phys Technol       Date:  2009-03-18

7.  Technical and instrumental improvements in the surgical treatment of acoustic neurinomas.

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  8 in total
  7 in total

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2.  Brain-shift compensation by non-rigid registration of intra-operative ultrasound images with preoperative MR images based on residual complexity.

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3.  A multi-subject accuracy study on granular jamming for non-invasive attachment of fiducial markers to patients.

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5.  Use of Neuronavigation and Augmented Reality in Transsphenoidal Pituitary Adenoma Surgery.

Authors:  Miriam H A Bopp; Benjamin Saß; Mirza Pojskić; Felix Corr; Dustin Grimm; André Kemmling; Christopher Nimsky
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6.  Neuronavigation: principles, clinical applications and potential pitfalls.

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Journal:  Iran J Psychiatry       Date:  2012

7.  Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift.

Authors:  Parastoo Farnia; Bahador Makkiabadi; Maysam Alimohamadi; Ebrahim Najafzadeh; Maryam Basij; Yan Yan; Mohammad Mehrmohammadi; Alireza Ahmadian
Journal:  Sensors (Basel)       Date:  2022-03-21       Impact factor: 3.576

  7 in total

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