Literature DB >> 21336214

Impact of multiorgan fusion imaging and interactive 3-dimensional visualization for intraventricular neuroendoscopic surgery.

Taichi Kin1, Masahiro Shin, Hiroshi Oyama, Kyousuke Kamada, Akira Kunimatsu, Toshimitsu Momose, Nobuhito Saito.   

Abstract

BACKGROUND: Imaging technologies have evolved to meet the demand for improved presurgical simulations, particularly with the introduction of endoscopic surgery in the neurosurgical field.
OBJECTIVE: To evaluate the effectiveness of a 3-dimensional interactive visualization method with a computer graphics model, which was created using hybrid rendering and multimodal fusion methods for neuroendoscopic surgery, and to assess whether the 2-dimensional interactive visualization method could effectively represent the microsurgical anatomical information necessary for endoscopic surgery compared with conventional 3-dimensional computer graphics models.
METHODS: Ten patients scheduled for neuroendoscopic surgery for intraventricular lesions were included in the study. For the 3-dimensional interactive visualization method, a hybrid model of volume and surface rendering was created from magnetic resonance images combined with computed tomography and positron emission tomography. Preoperative radiographic images were fused with the normalized mutual information method. Visibility of anatomic structures was compared between the multifusion models and nonfusion models created from only heavy-T2-weighted images that rely solely on the surface rendering method.
RESULTS: The average visibility score of the multifusion models was 97.5% (range, 95.6% to 100%), which was significantly higher than that for nonfusion models (35.9% to 64.1%; P = .002). The multifusion model represents an improved visualization method for preoperative virtual simulation for neuroendoscopic intraventricular surgery.
CONCLUSION: Our 3-dimensional imaging method is superior to conventional methods and will greatly improve the safety and effectiveness of neuroendoscopic surgical procedures for complex intraventricular lesions.

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Year:  2011        PMID: 21336214     DOI: 10.1227/NEU.0b013e318211019a

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  5 in total

Review 1.  The role of simulation in neurosurgery.

Authors:  Roberta Rehder; Muhammad Abd-El-Barr; Kristopher Hooten; Peter Weinstock; Joseph R Madsen; Alan R Cohen
Journal:  Childs Nerv Syst       Date:  2015-10-05       Impact factor: 1.475

2.  Optimal setting of image bounding box can improve registration accuracy of diffusion tensor tractography.

Authors:  Masanori Yoshino; Taichi Kin; Toki Saito; Daichi Nakagawa; Hirofumi Nakatomi; Akira Kunimatsu; Hiroshi Oyama; Nobuhito Saito
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-08-20       Impact factor: 2.924

3.  Neurosurgical simulation by interactive computer graphics on iPad.

Authors:  Keisuke Maruyama; Taichi Kin; Toki Saito; Shinya Suematsu; Miho Gomyo; Akio Noguchi; Motoo Nagane; Yoshiaki Shiokawa
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-03-21       Impact factor: 2.924

Review 4.  Neurosurgical Virtual Reality Simulation for Brain Tumor Using High-definition Computer Graphics: A Review of the Literature.

Authors:  Taichi Kin; Hirofumi Nakatomi; Naoyuki Shono; Seiji Nomura; Toki Saito; Hiroshi Oyama; Nobuhito Saito
Journal:  Neurol Med Chir (Tokyo)       Date:  2017-06-22       Impact factor: 1.742

5.  Development of Innovative Neurosurgical Operation Support Method Using Mixed-Reality Computer Graphics.

Authors:  Tsukasa Koike; Taichi Kin; Shota Tanaka; Yasuhiro Takeda; Hiroki Uchikawa; Taketo Shiode; Toki Saito; Hirokazu Takami; Shunsaku Takayanagi; Akitake Mukasa; Hiroshi Oyama; Nobuhito Saito
Journal:  World Neurosurg X       Date:  2021-03-13
  5 in total

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