|
1）Kin T, Nakatomi H, Shojima M, et al. A new strategic neurosurgical planning tool for brainstem cavernous malformations using interactive computer graphics with multimodal fusion images. J Neurosurg. 2012; 117: 78-88
|
|
|
|
2）Kin T, Shin M, Oyama H, et al. Impact of multiorgan fusion imaging and interactive 3-dimensional visualization for intraventricular neuro-endoscopic surgery. Neurosurgery. 2011; 69(1 Suppl Operative): ons40-8; discussion ons8
|
|
|
|
|
|
3）Oishi M, Fukuda M, Ishida G, et al. Presurgical simulation with advanced 3-dimensional multifusion volumetric imaging in patients with skull base tumors. Neurosurgery. 2011; 68(1 Suppl Operative): 188-99; discussion 99
|
|
|
|
|
|
4）Ferroli P, Tringali G, Acerbi F, et al. Advanced 3-dimensional planning in neurosurgery. Neurosurgery. 2013; 72 Suppl 1: 54-62
|
|
|
|
|
|
5）Sekhar LN, Tariq F, Kim LJ, et al. Commentary: Virtual reality and robotics in neurosurgery. Neurosurgery. 2013; 72 Suppl 1: 1-6
|
|
|
|
|
|
6）Giordano M, Ludemann WO, Stieglitz L, et al. Identification of venous variants in the pineal region with three-dimensional preoperative magnetic resonance imaging navigation in patients harbouring tumors in this area: significance for surgical approach to the lesion. Clin Neurol Neurosurg. 2011; 113: 387-92
|
|
|
|
|
|
7）Mert A, Buehler K, Sutherland GR, et al. Brain tumor surgery with 3-dimensional surface navigation. Neurosurgery. 2012; 71(2 Suppl Operative): ons286-94; discussion ons94-5
|
|
|
|
|
|
8）Oishi M, Fukuda M, Hiraishi T, et al. Interactive virtual simulation using a 3D computer graphics model for microvascular decompression surgery. J Neurosurg. 2012; 117: 555-65
|
|
|
|
|
|
9）Shimizu M, Imai H, Kagoshima K, et al. Detection of compression vessels in trigeminal neuralgia by surface-rendering three-dimensional reconstruction of 1.5- and 3.0-T magnetic res-onance imaging. World Neurosurg. 2013; 80: 378-85
|
|
|
|
|
|
10）Kin T, Oyama H, Kamada K, et al. Prediction of surgical view of neurovascular decompression using interactive computer graphics. Neurosurgery. 2009; 65: 121-8; discussion 8-9
|
|
|
|
|
|
11）Takai K, Kin T, Oyama H, et al. The use of 3D computer graphics in the diagnosis and treatment of spinal vascular malformations. J Neurosurg Spine. 2011; 15: 654-9
|
|
|
|
|
|
12）Conti A, Pontoriero A, Farago G, et al. Integration of three-dimensional rotational angiography in radiosurgical treatment planning of cerebral arteriovenous malformations. Int J Radiat Oncol Biol Phys. 2011; 81: e29-37
|
|
|
|
|
|
13）Zhao Y, Chen X, Wang F, et al. Integration of diffusion tensor-based arcuate fasciculus fibre navigation and intraoperative MRI into glioma surgery. J Clin Neurosci. 2012; 19: 255-61
|
|
|
|
|
|
14）Oishi M, Fukuda M, Ishida G, et al. Prediction of the microsurgical window for skull-base tumors by advanced three-dimensional multi-fusion volumetric imaging. Neurol Med Chir (Tokyo). 2011; 51: 201-7
|
|
|
|
|
15）Wang SS, Zhang SM, Jing JJ. Stereoscopic virtual reality models for planning tumor resection in the sellar region. BMC Neurol. 2012; 12: 146
|
|
|
|
|
|
16）Chan S, Conti F, Salisbury K, et al. Virtual reality simulation in neurosurgery: technologies and evolution. Neurosurgery. 2013; 72 Suppl 1: 154-64
|
|
|
|
|
|
17）Yoshino M, Kin T, Shojima M, et al. A high-resolution method with increased matrix size can characterize small arteries around a giant aneurysm in three dimensions. Br J Neurosurg. 2012; 26: 927-8
|
|
|
|
|
|
18）Nakabayashi H, Shimizu K. Stereoscopic virtual realistic surgical simulation in intracranial aneurysms. Neurol India. 2012; 60: 191-7
|
|
|
|
|
|
19）Yoshino M, Kin T, Nakatomi H, et al. Presurgical planning of feeder resection with realistic three-dimensional virtual operation field in patient with cerebellopontine angle meningioma. Acta Neurochir (Berlin). 2013; 155: 1391-9
|
|
|
|
|
|
20）Tang HL, Sun HP, Gong Y, et al. Preoperative surgical planning for intracranial meningioma resection by virtual reality. Chin Med J. 2012; 125: 2057-61
|
|
|
|
|
|
21）Wang SS, Xue L, Jing JJ, et al. Virtual reality surgical anatomy of the sphenoid sinus and adjacent structures by the transnasal approach. J Craniomaxillofac Surg. 2012; 40: 494-9
|
|
|
|
|
|
22）Chen DQ, Quan J, Guha A, et al. Three-dimensional in vivo modeling of vestibular schwannomas and surrounding cranial nerves with diffusion imaging tractography. Neurosurgery. 2011; 68: 1077-83
|
|
|
|
|
|
23）Oishi M, Fukuda M, Noto Y, et al. Trigeminal neuralgia associated with the specific bridging pattern of transverse pontine vein: diagnostic value of three-dimensional multifusion volumetric imaging. Stereotact Funct Neurosurg. 2011; 89: 226-33
|
|
|
|
|
|
24）Takai K, Kin T, Oyama H, et al. Three-dimensional angioarchitecture of spinal dural arteriovenous fistulas, with special reference to the intradural retrograde venous drainage system. J Neurosurg Spine. 2013; 18: 398-408
|
|
|
|
|
|
25）Bamba Y, Nonaka M, Nakajima S, et al. Three-dimensional reconstructed computed tomography-magnetic resonance fusion image-based preoperative planning for surgical procedures for spinal lipoma or tethered spinal cord after myelomeningocele repair. Neurol Med Chir (Tokyo). 2011; 51: 397-402
|
|
|
|
|
|
26）Müns A, Meixensberger J, Arnold S, et al. Integration of a 3D ultrasound probe into neuronavigation. Acta Neurochir (Wien). 2011; 153: 1529-33
|
|
|
|
|