Project/Area Number |
06557080
|
Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
|
Allocation Type | Single-year Grants |
Research Field |
Cerebral neurosurgery
|
Research Institution | Osaka University |
Principal Investigator |
HAYAKAWA Toru Osaka University Medical School, Neurosurgery, Professor, 医学部, 教授 (20135700)
|
Co-Investigator(Kenkyū-buntansha) |
TANEDA Mamoru Kinki University Medical School, Neurosurgery, Professor, 医学部, 教授 (10236713)
TAMURA Shinichi Osaka University Medical School, Functional Imaging, Professor, 医学部, 教授 (30029540)
YOSHIMINE Toshiki Osaka University Medical School, Neurosurgery, Associate Professor, 医学部, 講師 (00201046)
|
Project Period (FY) |
1994 – 1995
|
Project Status |
Completed (Fiscal Year 1995)
|
Budget Amount *help |
¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 1995: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1994: ¥1,500,000 (Direct Cost: ¥1,500,000)
|
Keywords | Computer Assisted Surgery / Image reconstruction / Neurosurgery / Computer / Presurgical rehearsal / Surgical simulation / コンピューター外科 / コンピュータ |
Research Abstract |
The aim of the project is to develop simple reconstruction method for cerebral surface images of the neurosurgical patient from CT or MR images and to make it possible to perform simulation surgery and image guided localization. This will enhance neurosurgical accuracy and safeness greatly. We have developed a simple and practical method to reconstruct cerebral surface anatomical images of patient for better presurgical planning and surgical orientation with an aid of a personal computer. The area representing the cortical surface was selected from the most superficial slice of the T1-weighted magnetic resonance (MR) image. The selected area was then overlaid upon the next superficial slice and the alignment adjusted. By repeating this procedure four to seven times, we obtained a brain surface image, which clearly displayd gyri and sulci. With the same method, image of the vascular components of the cerebral surface was obtained from the T2-weighted images or MR angiograms. The brain surface and the vascular images were then combined to reconstruct a surface anatomical image (SAI). In addition, the outline of the lesion and natural landmarks, such as ventricles, were added if necessary. Compared to conventional surface anatomy scanning (SAS) or three-dimensional image reconstruction procedures, our method has the advantage of displaying, within a reasonable time, the manifest cortical surface from the direction of the planned surgical approach. The SAIs obtained for individual patients proved to be useful in daily neurosurgical operations for presurgical planning and minimizing surgical damage to the eloquent cortex in approaching both surface and subcortical lesions.
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