2005 Fiscal Year Final Research Report Summary
Non invasive temperature measurement for brain tumor
| Project/Area Number |
14370447
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Cerebral neurosurgery
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| Research Institution | Tokai University |
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Principal Investigator |
MATSUMAE Mitsunori Tokai Univ., Neurosurgery, Professor, 医学部, 教授 (20209604)
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| Co-Investigator(Kenkyū-buntansha) |
KURODA Kagayaki Tokai Univ, Associate professor, 電子情報学部1, 助教授 (70205243)
TSUGU Atsushi Tokai Univ., Neurosurgery, Assistant Professor, 医学部, 講師 (30266415)
KIKUCHI Hiroshi Daiichi Pharm.Co., Investigator, 創剤代謝研究所(研究職), 主任研究員
ATSUMI Hideki Tokai Univ., Neurosurgery, Assistant Researcher, 医学部, 助手 (30307269)
ISHIZAKA Hideo Tokai Univ., Neurosurgery, Assistant Researcher, 医学部, 助手 (00328113)
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| Project Period (FY) |
2002 – 2005
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| Keywords | MRI / Temperature |
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| Research Abstract |
We have developed target liposome for malignant brain tumor. This liposome contained MR enhanced materials which identify the distribution area of chemotherapy drugs under the MR imaging.
A noninvasive method to evaluate intracranial pressure (ICP) and brain tissue compliance based on magnetic resonance (MR) imaging was proposed.
Brain circulations, blood and cerebrospinal fluid (CSF) flows, was devised. The input for the inverse analysis was the CSF flow rate obtained by phase contrast MR velocity imaging, whereas the estimation function was the square error of the estimated arterial blood flow rate. Experiments using a brain-circulation-mimicking phantom followed by numerical simulations confirmed that the proposed technique yielded relative indices of the compliance and pressure. Studies on 25 healthy (22-63 years old) and 9 patient (27-69 years old) volunteers revealed that the healthy and patient groups distributed in significantly different regions in a two-dimensional space formed space formed by the indices of tissue compliance and intracranial pressure, demonstrating the feasibility and viability of the proposed technique for classifying the statuses of the intracranial biomechanical properties of the subjects.
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