DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Park, Hyun-Wook | - |
dc.contributor.advisor | 박현욱 | - |
dc.contributor.author | Han, Ye-Ji | - |
dc.contributor.author | 한예지 | - |
dc.date.accessioned | 2011-12-14T01:51:34Z | - |
dc.date.available | 2011-12-14T01:51:34Z | - |
dc.date.issued | 2003 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=180488&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/37656 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학전공, 2003.2, [ vii, 53 p. ] | - |
dc.description.abstract | A near-automatic process of determining 10 necessary points is presented, which is required to register brain MR images based on Talairach reference system. Generally, the 10 points that are needed to be determined for the registration are anterior commissure(AC), posterior commissure (PC), anterior point (AP), posterior point (PP), superior point (SP), inferior point (IP), left point (LP), right point (RP) and two points for the midline. The proposed method automatically determines all the necessary points for registration except IP in a more stable manner than the manual selections. Intensity information is used for the midline determination which is a necessary step for the midsagittal plane extraction. To find AC and PC in the midsagittal plane image, 2-level shape matching of the corpus callosum followed by AC and PC shape matching is performed in the edge-enhanced midsagittal plane image. Remaining points are found by fitting the intensity curve of the cutview with the gaussian model. After finding the necessary points, the brain MR images can be successfully registered. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Talairach reference system | - |
dc.subject | registration | - |
dc.subject | Brain MR Image | - |
dc.subject | shape matching | - |
dc.subject | 원형 정합 | - |
dc.subject | Talairach 좌표계 | - |
dc.subject | 정합 | - |
dc.subject | 뇌자기공명영상 | - |
dc.title | Near-automatic brain MR image registration based on talairach reference system | - |
dc.title.alternative | Talairach 좌표계에 기반한 뇌자기공명영상의 자동 정합법에 관한 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 180488/325007 | - |
dc.description.department | 한국과학기술원 : 전기및전자공학전공, | - |
dc.identifier.uid | 020013635 | - |
dc.contributor.localauthor | Park, Hyun-Wook | - |
dc.contributor.localauthor | 박현욱 | - |
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