Characterization of microstructures using diffusion-weighted magnetic resonance imaging for histologic classification of gliomas = 신경교종의 조직학적 등급 판별을 위한 확산강조 자기공명영상에서의 미세구조 특성 분석

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Gliomas are the most common primary brain tumor in adults, causing a high mortality rate. The World Health Organization classified gliomas into four grades according to their histological features. Low-grade gliomas are not benign but grow slowly for several years, and portend better prognosis; however, high-grade gliomas are malignant and grow fast. The grading is currently performed by visual investigation and histopathologic diagnosis, but there are intra-observer variability and sampling error. Several image-based grading methods have been proposed and investigated; the diffusion-weighted magnetic resonance imaging technique is one of the most promising methods for the grading of gliomas. Diffusion-weighted magnetic resonance images can measure the diffusion of water molecules in the tissue, therefore diffusion-weighted magnetic resonance images can represent the microstructure of the tissue. In this thesis, we study various methods for glioma grading on diffusion-weighted magnetic resonance images including reduced field-of-view diffusion-weighted magnetic resonance images.
Advisors
Jeong, Jaeseungresearcher정재승researcher
Description
한국과학기술원 :바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 바이오및뇌공학과, 2018.2,[v, 60 p. :]

Keywords

glioma▼adiffusion-weighted magnetic resonance imaging▼agrade▼aapparent diffusion coefficient▼areduced field-of-view; 신경교종▼a자기공명영상▼a등급▼a현성확산계수▼a축소시야

URI
http://hdl.handle.net/10203/264702
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=734294&flag=dissertation
Appears in Collection
BiS-Theses_Ph.D.(박사논문)
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