개선된 뇌하수체 선종 진단을 위한 자기공명영상 노이즈 제거 기법

• 영문명: A Noise Reduction Technique for Enhancing Pituitary Adenoma Diagnostic on Magnetic Resonance Image
• 발행기관: 대한방사선과학회(구 대한방사선기술학회)
• 저자명: 정영진(Jung, Young-Jin)
• 간행물 정보: 『방사선기술과학』방사선기술과학 제42권 제4호, 285~290쪽, 전체 6쪽
• 주제분류: 의약학 > 방사선과학
• 파일형태: PDF
• 발행일자: 2019.08.30

영문 초록

Magnetic resonance imaging is a technique specialized in soft tissue imaging with high contrast resolution without in vivo ionization and has been widely used in various clinical settings. In particular, the recent increase in social stress factors has been used in the diagnosis of pituitary adenoma, the incidence increases rapidly. Recently, due to the development of magnetic resonance imaging, it is possible to diagnose micro pituitary adenoma, but despite the use of contrast medium, there has been a difficulty in diagnosing the pituitary adenoma due to its small size and noise. In order to solve this problem, a proposed method of separating signal components image and noise components image from a measured image is applied, and the improvement of diagnostic efficiency is attempted by removing noise. As a result, it was confirmed that the image quality was improved as a whole by applying SNR for 30 subjects data. It is expected that this study will be useful as a pre-processing method for improving the image quality and developing diagnostic indicators of pituitary adenoma.

목차

Abstract

Ⅰ. 서론

Ⅱ. 대상 및 방법

Ⅲ. 결과

Ⅳ. 고찰

Ⅴ. 결론

감사의 글

REFERENCES

키워드

뇌하수체 선종 신호 대 잡음비 시간활동곡선 자기공명영상 Pituitary Adenoma SNR TAC MRI DIA-TOOL