In vivo magnetic resonance spectroscopy provides insight into metabolism in the
human body. New acquisition protocols are often proposed to improve the quality
or efficiency of data collection. Processing pipelines must also be developed to use
these data optimally. Current fitting software is either targeted at general
spectroscopy fitting, or for specific protocols. We therefore introduce the
MATLAB-based OXford Spectroscopy Analysis (OXSA) toolbox to allow researchers
to rapidly develop their own customised processing pipelines. The toolbox aims to
simplify development by: being easy to install and use; seamlessly importing
Siemens Digital Imaging and Communications in Medicine (DICOM) standard data;
allowing visualisation of spectroscopy data; offering a robust fitting routine;
flexibly specifying prior knowledge when fitting; and allowing batch processing of
spectra. This article demonstrates how each of these criteria have been fulfilled,
and gives technical details about the implementation in MATLAB. The code is
freely available to download from https://github.com/oxsatoolbox/oxsa.

제 1편 : MATLAB 기본편
1. MATLAB 기본사용편 ···················· 003
1.1 MATLAB 시작하기 ·························· 003
명령창(command Window)에서의 입력 005
도움말(Help)의 이용 ······························· 007
1.2 입력 오류의 수정 ····························· 008
계산의 중지 ·············································· 009
MATLAB 종료하기 ································· 009
1.3 연산과 변수의 할당 ·························· 009
연산자 우선순위 ······································· 011
내장함수 ···················································· 012
1.4 데이터의 표현 ··································· 013
1.5 변수의 처리 ······································· 015
변수 이름 ·················································· 015
clear 명령어 ············································· 016
특수변수와 정수 ······································· 017
whos 명령어 ············································ 017
1.6 벡터와 행렬 ······································· 018
벡터 ··························································· 018
행렬 ·························································· 023
스크린 출력과 억제 ································· 024
1.7 랜덤(Random)수와 복소수 ·············· 025
랜덤 수 ····················································· 025
복소수 ······················································· 027
1.8 기호를 이용한 연산 ·························· 028
기호식에서의 치환 ··································· 029
1.9 코드 파일 ·········································· 030
스크립트 코드 파일 ································· 030
코멘트의 추가 ·········································· 032
함수 코드 파일 ···································· 033
사용자 정의함수 ······································ 036
1.10 간단한 그래프의 생성 ····················· 037
ezplot을 이용한 그래프 ·························· 037
plot을 이용한 그래프 ·························· 039
3차원 그래프 ··········································· 042
1.11 MATLAB과 엑셀(Excel)의 접속 043 엑셀 데이터 불러오기 ····························· 043
데이터 가져오기 옵션 ························· 046
스크립트 생성 옵션 ································· 049
함수 생성 옵션 ········································ 049
생성된 데이터를 엑셀파일로 저장하기 ·· 050

제 2편 : 연구논문
OXSA: An open-source magnetic resonance spectroscopy analysis
toolbox in MATLAB

1. Introduction 51
2. Tool installation and dependencies 52
3. Visualising spectroscopy data 53
4. Fitting algorithm 54
5. Inclusion of additional prior knowledge 57
6. Discussion 57
7. Conclusion 58
8. References 59