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다 기관의 자기공명영상장치에서 측정된 뇌 조직 체적의 재현성 분석

Reproducibility Analysis of Brain Volumetry Measured from Inter MR Scanner of Multi-Institute

김영주|김영훈|이영민|문치웅|강민재|정원범|손두범|은충기
대한자기공명의과학회 (Korean Society Of Magnetic Resonance In Medicine)|2012.12|Investigative Magnetic Resonance Imaging|제16권 제3호|pp. 243-252

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참고문헌

키워드

Brain volumetryMulti-center studyInter MR scanner variationMagnetic resonance image Automatic segmentation
주제분류방사선과학

초록

목적 : 뇌 자기공명영상 기반의 다 기관 연구 구축을 위해 장치 차이에 따른 동일인의 자기공명영상에서 측정한 뇌 조직의 체적 차이를 확인함으로써 체적 변화에 따른 뇌 질환의 임상적 진단에 대한 유의성 평가 자료를 마련하고자 하였다. 대상 및 방법 : 정상 남녀 10명에 대해 시스템 사양이 같은 장치 2대를 포함한 전체 4대의 자기공명장치에서 3D T1 강조 영상을 획득하여, 자동화 분할 S/W를 통해 회백질 및 하부 구조를 분할하였으며, 급내상관계수와 변이계수를 통해 체적의 일치성 및 차이를 확인하고, 통계적 유효성을 확인하기 위한 시스템간 체적 차 오프셋을 측정하였다. 결과 : 모든 영역에 대해 MRI 장치간 평균 0.837의 체적 일치성과 평균 4.310%의 체적 변화 범위가 측정되었고, 같은MRI 장치 간 전체 영역에서 평균 3.611%의 체적 차이가 발생하였으며, 평균 7.079%의 오프셋이 요구되었다. 또한 시스템 사양 및 영상 획득 인자가 다른 MRI 장치 간 전체 영역에 대해 약 5.785%의 체적 차이가 발생하였으며, 이에 대한 오프셋은 약 11.340%로 확인되었다. 결론 : 다 기관 뇌 연구의 기반을 구축하기 위해서는 MRI 장치 간에 발생되는 체적 측정 결과의 변동을 최소화하는 하드웨어와 소프트웨어의 최적화가 필요하며, 데이터 관리 및 고속 영상처리 방법 또한 필요한 것으로 판단된다.

Abstract

Purpose : The aim of this study was to evaluate the variations of brain volumetry between the different MR scanners or the different institutes. Materials and Methods: Ten normal subjects were scanned at four different MR scanners, two of them were the same models, to measure inter-MR scanner variations using intraclass correlation coefficient (ICC), coefficient of variation (CV) and percent volume difference (PVD) and to calculate minimal thresholds to detect the significant volumetric changes in gray matter and subcortical regions. Results: Averaged statistical reliability (ICC = 0.837) and volumetric variation (CV = 4.310%) in all segmented regions were observed on overall MR scanners. Comparing the segmented volumes with PVD between two MR scanners, volumetric differences on same models were the lowest (PVD = 3.611%) and volume thresholds were calculated with 7.168%. PVD results and thresholds values on systemically different MR scanners were evaluated with 5.785% and 11.340% respectively. Conclusion: Authors conclude that the reliability of brain volumetry is not so high. Calibration studies of MRI system and image processing are essential to reduce the volumetric variability. Additionally, frameworks comprised of database and algorithms with high-speed image processing are also required for the efficient image data management.

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