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DOI: 10.3791/67904-v
Anthony J. Yosick1,2, Bei Liu2,3, Victor Z. Zhang1,2, Ming Yan1,2, Hani A. Awad1,2,4
1Department of Biomedical Engineering,University of Rochester, 2Center for Musculoskeletal Research, Department of Orthopaedics,University of Rochester Medical Center, 3Department of Translational Biomedical Science,University of Rochester Medical Center, 4Department of Orthopaedics,University of Rochester Medical Center
Please note that some of the translations on this page are AI generated. Click here for the English version.
This study presents a method for analyzing user-defined regions of interest (ROIs) in a longitudinal in vivo rat radial defect model. The method facilitates comparative analysis between different scaffolds, addressing limitations posed by variations in microcomputed tomography (µCT) scan parameters.
종방향 in vivo rat radial defect model에서 사용자 정의 관심 영역(ROI)을 분석하는 방법을 제시합니다. 이 방법을 사용하면 이전에는 μCT(microcomputed tomography) 스캔 시야, 표본 방향 및 골격의 기준선 존재 여부의 변화에 의해 제한되었던 서로 다른 골격 간의 비교 분석을 수행할 수 있습니다.
우리는 중요한 크기의 결함에서 뼈 재생을 향상시키고 기존 스캐폴드에 비해 치유율을 향상시키는 것을 의미하는 나노입자 스캐폴드를 개발했습니다.
현재 방법은 종종 전체 뼈에 걸쳐 뼈 부피 변화를 추적하므로 정밀도가 부족하고 종단 모델에서 국소적인 관심 영역을 일관되게 식별합니다. 우리의 프로토콜은 고체 모델에서 일관된 국부적 관심 영역 추적을 가능하게 하여 정밀도 및 종단 분석을 개선하고 전체 골량 평가와 비교합니다.
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