超高精度小鼠彩色斷層數(shù)據(jù)集的建立
發(fā)布時間:2018-06-04 08:51
本文選題:解剖學 + 橫斷面。 參考:《中國組織工程研究》2017年20期
【摘要】:背景:小動物成像及影像研究的廣泛應(yīng)用要求實驗者掌握小鼠的斷面解剖,小鼠鼻腔鼻竇等研究不能通過通常的活體解剖手段來獲得其解剖知識。目的:將現(xiàn)有的數(shù)字虛擬人技術(shù)應(yīng)用于小鼠,建立一個超高精度的小鼠連續(xù)斷層彩色數(shù)據(jù)集。方法:將成年雄性Balb/c小鼠處死后褪毛,改良Kawamoto’s方法進行冰凍包埋,用Leica CM3600XP冰凍切片機以5μm的層厚進行無間隔連續(xù)切片,采用2 400萬像素Nikon D750單反相機連續(xù)拍攝斷面圖像,以JPG格式儲存。參照規(guī)則斷面法,使用photoshop7軟件裁剪包埋塊的邊緣,并進一步校正圖像大小、調(diào)整亮度和配準,以TIFF格式保存。將數(shù)據(jù)集導入Amira 6.0,用最小二乘法進一步配準,直接對小鼠進行面重建及體重建以判斷數(shù)據(jù)集的質(zhì)量。結(jié)果與結(jié)論:(1)獲取小鼠無間隔連續(xù)斷面原始圖像6 034張,數(shù)據(jù)量87 GB,經(jīng)過圖像處理和配準,獲得184 G小鼠斷層數(shù)據(jù)集,重建了滿意的小鼠三維模型;(2)基于研究采用的圖像采集系統(tǒng)及處理流程,建立的虛擬小鼠數(shù)據(jù)集具有分辨率高、還原真實性強的特點,將方便實驗小鼠精細解剖的研究,并為相關(guān)教學及實驗研究提供了重要的工具。
[Abstract]:Background: the extensive application of imaging and imaging of small animals requires the experimenters to master the sectional anatomy of mice, and the study of mouse nasal cavity and nasal sinuses cannot obtain its anatomical knowledge by the usual living anatomical methods. Aim: to establish an ultra-high precision continuous tomographic color data set of mice by applying the existing digital virtual human technology to mice. Methods: after the adult male Balb/c mice were killed, the hair of the adult male Balb/c mice was killed, and the modified Kawamoto's method was used to embed the hair. The Leica CM3600XP frozen slicer was used to slice the sections without interval with a thickness of 5 渭 m. The cross-section images were continuously taken with a 24 million pixel Nikon D750 SLR camera. Store in JPG format. Referring to the regular section method, photoshop7 software is used to cut the edge of the embedded block, and further calibrate the image size, adjust the brightness and registration, and save it in TIFF format. The data set was imported into Amira 6.0 and further registered with the least square method. The face reconstruction and body weight of the mice were carried out directly to judge the quality of the data set. Results and conclusion (1) 6 034 unspaced continuous cross-sectional images were obtained, and 87 GB of data were obtained. After image processing and registration, 184G mouse fault data sets were obtained. Based on the image acquisition system and processing flow, the virtual mouse data set has the characteristics of high resolution and strong reduction authenticity, which will facilitate the study of fine anatomy of experimental mice. It also provides important tools for related teaching and experimental research.
【作者單位】: 山西醫(yī)科大學;
【基金】:山西省重點研發(fā)計劃(指南)項目(201603D121039):喉癌切緣的3D重建及病理檢查標準化研究~~
【分類號】:R-332;TP391.41
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