CAJ | 학술논문

以玉米根系为研究对象，采用核磁共振成像技术原位无损检测玉米根系，研究土壤体积含水率对根系成像效果的影响；依据获取的根系核磁切片图像，借助于计算机图形学技术和可视化工具包 Visualization Toolkit 5.4实现玉米根系模型的重构；对根系模型的几何参数进行测量，验证重构模型的精度.结果表明：土壤体积含水率在5%~20%范围内变化时不会对玉米根系的核磁共振成像质量造成显著影响；模型的几何测量值与根系真实值之间的误差均小于3%，与标准方法测定结果具有很好的一致性.本研究可以用于植物根系的原位无损检测，实现根系几何参数的精确测量，对于认知根系与周围土壤介质的相互作用规律具有十分重要的作用.
이옥미근계위연구대상，채용핵자공진성상기술원위무손검측옥미근계，연구토양체적함수솔대근계성상효과적영향；의거획취적근계핵자절편도상，차조우계산궤도형학기술화가시화공구포 Visualization Toolkit 5.4실현옥미근계모형적중구；대근계모형적궤하삼수진행측량，험증중구모형적정도.결과표명：토양체적함수솔재5%~20%범위내변화시불회대옥미근계적핵자공진성상질량조성현저영향；모형적궤하측량치여근계진실치지간적오차균소우3%，여표준방법측정결과구유흔호적일치성.본연구가이용우식물근계적원위무손검측，실현근계궤하삼수적정학측량，대우인지근계여주위토양개질적상호작용규률구유십분중요적작용.
Summary Plant root system is plastic and dynamic,allowing plants to respond to their different environments in order to optimize acquisition of important soil resources.A number of root architecture parameters are known to be correlated with improved crop performance.Therefore,quantitative analysis of root architecture parameters,or the spatial configuration and distribution of root system in soil,will help to promote our understanding for root structure,function and their interactions with the soil in rhizosphere zone.The overall objective of the present work is to reconstruct 3D (three-dimensional) root architecture in situ non-destructively and to measure quantitatively geometric parameters of root system. <br> The maize roots were used as research object,and the cross-section images of maize roots were performed on a whole-body magnetic resonance(MR)imaging system with a static magnetic field of 3.0 Tesla.The MR method was found to be very effective for capturing root slice images dynamically without any contact or perturbation of plant root system or growth medium.Based on the root slice image data for maize root architectures obtained by this non-destructive approach,3D root architecture parameters were measured.Root slice images were generated using a fast spin echo sequence with effective echo time of 10.2 ms,repetition time of 1 800 ms,slice thickness of 2 mm,and imaging matrix of 5 12 × 5 12 pixels.Although MR imaging is closely related to the water content of material,volumetric water contents of rhizosphere in the range of 5% 20% have not significant impact on the quality of root slice images.The reconstruction process consisted of the following steps:image format conversion, filtering,roots target extraction,root data encapsulation,model reconstruction.Radiant DICOM viewer and Matlab r2009b were employed to preprocess the original slice images,including:1) gray level transformation of the original gray level images;2)contourlet transform filtering for noise reduction and image quality enhancement;3) segmentation through Otsu threshold segmentation algorithm.A procedure to obtain root architecture system of maize was developed by computer image graphics technology.The root model was reconstructed with improved volume rendering algorithm in the environment of Visualization Toolkit 5.4.In order to verify the reliability of the reconstructed model,the obtained root architecture models were converted to STL (standard template library) format,and then were transformed to a 3D solid object.Then they were imported into a computer aided-design software Pro/E to calculate their geometric parameters.Similarly,actual geometric parameters of the samples were measured manually by a vernier caliper and water displacement method. <br> By comparing the reconstruction model of root architecture with the physical object,it was found that the obtained models were well consistent with real samples,showing very good agreement in shape,volume and other morphological parameters,and the errors among them were less than 3%. <br> In sum, the presented methodology can avoid making great efforts in experimental measurements and consequently development of the root architecture models,and decrease the error generated from manual data extraction.This work is expected to be a useful contribution for modeling and simulation of root architecture system in situ non-destructively.Therefore,this approach provides a novel technique for the study of plant root growth and its adaptive changes to various environmental conditions.