冷冻成像及微转移瘤分子磁共振成像分析软件平台。

IF 3.3 Q2 ENGINEERING, BIOMEDICAL
International Journal of Biomedical Imaging Pub Date : 2018-04-01 eCollection Date: 2018-01-01 DOI:10.1155/2018/9780349
Mohammed Q Qutaish, Zhuxian Zhou, David Prabhu, Yiqiao Liu, Mallory R Busso, Donna Izadnegahdar, Madhusudhana Gargesha, Hong Lu, Zheng-Rong Lu, David L Wilson
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引用次数: 12

摘要

我们创建并评估了一个临床前、多模式成像和软件平台,以评估小转移瘤的分子成像。这包括实验方法(例如,gfp标记的肿瘤和高分辨率多光谱冷冻成像),非刚性图像配准以及显像剂靶向的交互式可视化。我们描述了早期应用于分子MR (CREKA-Gd)和红色荧光(CREKA-Cy5)显像剂靶向gfp标记的转移性肿瘤的技术细节。优化的非刚性冷冻mri配准使MR信号与GFP肿瘤的非模糊关联成为可能。ram外体积图像数据的交互式可视化允许人们放大gfp标记的微转移,从彩色冷冻图像确定其解剖位置,并确定靶向CREKA-Gd和CREKA-Cy5的存在/不存在。在具有>160个gfp标记肿瘤的小鼠中,我们确定在MR图像中,肺中>0.3 mm2的每个肿瘤都有可见信号,并且一些小至0.1 mm2的转移也可见。CREKA-Cy5中可见肿瘤多于CREKA-Gd。磁带转移方法和非刚性配准可以将整个小鼠组织精确(误差为μm)配准到相应的冷冻图像。组织学显示炎症和坏死区域未被显像剂标记。这种小鼠到细胞的多尺度和多模态平台应该能够独特地提供更多信息和准确的转移性癌症成像和治疗研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cryo-Imaging and Software Platform for Analysis of Molecular MR Imaging of Micrometastases.

Cryo-Imaging and Software Platform for Analysis of Molecular MR Imaging of Micrometastases.

Cryo-Imaging and Software Platform for Analysis of Molecular MR Imaging of Micrometastases.

Cryo-Imaging and Software Platform for Analysis of Molecular MR Imaging of Micrometastases.

We created and evaluated a preclinical, multimodality imaging, and software platform to assess molecular imaging of small metastases. This included experimental methods (e.g., GFP-labeled tumor and high resolution multispectral cryo-imaging), nonrigid image registration, and interactive visualization of imaging agent targeting. We describe technological details earlier applied to GFP-labeled metastatic tumor targeting by molecular MR (CREKA-Gd) and red fluorescent (CREKA-Cy5) imaging agents. Optimized nonrigid cryo-MRI registration enabled nonambiguous association of MR signals to GFP tumors. Interactive visualization of out-of-RAM volumetric image data allowed one to zoom to a GFP-labeled micrometastasis, determine its anatomical location from color cryo-images, and establish the presence/absence of targeted CREKA-Gd and CREKA-Cy5. In a mouse with >160 GFP-labeled tumors, we determined that in the MR images every tumor in the lung >0.3 mm2 had visible signal and that some metastases as small as 0.1 mm2 were also visible. More tumors were visible in CREKA-Cy5 than in CREKA-Gd MRI. Tape transfer method and nonrigid registration allowed accurate (<11 μm error) registration of whole mouse histology to corresponding cryo-images. Histology showed inflammation and necrotic regions not labeled by imaging agents. This mouse-to-cells multiscale and multimodality platform should uniquely enable more informative and accurate studies of metastatic cancer imaging and therapy.

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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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