Chehade Moussa, Srivastava Amit K, Bulte Jeff W M
Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21205, USA.
Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Tomography. 2016 Jun;2(2):159-165. doi: 10.18383/j.tom.2016.00160.
We present a practical approach for co-registration of bioluminescence tomography (BLT), computed tomography (CT), and magnetic resonance (MR) images. To this end, we developed a customized animal shuttle composed of non-fluorescent, MR-compatible Delrin plastic that fits a commercially available MR surface coil. Mouse embryonic stem cells (mESCs) were transfected with the luciferase gene and labeled with superparamagnetic iron oxide (SPIO) nanoparticles. Cells were stereotaxically implanted in mouse brain and imaged weekly for 4 weeks with BLI (IVIS Spectrum CT scanner) and MRI (11.7T horizontal bore scanner). Without the use of software co-registration, phantom studies yielded root-mean-square errors (RMSE) of 7.6×10, 0.93 mm, and 0.78 mm along the medial-lateral (ML), dorsal-ventral (DV), and anterior-posterior (AP) axes, respectively. Rotation errors were negligible. Software co-registration by translation along the DV and AP axes resulted in consistent agreement between the CT and MR images, without the need for rotation or warping. co-registered BLT/MRI mouse brain data sets demonstrated a single, diffuse region of BLI photon signal and MRI hypointensity. Over time, the transplanted cells formed tumors as validated by histopathology. Disagreement between BLT and MRI tumor location was greatest along the DV axis (1.4±0.2 mm) compared to the ML (0.5±0.3 mm) and AP axis (0.6 mm) due to the uncertainty of the depth of origin of the BLT signal. Combining the high spatial anatomical information of MRI with the cell viability/proliferation data from BLT should facilitate pre-clinical evaluation of novel therapeutic candidate stem cells.
我们提出了一种用于生物发光断层扫描(BLT)、计算机断层扫描(CT)和磁共振(MR)图像联合配准的实用方法。为此,我们开发了一种定制的动物转运装置,它由非荧光、与MR兼容的Delrin塑料制成,可适配市售的MR表面线圈。将荧光素酶基因转染到小鼠胚胎干细胞(mESC)中,并用超顺磁性氧化铁(SPIO)纳米颗粒进行标记。将细胞立体定向植入小鼠脑内,并使用生物发光成像(BLI,IVIS Spectrum CT扫描仪)和磁共振成像(MRI,11.7T水平孔径扫描仪)每周成像一次,持续4周。在不使用软件联合配准的情况下,模型研究在内外侧(ML)、背腹侧(DV)和前后(AP)轴上分别产生了7.6×10、0.93毫米和0.78毫米的均方根误差(RMSE)。旋转误差可忽略不计。通过沿DV和AP轴平移进行软件联合配准,使得CT和MR图像之间达成了一致,无需旋转或变形。联合配准的BLT/MRI小鼠脑数据集显示出一个单一的、弥漫性的BLI光子信号区域和MRI低信号区。随着时间的推移,经组织病理学验证,移植细胞形成了肿瘤。由于BLT信号起源深度的不确定性,BLT与MRI肿瘤位置之间的差异在DV轴上最大(1.4±0.2毫米),而在ML轴(0.5±0.3毫米)和AP轴(0.6毫米)上较小。将MRI的高空间解剖信息与BLT的细胞活力/增殖数据相结合,应有助于对新型治疗候选干细胞进行临床前评估。