Ranjbar Homayoon, Wen Jie, Mathews Aswin J, Komarov Sergey, Wang Qiang, Li Ke, O'Sullivan Joseph A, Tai Yuan-Chuan
Department of Electrical and Systems Engineering, Washington University in St. Louis, MO, USA.
Phys Med Biol. 2016 May 7;61(9):3572-95. doi: 10.1088/0031-9155/61/9/3572. Epub 2016 Apr 11.
Positron emitting isotopes, such as (11)C, (13)N, and (18)F, can be used to label molecules. The tracers, such as (11)CO2, are delivered to plants to study their biological processes, particularly metabolism and photosynthesis, which may contribute to the development of plants that have a higher yield of crops and biomass. Measurements and resulting images from PET scanners are not quantitative in young plant structures or in plant leaves due to poor positron annihilation in thin objects. To address this problem we have designed, assembled, modeled, and tested a nuclear imaging system (simultaneous beta-gamma imager). The imager can simultaneously detect positrons ([Formula: see text]) and coincidence-gamma rays (γ). The imaging system employs two planar detectors; one is a regular gamma detector which has a LYSO crystal array, and the other is a phoswich detector which has an additional BC-404 plastic scintillator for beta detection. A forward model for positrons is proposed along with a joint image reconstruction formulation to utilize the beta and coincidence-gamma measurements for estimating radioactivity distribution in plant leaves. The joint reconstruction algorithm first reconstructs beta and gamma images independently to estimate the thickness component of the beta forward model and afterward jointly estimates the radioactivity distribution in the object. We have validated the physics model and reconstruction framework through a phantom imaging study and imaging a tomato leaf that has absorbed (11)CO2. The results demonstrate that the simultaneously acquired beta and coincidence-gamma data, combined with our proposed joint reconstruction algorithm, improved the quantitative accuracy of estimating radioactivity distribution in thin objects such as leaves. We used the structural similarity (SSIM) index for comparing the leaf images from the simultaneous beta-gamma imager with the ground truth image. The jointly reconstructed images yield SSIM indices of 0.69 and 0.63, whereas the separately reconstructed beta alone and gamma alone images had indices of 0.33 and 0.52, respectively.
正电子发射同位素,如¹¹C、¹³N和¹⁸F,可用于标记分子。示踪剂,如¹¹CO₂,被输送到植物中以研究其生物过程,特别是新陈代谢和光合作用,这可能有助于培育出作物产量和生物量更高的植物。由于薄物体中正电子湮灭不佳,PET扫描仪的测量结果和所得图像在幼嫩植物结构或植物叶片中并非定量的。为了解决这个问题,我们设计、组装、建模并测试了一个核成像系统(同时β - γ成像仪)。该成像仪可以同时检测正电子([公式:见正文])和符合γ射线(γ)。成像系统采用两个平面探测器;一个是具有LYSO晶体阵列的常规γ探测器,另一个是磷光体探测器,其具有用于β检测的额外BC - 404塑料闪烁体。提出了一个正电子的前向模型以及一个联合图像重建公式,以利用β和符合γ测量来估计植物叶片中的放射性分布。联合重建算法首先独立重建β和γ图像以估计β前向模型的厚度分量,然后联合估计物体中的放射性分布。我们通过体模成像研究和对吸收了¹¹CO₂的番茄叶成像验证了物理模型和重建框架。结果表明,同时获取的β和符合γ数据,结合我们提出的联合重建算法,提高了估计薄物体(如叶片)中放射性分布的定量准确性。我们使用结构相似性(SSIM)指数将同时β - γ成像仪的叶片图像与真实图像进行比较。联合重建图像的SSIM指数分别为0.69和0.63,而单独重建的仅β图像和仅γ图像的指数分别为0.33和0.52。