RESUMEN
Optical molecular imaging resulting from Cerenkov radiation has become a motivating topic recently and will potentially open new avenues for the study of small animal imaging. Cerenkov-based optical imaging taken from living animals in vivo has been studied with two-dimensional (2D) planar geometry and three-dimensional (3D) homogeneous mouse model. In this study, we performed 3D Cerenkov-based luminescence tomography (CLT) using a heterogeneous mouse model with an implanted Na(131)I radioactive source, which provided the accurate location for the reconstructed source. Furthermore, single photon emission computed tomography (SPECT) was utilized to verify the results of 3D CLT. We reconstructed the localization and intensity of an embedded radioactive source with various concentrations, and established a quantitative relationship between the radiotracer activity and the reconstructed intensity. The results showed the ability of in vivo CLT to recover the radioactive probe distribution in the heterogeneous mouse model and the potential of a SPECT imaging validation strategy to verify the results of optical molecular tomography.
Asunto(s)
Luminiscencia , Modelos Animales , Tomografía Computarizada de Emisión de Fotón Único/métodos , Tomografía Óptica/métodos , Animales , Procesamiento de Imagen Asistido por Computador , Implantes Experimentales , Radioisótopos de Yodo , Ratones , Ratones DesnudosRESUMEN
Optical tomography can demonstrate accurate three-dimensional (3D) imaging that recovers the 3D spatial distribution and concentration of the luminescent probes in biological tissues, compared with planar imaging. However, the tomographic approach is extremely difficult to implement due to the complexity in the reconstruction of 3D surface flux distribution from multi-view two dimensional (2D) measurements on the subject surface. To handle this problem, a novel and effective method is proposed in this paper to determine the surface flux distribution from multi-view 2D photographic images acquired by a set of non-contact detectors. The method is validated with comparison experiments involving both regular and irregular surfaces. Reconstruction of the inside probes based on the reconstructed surface flux distribution further demonstrates the potential of the proposed method in its application in optical tomography.
Asunto(s)
Algoritmos , Interpretación de Imagen Asistida por Computador/métodos , Imagenología Tridimensional/métodos , Fotograbar/métodos , Fotometría/métodos , Luz , Dispersión de RadiaciónRESUMEN
Bioluminescence tomography (BLT) is a new optical molecular imaging modality, which can monitor both physiological and pathological processes by using bioluminescent light-emitting probes in small living animal. Especially, this technology possesses great potential in drug development, early detection, and therapy monitoring in preclinical settings. In the present study, we developed a dual modality BLT prototype system with Micro-computed tomography (MicroCT) registration approach, and improved the quantitative reconstruction algorithm based on adaptive hp finite element method (hp-FEM). Detailed comparisons of source reconstruction between the heterogeneous and homogeneous mouse models were performed. The models include mice with implanted luminescence source and tumor-bearing mice with firefly luciferase report gene. Our data suggest that the reconstruction based on heterogeneous mouse model is more accurate in localization and quantification than the homogeneous mouse model with appropriate optical parameters and that BLT allows super-early tumor detection in vivo based on tomographic reconstruction of heterogeneous mouse model signal.
Asunto(s)
Luminiscencia , Modelos Animales , Tomografía Computarizada por Rayos X/métodos , Imagen de Cuerpo Entero/métodos , Animales , Recuento de Células , Procesamiento de Imagen Asistido por Computador , Implantes Experimentales , Ratones , Especificidad de ÓrganosRESUMEN
Bioluminescence tomography is a novel optical molecular imaging technology. The corresponding system, theory, and algorithmic frames have been set up. In the present study, we concentrated on the analysis of quantitative reconstruction deviation from peak-wavelength shift of luminescent source and the deviation of heterogeneous mouse model. The findings suggest that the reconstruction results are significantly affected by the peak-wavelength shift and deviation of anatomical structure animal models. Furthermore, the model deviations exhibit much more influence than the wavelength shift on the reconstruction results.