Accurate quantification of fluorescent targets within turbid media based on a decoupled fluorescence Monte Carlo model

Deng, Yong; Luo, Zhaoyang; Xu, Jin; Xie, Wenhao; Luo, Qi

doi:10.1364/ol.40.003129

Cited by 7 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These experiments compare the SP N model including DE (SP 1 ), SP 3 , SP 5 , SP 7 with the MC method which is known as the gold standard in photon-transportation modeling. 16,25 All experiments were performed on a desktop computer with 3.40 GHz Intelr Xeonr Processor E3-1231 and 12 GB RAM.…”

Section: Forward Simulationmentioning

confidence: 99%

Performance evaluation of the simplified spherical harmonics approximation for cone-beam X-ray luminescence computed tomography imaging

Zhang

Geng

Chen

et al. 2017

J. Innov. Opt. Health Sci.

View full text Add to dashboard Cite

As an emerging molecular imaging modality, cone-beam X-ray luminescence computed tomography (CB-XLCT) uses X-ray-excitable probes to produce near-infrared (NIR) luminescence and then reconstructs three-dimensional (3D) distribution of the probes from surface measurements. A proper photon-transportation model is critical to accuracy of XLCT. Here, we presented a systematic comparison between the common-used Monte Carlo model and simpli¯ed spherical harmonics (SP N ). The performance of the two methods was evaluated over several main spectrums using a known XLCT material. We designed both a global measurement based on the cosine similarity and a locally-averaged relative error, to quantitatively assess these methods. The results show that the SP 3 could reach a good balance between the modeling accuracy and computational e±ciency for all of the tested emission spectrums. Besides, the SP 1 (which is equivalent to the di®usion equation (DE)) can be a reasonable alternative model for emission wavelength over 692 nm. In vivo experiment further demonstrates the reconstruction performance of the SP 3 and DE. This study would provide a valuable guidance for modeling the photon-transportation in CB-XLCT.

show abstract

Section: Forward Simulationmentioning

confidence: 99%

Performance evaluation of the simplified spherical harmonics approximation for cone-beam X-ray luminescence computed tomography imaging

Zhang

Geng

Chen

et al. 2017

J. Innov. Opt. Health Sci.

View full text Add to dashboard Cite

show abstract

Skull and cerebrospinal fluid effects on microwave radiation propagation in human brain

Ansari

Zarei

Akhlaghipour

et al. 2017

J. Phys. D: Appl. Phys.

View full text Add to dashboard Cite

The determination of microwave absorption distribution in the human brain is necessary for the detection of brain tumors using thermo-acoustic imaging and for removing them using hyperthermia treatment. In contrast to ionizing radiation, hyperthermia treatment can be applied to remove tumors inside the brain without the concern of including secondary malignancies, which typically form from the neuronal cells of the septum pellucidum. The aim of this study is to determine the microwave absorption distribution in an adult human brain and to study the effects of skull and cerebrospinal fluid on the propagation of microwave radiation inside the brain. To this end, we simulate the microwave absorption distribution in a realistic adult brain model (Colin 27) using the mesh-based Monte Carlo (MMC) method. This is because in spite of there being other numerical methods, the MMC does not require a large memory, even for complicated geometries, and its algorithm is simple and easy to implement with low computational cost. The brain model is constructed using high-resolution (1 mm isotropic voxel) and low noise magnetic resonance imaging (MRI) scans and its volume contains 181 × 217 × 181 voxels, covering the brain completely. Using the MMC method, the radiative transport equation is solved and the absorbed microwave energy distribution in different brain regions is obtained without any fracture or anomaly. The simulation results show that the skull and cerebrospinal fluid guide the microwave radiation and suppress its penetration through deep brain compartments as a shielding factor. These results reveal that the MMC can be used to predict the amount of required energy to increase the temperature inside the tumour during hyperthermia treatment. Our results also show why a deep tumour inside an adult human brain cannot be efficiently treated using hyperthermia treatment. Finally, the accuracy of the presented numerical method is verified using the signal flow graph technique.

show abstract

A fast forward solver of fluorescence diffuse optical tomography based on the lattice Boltzmann method

Zhang

Yan

Jiang

2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

View full text Add to dashboard Cite

Fluorescence diffuse optical tomography (FDOT) is a new molecular imaging technology, which uses near-infrared light to excite the fluorophore in tissues. According to the measurements detected on the surface of imaged object, the fluorescent quantum yield as well as lifetime of the fluorescence can be reconstructed. However, the reconstruction of FDOT remains a challenging problem because the conventional forward solvers are time consuming. Thus, a forward model solver that would enable the fast imaging is necessary. This paper describes a new forward solver to simulate the propagation of photons in tissues based on the lattice Boltzmann method (LBM). This is accomplished by propagation photons in tissues guided by the LBM. To evaluate the performance of the proposed LBM, based on the numerical simulation, we compared the light distribution generated by the LBM with the diffusion equation implemented by COMSOL in four different cases. The experimental results indicate that compared to diffusion equation, the LBM can reduce the computation time for the forward solver of FDOT while preserving the similar accuracy.

show abstract

Accurate quantification of fluorescent targets within turbid media based on a decoupled fluorescence Monte Carlo model

Cited by 7 publications

References 13 publications

Performance evaluation of the simplified spherical harmonics approximation for cone-beam X-ray luminescence computed tomography imaging

Performance evaluation of the simplified spherical harmonics approximation for cone-beam X-ray luminescence computed tomography imaging

Skull and cerebrospinal fluid effects on microwave radiation propagation in human brain

A fast forward solver of fluorescence diffuse optical tomography based on the lattice Boltzmann method

Contact Info

Product

Resources

About