http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104706320-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0071 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T17-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T17-00 |
| filingDate | 2015-01-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2017-02-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2017-02-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-104706320-B |
| titleOfInvention | Fluorescent diffusion optical cross-sectional image reestablishing method based on dfMC model |
| abstract | The invention discloses a fluorescent diffusion optical cross-sectional image reestablishing method based on a decoupling fluorescence Monte Carlo (dfMC) model, and belongs to the technical field of biomedical engineering. The method includes the steps of firstly, determining a detecting area, selecting a plurality of scanning points in the detecting area, and obtaining fluorescent intensity distribution on a detector; secondly, establishing a three-dimensional digital model for depicting a tissue optical parameter space structure, conducting forward-direction white Monte Carlo simulation of stimulating photons according to the scanning positions and directions of a light source, tracking the stimulating photons, and recording the corresponding physical quantities of the photons reaching the detector on a path; thirdly, calculating the weight of fluorescent photons through a dfMC method, and calculating a fluorescent Jacobi matrix; fourthly, calculating the positions and absorbing coefficients of fluorophores in tissue through iterative reconstruction of GPU clusters. The method has the advantage of providing an accurate and rapid reestablishing method for a three-dimensional fluorescence tomography system through the high-precision dfMC model on the basis of the accelerated iterative reconstruction process of the GPU clusters. |
| priorityDate | 2014-11-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 16.