47 results about "Fluorescence tomography" patented technology

In a fluorescence tomography apparatus for obtaining fluorescence tomographic images of a region of an object to be observed: an application unit concurrently applies an ultrasonic wave and excitation light to the region so that ultrasound-modulated fluorescence is emitted from the region under the influence of the ultrasonic wave; and a first image acquisition unit acquires a fluorescence tomographic image of the region on the basis of the ultrasound-modulated fluorescence.

The invention discloses a living small animal imaging system in a miniature CT and fluorescent tomography dual mode and an imaging method thereof. The living small animal imaging system in the miniature CT and the fluorescent tomography dual mode comprises a main control computer, an X-ray source and an X-ray detection device, an excitation source and an excitation light/fluorescent light detection device, and a rotary scanning device, wherein the X-ray source and the X-ray detection device, the excitation source and the excitation light/fluorescent light detection device, and the rotary scanning device are controlled by the main control computer. The invention can simultaneously acquire structure information by carrying out the miniature CT imaging on a small animal and fluorescent-labeled molecular information by carrying out the fluorescent tomography on small animals to enable the molecular information acquired by the fluorescent tomography to be accurately positioned in the smallanimal, thereby being beneficial to improving the diagnosis accuracy.

The present invention relates to a rotary type diffusion fluorescence tomography system. Said system includes the following several portions: semiconductor laser, computer, rotary working table, stepping motor and CCD camera. Said invention also provides its working principle and concrete operation method.

An apparatus for providing an integrated tri-modality system includes a fluorescence tomography subsystem (FT), a diffuse optical tomography subsystem (DOT), and an x-ray tomography subsystem (XCT), where each subsystem is combined in the integrated tri-modality system to perform quantitative fluorescence tomography with the fluorescence tomography subsystem (FT) using multimodality imaging with the x-ray tomography subsystem (XCT) providing XCT anatomical information as structural a priori data to the integrated tri-modality system, while the diffuse optical tomography subsystem (DOT) provides optical background heterogeneity information from DOT measurements to the integrated tri-modality system as functional a priori data. A method includes using FT, DOT, and XCT in an integrated fashion wherein DOT data is acquired to recover the optical property of the whole medium to accurately describe photon propagation in tissue, where structural limitations are derived from XCT, and accurate fluorescence concentration and lifetime parameters are recovered to form an accurate image.

A fluorescence optical tomography system and method uses a photon migration model calculator for which absorption and reduced scattering coefficient values are determined for each source/detector pair. The coefficient values may be determined by measurement, in which a time resolved detector detects the excitation wavelength and generates temporal point spread functions from which the coefficient values are found. Alternatively, the coefficient values may be determined by calculating them from a dataset containing a spatial distribution of absorption and reduced scattering coefficients in a volume of interest. The fluorescence detection may be continuous wave, time resolved, or a combination of the two. An estimator uses a detected fluorescence signal and an estimated fluorescence signal to estimate the image values.

The invention provides a three-dimensional reconstruction method of excited fluorescence tomography based on deep learning. The method comprises the following steps: S1, generating a training sample;S2, setting a deep learning model, and constructing that deep learning model comprising a picture information coding stage, a picture information fusion stage and a three-dimensional reconstruction stage; and S3, training the deep learning model, inputting the data of the organism into the deep learning model after training, and obtaining the three-dimensional reconstruction image of the organism.Based on statistical learning, the method trains the forward and reverse processes of photon propagation, and improves the precision and speed of three-dimensional reconstruction of biologically excited fluorescence computed tomography.

Systems and methods for near-infrared fluorescence (NIRF) imaging and frequency-domain photon migration (FDPM) measurements. An optical tomography system includes a bed, a wheel, a light source, an image detector, and radio frequency (RF) circuitry. The bed is configured to support an object to be imaged. The wheel is configured to rotate about the bed. The light source is coupled to the wheel. The image detector is coupled to the wheel and disposed to capture images of the object. The RF circuitry is coupled to the light source and the image detector. The RF circuitry is configured to simultaneously generate a modulation signal to modulate the light source, and generate a demodulation signal to modulate a gain of the image detector.

The invention relates to the field of small animal imaging, solves the problems that in the prior art, the image resolution is low and the image acquisition time is long, provides a photon counting-type dynamic diffusion fluorescence tomography system which has high sensitivity and image resolution and achieves the purpose of dynamic diffusion fluorescence tomography with short measurement time. In order to achieve the purpose, the invention adopts the technical scheme as follows: the photon counting-type dynamic diffusion fluorescence tomography device comprises a light source system used for fluorescence excitation, an imaging chamber system used for fixing and moving a detected object, a light switch used for switching a detection passage, a light-filtering system used for filtering off excited light signals, a detection system used for detecting light signals, and a computer used for integrated control of an attenuator, the light switch, a motor-driven light filtering wheel, a photomultipler tube and a photon counting module as well as image reconstruction. The invention is mainly applied to small animal imaging.

The invention provides an excited fluorescence tomography method based on a multilayer perceptual network. The method comprises the following steps: S1, generating a training sample; S2, setting a meshless standardized model and mapping the training samples into the meshless standardized model; S3, constructing a multi-layer perceptual network of excited fluorescence tomography according to a meshless standardized model, wherein that multi-layer perceptual network comprises an input layer, a hidden lay and an output layer; S4, training the meshless standardized model according to the output result of the output layer; and S5, inputting the data of the organism into the trained meshless standardized model to obtain a reconstructed image of the organism.

The invention discloses a CT (computed tomography)/FT (fluorescence tomography)/PET (position emission tomography) tri-modal synchronous imaging data acquiring system. The CT/FT/PET tri-modal synchronous imaging data acquiring system comprises a support device, a power device, a signal transmission device, a data acquiring device and a control system. During use, an examination bed is disposed in an imaging hole of the data acquiring device; a motor is controlled to operate according to a required mode by a control signal sent by a computer, and simultaneously, an X-ray tube, a laser, a CCD (charge coupled device) camera and a filter wheel are indirectly controlled by a control box; a disc rack surrounds a central line of the imaging hole to rotate around a small animal according to the set mode and acquires tri-modal data; acquired data are directly stored in the computer via a slip ring; the computer respectively processes the tri-modal data and rebuilds tri-modal images, and the tri-modal images are integrated into an image displaying an examined portion and functional information of the small animal via a specific processing algorithm. The tri-modal synchronous imaging data acquiring system integrates CT, optical and PET imaging modes into the same frame structure, so that three devices are controlled to acquire data by the same control system, and integration of the tri-model images is realized.

System and method for optical tomographic imaging optimizing analysis of time-domain data as a result of combination of lifetime multiplexing of low-cross-talk asymptotic photons with highly spatially resolved early photons. The tomographic data reconstruction employs a decay amplitude-based asymptotic approach and a matrix equation with a weight matrix that includes two different portions respectively representing time domain sensitivity functions and continuous-tomography weight matrices. System may employ a lifetime fluorescent tomography imaging system.

The invention discloses multimode 3D fluorescence tomography animal molecular imaging scanning equipment, and belongs to the technical field of optical molecular imaging. The multimode 3D fluorescencetomography animal molecular imaging scanning equipment comprises a light sheltering camera bellows, a sample platform mounted in the light sheltering camera bellows and a computer terminal for controlling the equipment and imaging, wherein the sample platform comprises a transparent platform which is supported by a supporting column; the outer wall of the transparent platform is rotatably connected with a rotating platform through a bearing; the rotating platform is driven by a driving mechanism to rotate; a sample box is placed on the surface of the transparent platform; a CT scanning moduleis placed on the surface of the rotating platform; a CCD camera and an LED array are arranged on the inner wall of the top end of the light sheltering camera bellows; a lens collimator is arranged right below the sample platform, and is connected with a laser through an optical fiber wire; and an FMT scanning module consists of the CCD camera, the lens collimator and the laser. According to the multimode 3D fluorescence tomography animal molecular imaging scanning equipment disclosed by the invention, the CT scanning module is combined with the FMT scanning module, so that dualmode imaging isperformed on live small animals, so that the imaging is enriched.

The invention belongs to the field of digital images, particularly relates to an optical tomography method and system based on a K-nearest neighbor local connection network, and aims to solve the problem that the reconstruction precision and imaging speed of existing FMT imaging cannot be considered at the same time. The method comprises the following steps: constructing a first sample by utilizing Monte Carlo simulation; utilizing the first sample to realize expansion of a training sample set in a sample combination mode; for the constructed K-nearest neighbor local connection network, training by using the training sample set, and optimizing a local connection sub-network by using residual learning; and performing internal light source reconstruction based on an appearance fluorescence image of the target object by using the trained K-nearest neighbor local connection network. According to the neural network method based on data driving, the reverse propagation process of photons ina living body is directly learned, and accurate and rapid excitation of fluorescence tomography is achieved.

The invention belongs to the field of medical optical coherent tomography technologies, and relates to a method for extracting information of a fluorescence tomography system for small animals. The method includes calibrating the tomography system and positioning the outer edge of a tomography cavity in a focal plane of a lens; respectively drawing luminous intensity distribution curves of emergent light of excitation light and fluorescence; selecting a range of a central angle theta of the tomography cavity and an information extraction region S mapped to a detected image; individually utilizing pixel data corresponding to a range of small luminous intensity values in the information extraction region S as a sub-region according to the luminous intensity distribution curves of the emergent light, and respectively utilizing pixel data corresponding to two-side ranges of high luminous intensity values as two sub-regions; solving an average value of measured data in each sub-region, utilizing each average value as an average detection value and reconstructing the image by the aid of all the extracted average detection values. The method has the advantages that computation can be simplified, and influence of two-side stray light can be eliminated.

The invention belongs to the field of biomedical molecular imaging, particularly relates to an excitation fluorescence tomography method, system and equipment based on a GCN residual connection network, and aims to solve the problems of model precision reduction, reconstruction precision reduction and slow reconstruction speed in the traditional FMT reconstruction based on a photon propagation model. The method comprises the following steps: meshing segmented CT image data of an organism, and carrying out graph structure modeling; simulating a photon propagation process of an in-vivo light source in the organism to obtain fluorescence distribution on the surface and in the organism, and expanding the fluorescence distribution as a light source sample; constructing a first node set; inputting the expanded light source sample and each node in the first node set into a deep learning network model, and training the model; and utilizing the trained deep learning network model to carry out excitation fluorescence tomography reconstruction on the organism. According to the invention, excitation fluorescence tomography with high reconstruction quality and high reconstruction speed is realized.

The invention belongs to the technical field of medical imaging, and discloses a single-view-angle reflective near-infrared two-region fluorescence dynamic tomography system and method, and the system comprises a fluorescence imaging module, a CT imaging module, a central control module, a data processing module and an auxiliary module. The wide-field excitation light source is used for irradiating an imaging target, the collecting camera and the excitation light source are located on the same side, the imaging speed is greatly increased through reflection type imaging, and real-time fluorescence tomography can be obtained. According to the invention, near-infrared two-region imaging is adopted, so that the image resolution of three-dimensional reconstruction can be improved; a reflective fluorescence tomography technology is utilized, three-dimensional fluorescence tomography reconstruction is carried out only by using single-view-angle reflection fluorescence data, it is hopeful to achieve wide-field excitation to obtain high imaging speed, and real-time fluorescence tomography is obtained; the structure image of the sample is obtained by combining the single-view CT tomography technology of depth reconstruction, and the sample does not need to be rotated any more, so that the system complexity is reduced, and the imaging speed is improved at the same time.