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46 results about "Multimodality image registration" patented technology
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Multimodal image registration using compound mutual information
InactiveUS20060029291A1Simple methodCharacter and pattern recognitionMultimodality image registrationComputer vision
In a digital image registration method, a second digital image is transformed to be more like a first digital image using a modification function, resulting in a modified second digital image. A set of first features of each of the first and modified second digital images is determined. Zones are specified in each of the first and modified second digital images. A set of zonal features, of each of the zones is determined. Compound mutual information is computed from the first and zonal features. The modification function is altered. The transforming, determining, specifying, determining, computing, and altering are iterated until the compound mutual information is maximized.
Owner:CARESTREAM HEALTH INC
Multimodal image registration using compound mutual information
InactiveUS7639896B2Simple methodCharacter and pattern recognitionMultimodality image registrationDigital image
In a digital image registration method, a second digital image is transformed to be more like a first digital image using a modification function, resulting in a modified second digital image. A set of first features of each of the first and modified second digital images is determined. Zones are specified in each of the first and modified second digital images. A set of zonal features, of each of the zones is determined. Compound mutual information is computed from the first and zonal features. The modification function is altered. The transforming, determining, specifying, determining, computing, and altering are iterated until the compound mutual information is maximized.
Owner:CARESTREAM HEALTH INC
System and method for fast multimodal registration by least squares
InactiveUS20070086678A1Minimize energy functionPrecise functionImage enhancementImage analysisImaging modalitiesMultimodality image registration
A method for multimodal image registration includes providing a pair of images acquired from differing imaging modalities, defining an intensity correction function that corrects the intensities of a first image in terms of the intensities of the second image, defining a registration transformation function that registers the second image with the first image, wherein said intensity correction function and transformation function are functions of a plurality of parameters, obtaining corrections to the plurality of parameters by minimizing an energy functional of a square difference of the intensity corrected first image and the registration transformed second image, and updating the intensity correction function and the registration transformation function based on the corrected plurality of parameters.
Owner:SIEMENS MEDICAL SOLUTIONS USA INC
Image registration method based on improved structural similarity
InactiveCN102509114AGood convex function characteristicsImprove registration accuracyCharacter and pattern recognitionNormalized mutual informationNormalize mutual information
The invention provides an image registration method based on improved structural similarity. According to the invention, the improved structural similarity serves as the objective function of the image registration for the first time; four parameters of the two-dimensional image rigid body transformation are obtained through translation, rotation and consistent scaling along the X-axis and Y-axis; and the single-modal and multimodal images are analyzed in detail based on the registration algorithm and performance of the structural similarity and are compared with that based on a normalized mutual information registration algorithm. The result shows that when an absolute value is extracted during defining the structural similarity, the structural similarity has favorable features of a convex function; for either the single-modal image registration or the multimodal image registration, the structural similarity serving as the measure function can achieve the sub-pixel registration with registration precision and robustness better than that based on the classic normalized mutual information registration algorithm; and if K1 is less than or equal to 0.000001, and K2 is less than or equal to 0.000003, the two-value image can achieve the pixel registration.
Owner:LUDONG UNIVERSITY
Head medical model quick forming method based on 3D printing
ActiveCN103978789AResolution cycleSolve the accuracy problemTypewritersOther printing apparatusPersonalizationDiagnostic Radiology Modality
The invention provides a head medical model quick forming method based on 3D printing. According to the method, CT / MR multimode medical images are used, a three-dimensional model is quickly established for head tissue / organs, and a 3D printing method is used for carrying out quick forming on the three-dimensional model. The method comprises the steps that (1) a multimode image registration technology is used, and the CT / MR images are registered into a unified space coordinate system; (2) according to medical information provided by the CT / MR images, different kinds of head tissue / organs are extracted; (3) the three-dimensional model is established for the extracted tissue / organs; and (4) the three-dimensional model is subjected to layering layer by layer, cross section data after layering are obtained, and 3D printing is carried out according to the cross section data. According to the CT / MR images, the head tissue / organs can be subjected to quick and accurate modeling, the manufacturing speed and the accuracy of a head medical model can be effectively improved, and a customized and personalized head medical model can be provided.
Owner:SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
Image data base and inspection robot-based equipment trouble detection method
InactiveCN104253482AFacilitate the unattended processReduce labor intensityRadiation pyrometryCircuit arrangementsFeature extractionMultimodality image registration
The invention discloses an image data base and inspection robot-based equipment trouble detection method. According to the image data base and inspection robot-based equipment trouble detection method, an image data base is established, equipment is calibrated manually, a visible light camera and a thermal imaging camera which are installed on an inspection robot are used for shooting, and detection and alarming of equipment with abnormal temperature are achieved only through rectification between a real-time visible light image and the corresponding image data base, so that problems of complex and uncontrollable multi-modal image registration, equipment characteristic extraction, mode recognition and the like are converted to be the problem of single-modal image registration, steps are simplified, and the detection accuracy is improved.
Owner:UNIV OF JINAN
System and method for fast multimodal registration by least squares
InactiveUS7715654B2Minimize energy functionImage enhancementImage analysisImaging modalitiesMultimodality image registration
Owner:SIEMENS MEDICAL SOLUTIONS USA INC
Multi-modality image registration method and operation navigation method based on multi-modality image registration
ActiveCN102592137APrecise registrationFast and accurate registrationDiagnosticsSurgical navigation systemsDiagnostic Radiology ModalityPattern recognition
A multi-modality image registration method includes the following steps: sampling reference images and images to be registered according to a first sampling proportion to obtain the reference images and the images to be registered with first resolution ratio, adopting a B spline surface as a deformation model to perform matching on the reference images and the images to be registered, calculating matching measure and obtaining first matching parameters, and increasing sampling proportion to repeat the processes until the matching measure reaches a reset threshold value, wherein in matching, matching parameters of last time are used as initial matching parameters after each-time sampling proportion is increased. An operation navigation method based on multi-modality image registration is further provided.
Owner:NANTONG KANGSHENG MEDICAL EQUIP
Multi-modal image registration method based on synthetic ultrasonic image
ActiveCN110163897AReal-time compositingMeet the requirements of real-time image-guided surgeryImage enhancementImage analysisDiagnostic Radiology ModalityDiscriminator
The invention provides a multi-modal image registration method based on a synthetic ultrasonic image. The method comprises the following steps: according to a magnetic resonance image and a real ultrasonic image, constructing a generative adversarial network comprising a generator and a discriminator, generating a simulated synthetic ultrasonic image, registering the simulated synthetic ultrasonicimage and a real ultrasonic image to obtain registration parameters, and applying the registration parameters to a magnetic resonance image to complete registration and fusion of the final magnetic resonance image and the final ultrasonic image. According to the method, the ultrasonic image can be synthesized from the magnetic resonance image in real time, and the requirement of a real-time imageguide operation is met; the synthesized simulated ultrasonic image is closer to a real ultrasonic image, the image quality is higher, and important detail information is better stored; when the magnetic resonance image contains the tumor, the simulated ultrasonic image can still be accurately synthesized; the final registration technology does not need a complex registration algorithm, and a goodregistration effect can be achieved only through a traditional simple registration algorithm.
Owner:ARIEMEDI MEDICAL SCI BEIJING CO LTD
Multispectral-based fundus image registration method and system
ActiveCN110544274ACorrect space transformationAvoid fit problemsImage enhancementImage analysisDiagnostic Radiology ModalityPattern recognition
The invention provides a multispectral-based fundus image registration method, comprising the steps: acquiring the multispectral fundus image through RHA, and selecting a template fundus image and a fundus image to be registered; constructing a regression network for obtaining a deformation field between the template fundus image and the fundus image to be registered, and adding a feature balancelayer and a pyramid structure into the regression network; constructing a loss function, wherein the loss function comprises similarity loss of the blood vessel label graph and flattening constraint of a deformation field; and training the network in a weak supervision mode, and taking the processed segmentation image of the fundus image as a label of the training network. According to the multispectral-based fundus image registration method, the registration model is trained by taking the segmentation image as guidance and adopting a weak supervision mode, and practice proves that the methodcan effectively solve the problem of multispectral fundus image registration, and a good effect can be achieved, and the weak supervision segmentation oriented registration method can be expanded to more multimodal image registration problems.
Owner:SHANDONG NORMAL UNIV
Matching curve feature based image registration evaluating method
InactiveCN103632338AThe assessment results are accurateAccurate and quantitative assessment of resultsGeometric image transformationNormalized mutual informationCorrelation coefficient
Quantitative evaluation on registration results is an important content in the field of image registration. Many scholars propose to evaluate the registration results with pixel physical coordinates RMSE (root mean square error) and MSE (mean square error), or pixel gray level CC (correlation coefficient) and NMI (normalized mutual information) and the like, however, those methods are normally used for evaluating registration of single-modal or retrospective multi-modal images, but quantitative evaluation results are difficult to give to real multi-modal image registration due to lack of accurate measurement criteria. Through research on image matching curves, the invention provides a novel registration evaluating method, namely a matching curve feature evaluating method. Peaks, peak deviations and peak values of matching curves and RMSEs among the peak values are taken as quantitative evaluation indexes, and quantitative evaluation results are given on the basis of the peak deviations and the peak values. By the method, registration performance is visually described from features of smoothness, sharpness and the like of the curves, registration effect can be evaluated quantitatively via feature indexes of the curves, and given evaluation results for sub-pixel registration are accurate.
Owner:LUDONG UNIVERSITY
Rapid convex optimization algorithm based method for registering three-dimensional CT and ultrasonic liver images
ActiveCN104933672AHigh precisionImprove securityImage enhancementImage analysisDiagnostic Radiology ModalityThree dimensional ct
The invention relates to the field of medical image post treatment, for the purpose of providing a rapid convex optimization algorithm based method for registering three-dimensional CT and ultrasonic liver images. The rapid convex optimization algorithm based method for registering the three-dimensional CT and ultrasonic liver image images comprises the following process: adjusting the resolution of ultrasonic images and CT images to be the same; performing rigid transformation based coarse registration on the ultrasonic images and the CT images; extracting unified characteristic information of multimodal image registration; calculating a D(u) in a data item and a partial D(u) of the D(u) under the condition of a non-rigid deformation field u(x); performing model solving on each step of a gradual convex optimization method to obtain a deformation field optimal rectification value h(x), and updating the deformation field until the h(x) is very small; and according to the solved non-rigid deformation field, transforming the ultrasonic images for registration with the CT images. According to the invention, through establishment of a reasonable model, a rapid and accurate three-dimensional ultrasonic-CT liver image registration algorithm is designed, and the accuracy, the safety and the effectiveness of an ablation operation are improved.
Owner:ZHEJIANG DE IMAGE SOLUTIONS CO LTD
Diffeomorphism demons image registration method and system based on mode transformation
ActiveCN103236059AImage analysisGeometric image transformationReference imageMultimodality image registration
The invention relates to a diffeomorphism demons image registration method and a diffeomorphism demons image registration system based on mode transformation. Firstly, affine transformation is performed on a reference image and a floating image, and then the mode transformation is performed on the reference image and the floating image; pixel gray value data in the images after the mode transformation is read, a deformation vector is obtained, space transformation is obtained through the deformation vector, and the deformation vector is updated to the space transformation; and after updating times reach first preset times and when mode transformation times reach second preset times, initial space transformation is used for the transformation of the floating image. According to the image registration method and the image registration system, advantages of two image registration methods of a mode transformation demons algorithm and a diffeomorphism demons algorithm in an image registration aspect are integrated, the initial space transformation passes through multiple iterations, so as to obtain relatively better initial space transformation, and when the relatively better initial space transformation is applied to the transformation of the floating image, image registration can be realized better. The method and the system are suitable for single-mode and multi-mode image registration and can be used for processing large or small deformation registration.
Owner:SHENZHEN INST OF ADVANCED TECH
Prostate image registration system and method based on automatic segmentation and pelvis alignment
ActiveCN110363802AImprove registration accuracyHigh precisionImage enhancementImage analysisDiagnostic Radiology ModalityAutomatic segmentation
The invention discloses a prostate image registration system and method based on automatic segmentation and pelvis alignment, and mainly solves the problems of large modal difference and low registration precision when prostate multi-modal medical image registration is realized in the prior art. The implementation scheme includes: performing joint segmentation on the prostate CT image sequence andthe prostate MRI image sequence by using a trained prostate multi-modal image segmentation network U-net to obtain a prostate CT image segmentation result image set C and a prostate MRI image segmentation result image set M; and performing two-stage registration on the two image sets C and M to obtain a final registration image set L; and finally, fusing and displaying the final registration image set L and the prostate CT image segmentation result image set C. According to the invention, the prostate multi-modal image difference is reduced, the problem of small-deformation image registrationis solved, the multi-modal image registration efficiency and registration precision are improved, and the method can be used for observing the shape and position change of a prostate tumor anatomicalpart.
Owner:XIDIAN UNIV
Image processing method applied to surgical navigation
ActiveCN106529188AAutomatic segmentationAutomatic calculationImage enhancementImage analysisFeature vectorVoxel
The invention discloses an image processing method applied to surgical navigation. The method comprises the steps that a tested image is acquired; if the acquired tested image comprises a multimodality image of a CT image and / or an MR image, multimodality image registration is performed; voxels of the tested image are segmented and marked; features of background, vessels, nerves, skeletons, foci and visceral organs where the foci are located are extracted, and feature vector preprocessing is performed; feature parameters of focus areas obtained after image segmentation are calculated; the end point of a surgical navigation path is determined though feature parameter calculation, a starting point area of the surgical navigation path is determined in a man-machine interaction mode, and path optimization is done. Through multimodality image registration and analysis, automatic and accurate segmentation of the foci, calculation of the parameters of the foci and output of an optimized path for cooperation with visual operation during surgical navigation are realized.
Owner:苏州国科康成医疗科技有限公司
Multi-modal image registration method and device, electronic equipment and storage medium
The invention is suitable for the technical field of pattern recognition, and provides a multi-modal image registration method, which comprises the steps of obtaining a first image of a source modal and a second image of a target modal paired with the first image; correcting the intensity of the first image to obtain a first corrected image, so that the intensity of the first corrected image is matched with the intensity distribution of the second image; acquiring a deformation field of the first corrected image registered to a target mode according to the first corrected image and the secondimage; and according to the first image and the deformation field, obtaining a registration image of the first image registered to a target mode. Therefore, the influence of the image intensity characteristics is reduced, and the precision reduction caused by overlarge distance difference between the same object of the to-be-corrected first image and the ideal registration result can be avoided, so that the registration precision is improved.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Multimode image registration method and system
ActiveCN106361366AGuaranteed accuracyReduce registration errorImage enhancementReconstruction from projectionMultimodality image registrationRotation matrix
The invention provides a multimode image registration method and system. The first point making the distance between every two straight lines across different surfaces in multiple straight lines across different surfaces shortest is determined by establishing a registration model provided with multiple straight lines across different surfaces and utilizing the uniqueness of the point shortest away from the straight lines across different surfaces, mapping data of the first point in a first image and a second image is respectively obtained, then rotation matrixes and translation vectors from the first image to the second image are obtained according to the mapping data, and the rotation matrixes and the translation vectors serve as registration parameters of the second image and the first image. Due to the uniqueness of the first point between every two straight lines across different surfaces, the accuracy of registration between the first image and the second image is ensured, and registration errors between the first image and the second image are decreased.
Owner:SHANGHAI UNITED IMAGING HEALTHCARE
Multi-modal image registration method and device, electronic equipment and storage medium
ActiveCN111311655AReliable estimateImplement 3D Offset EstimationImage enhancementImage analysisMultimodality image registrationReference image
The invention discloses a multi-modal image registration method and device, electronic equipment and a storage medium. The method comprises the following steps: judging whether a to-be-registered areaexists in a to-be-registered image and a registration reference image or not, wherein the to-be-registered image and the registration reference image are medical images acquired by using imaging equipment with different modes; performing two-dimensional sliding window search in a first image direction and two-dimensional sliding window search in a second image direction perpendicular to the firstimage direction on the to-be-registered image and the registration reference image under the condition that the to-be-registered area exists in the to-be-registered image and the registration reference image; and determining registration information of the to-be-registered image registered to the registration reference image according to a sliding window search result. Coarse registration of themulti-modal image is realized, the calculation amount is small, and the efficiency is high.
Owner:NEUSOFT MEDICAL SYST CO LTD
Cross-modal medical image registration method and computer readable storage medium
PendingCN112232362AAvoid insensitivity issues in hard-to-align border detail areasRich full-resolution representationGeometric image transformationCharacter and pattern recognitionEncoder decoderComputer graphics (images)
The invention provides a cross-modal medical image registration method and a computer readable storage medium. The method comprises the following steps: constructing a cross-modal medical image registration model of a full-resolution residual registration network; connecting a floating image and a reference image by adopting a full-resolution stream, and sequentially adding residual errors returned by a multi-scale residual error stream parallel to the full-resolution stream to enrich full-resolution feature information of the full-resolution stream; gradually reducing the number of channels through a continuous residual learning module, and estimating a full-resolution deformation field through a 3D convolution module; warping the floating image through a spatial transformation network based on the full-resolution deformation field so as to evaluate the similarity between the warped floating image and the reference image; training a model; and inputting the floating image to be registered and the reference image for registration to obtain multi-modal image registration. The problems of potential information loss and poor local registration quality in full-resolution prediction ofa conventional single-stream encoder decoder structure are solved by adding full-resolution streams.
Owner:SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
Multi-modal medical image registration method combining intelligent agent and attention mechanism
PendingCN114581499AReduce demandImprove accuracyImage enhancementImage analysisComputation complexityMultimodality image registration
The invention relates to a multi-modal medical image rigid registration algorithm based on deep reinforcement learning, which is a new end-to-end multi-modal image registration method, is trained by an asynchronous dominant actor commentator (A3C), can simulate the gradual registration process of human experts, and enhances the interpretability of the registration result. In view of a severe challenge of a multi-modal registration task in the aspect of calculation complexity, reinforcement learning and an attention mechanism are combined, so that an intelligent agent can capture more abstract high-dimensional features, introduction of a deep neural network with huge parameter quantity is avoided, and the characteristics of light weight and high efficiency of the network are kept, so that a model is easy to train, and the accuracy of registration is improved. And the method has strong robustness and generalization ability, and can drive the model to distort the moving image along the correct direction.
Owner:CHENGDU UNIV OF INFORMATION TECH
Multi-modal image registration method and system based on depth global features
PendingCN113223068AHigh precisionFast template matchingImage enhancementImage analysisData setSource image
The invention discloses a multi-modal image registration method and system based on depth global features. The method comprises the following steps: preparing a data set and making the data set; making a data set; preprocessing the image; designing a full-convolution twin network structure; extracting image features; obtaining a similarity score graph; based on the similarity score graph, using a comparison loss function to optimize the similarity score graph, using a peak value loss function to increase the convergence speed, and using a sorting loss function to enable similarity distribution of the positive samples to be close to real distribution; jointly optimizing the comparison loss, the sorting loss and the peak loss, loading the trained weight into the model, reading all test set data in sequence, and predicting translation parameters of a floating graph in a test set in a reference graph; and determining the position of the floating image on the reference image to realize multi-modal image matching. According to the method and system, a high-precision matching result can be obtained by deeply mining common characteristics of bottom layers of different-source images.
Owner:XIDIAN UNIV
Brain MR medical image registration method
ActiveCN110223331AReduce the impactImprove registration efficiencyImage enhancementImage analysisDiagnostic Radiology ModalityReference image
The invention discloses a brain MR medical image registration method. The method comprises the steps of 1, segmenting a reference image and a floating image by adopting a BCFCM method; 2, performing symmetry axis detection on the original reference image and the original floating image by adopting an MSR detection method, and extracting a symmetry axis equation; 3, performing threshold segmentation on the image processed in the step 1; 4, performing approximate symmetry constraint on the image processed in the step 3 according to the symmetry axis equation detected in the step 2, and marking the obtained image as a reference image and a floating image to be registered; 5, initializing rigid body transformation matrix registration parameters; and 6, registering the image through an SSD similarity measurement criterion to obtain an optimal transformation matrix registration parameter, segmenting the reference image and the floating image by using a BCFCM method; and performing binarization threshold processing on the segmented image to separate the background before separation, performing symmetry constraint on the image after binarization processing, and applying the image after binarization processing to multi-modal image registration under an SSD framework. The registration efficiency, the precision and the robustness are improved.
Owner:NANJING UNIV OF POSTS & TELECOMM
Multi-modal image registration method, device and equipment based on scale space
ActiveCN112017221AAchieve registrationImprove registration efficiencyImage enhancementImage analysisSpatial registrationPhysics
The invention relates to a multi-modal image registration method, device and equipment based on scale space, and the method comprises the steps: carrying out the preprocessing of two to-be-registeredoriginal images, and respectively obtaining a registration image corresponding to each original image; extracting a reference Harris corner point in the scale space image with the highest resolution in the scale space pyramid as a feature point; determining a PIIFD feature descriptor of the feature point in each layer of scale space image; according to the PIIFD feature descriptor, obtaining a target layer image matching pair with the highest number of matched feature point pairs; according to the coordinate relation of the matched feature point pairs in the target layer image matching pair, carrying out spatial registration on the two images for registration, achieving registration of multi-mode images. The method can adapt to various types of data images such as visible light, infrared light, multi-spectrum, hyperspectrum and radar, the registration precision of the images is high, the stability of the images is good, and the image registration efficiency can be effectively improved.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Multi-modality image registration method and operation navigation method based on multi-modality image registration
ActiveCN102592137BPrecise registrationFast and accurate registrationDiagnosticsSurgical navigation systemsDiagnostic Radiology ModalityPattern recognition
Owner:NANTONG KANGSHENG MEDICAL EQUIP
Unsupervised multi-modal image registration method based on integrated attention enhancement
PendingCN112330724AOvercoming the problem of slow registrationOvercoming the difficulty of obtaining the real deformation fieldImage enhancementImage analysisEngineeringNetwork model
The invention discloses an unsupervised multi-modal image registration method based on integrated attention enhancement. The method comprises the following steps: 1, preprocessing a medical image; 2,designing a registration framework, constructing a convolutional neural network model, automatically learning network parameters by optimizing similarity measurement of image pairs, and directly estimating a deformation field of the image pairs; and 3, dividing the image data into a training set and a test set, training a network model by using the training set, and finally testing the test set byusing the trained network model. According to the method, the deformation parameters of the image pair are estimated by directly optimizing the target function through the deep learning technology, the method can adapt to different data for different data and has high generalization capacity, the cascade encoder and the EAM are designed to extract the characteristics useful for the registration task, and the registration performance is improved to a certain extent.
Owner:GUIZHOU UNIV
Near-infrared and visible light remote sensing image registration method based on reinforcement learning
PendingCN113643339AImprove feature extractionImprove accuracyImage analysisNeural architecturesGreedy algorithmMultimodality image registration
The invention discloses a near-infrared and visible light remote sensing image registration method based on reinforcement learning, and the method comprises the following steps: S1, trimming infrared and visible light images to the same size, and carrying out the stacking processing; S2, inputting the stacked images into a residual error improved dense neural network for processing, and outputting a Q value required by registration; S3, reasoning according to the Q value to predict probability distribution of each action in the strategy action space; S4, selecting an action with the maximum probability in the strategy action space according to the probability distribution of each action, and executing the action by the image to be registered; S5, after the to-be-registered image and the reference image reach a set similarity threshold value, carrying out greedy algorithm reasoning sampling on current image registration; and S6, carrying out moving resampling on the current image to be registered, and outputting a final registration result. According to the image registration method, all parts of the registered image are connected naturally and smoothly, multi-modal image registration is more stable, and the effect is better.
Owner:SHANGHAI INST OF TECH
Multi-modal image registration method based on deep learning
PendingCN114119685AConvenient registrationImprove registration accuracyImage analysisCharacter and pattern recognitionPattern recognitionImaging processing
The invention belongs to the field of image processing, discloses a multi-modal image registration method based on deep learning, and is used for solving the problem that the error is large when a traditional image registration method is used for registering complex multi-modal images shot by cameras in different imaging modes. The image registration method comprises the following steps: firstly, putting original images in an image set A into a semantic segmentation network to obtain a segmented image set B; multiplying the corresponding images in the image set B and the image set A pixel by pixel to obtain an image set C; and then selecting one image from the image set C as a fixed image, calculating geometric transformation by using gray value information of the image to obtain a deformed image, calculating the similarity between the deformed image and the reference image, iterating the optimal transformation T with the maximum similarity of the two images through an optimization algorithm, and applying the transformation T to the image set A to complete registration of the images. According to the method, the complex multi-modal image can be registered, and the method has the characteristics of high registration precision and real-time performance.
Owner:GUANGDONG UNIV OF TECH
Multi-modal image registration method, device and system and computer equipment
PendingCN112465885AReduce radiationEasy to operateImage enhancementImage analysisMultimodality image registrationNuclear medicine
The invention relates to a multi-modal image registration method, device and system and computer equipment, and the method comprises the steps: obtaining fixed first position information of a positioning part in a functional image imaging system, and storing the first position information in a data storage part; performing morphological image scanning on the positioning part to obtain a morphological positioning image of the positioning part; obtaining second position information of the positioning part in a morphological image imaging system based on the morphological positioning image; and registering the functional image and the morphological image based on the corresponding relationship between the first position information and the second position information. According to the multi-mode image registration method, device and system and the computer equipment, image registration can be carried out only by installing the positioning part in the functional image imaging system and carrying out morphological image scanning, operation is easy, meanwhile, a radioactive source does not need to be used, radiation of an operator is reduced, and the quality control cost is reduced.
Owner:SHANGHAI UNITED IMAGING HEALTHCARE
Method and system for image registration of diffeomorphic demons based on modality transformation
ActiveCN103236059BImage analysisGeometric image transformationReference imageMultimodality image registration
Owner:SHENZHEN INST OF ADVANCED TECH
A method for registration of 3D CT and ultrasound liver images based on fast convex optimization algorithm
ActiveCN104933672BHigh precisionImprove securityImage enhancementImage analysisDiagnostic Radiology ModalityThree dimensional ct
Owner:ZHEJIANG DE IMAGE SOLUTIONS CO LTD
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