298 results about "Preoperative planning" patented technology

The invention relates to the technical field of medical image processing, in particular to an artificial intelligence assisted intraoperative imaging method, which comprises the following steps: S1, preprocessing a multi-modal medical image, segmenting and recognizing an anatomical structure by a deep learning model according to the preprocessed image, measuring anatomical parameters based on a segmentation and recognition result, and generating an operation planning path by artificial intelligence according to the anatomical parameters; s2, collecting a C-shaped arm perspective image stream in real time, dynamically tracking space coordinates of a surgical instrument, comparing the position of the instrument with a surgical planned path, calculating offset, and when the offset is greater than an offset threshold, outputting correction guidance through an AR superposition layer; and S3, monitoring an image quality index in real time, dynamically adjusting exposure parameters through a reinforcement learning model, and when a metal implant is detected, switching a dual-energy-spectrum mode and executing an artifact suppression algorithm. According to the method, preoperative precise planning and intraoperative assistance are realized through artificial intelligence, the problems of poor image quality and high radiation risk are solved through technical optimization, and the method has important clinical application value.

The invention provides a shoulder joint replacement surgery navigation system and method, and relates to the technical field of computers, and the system comprises a controller and a navigation positioning device; the controller is in communication connection with the navigation positioning device; the controller comprises a preoperative planning module, a preoperative simulation module and an intra-operative execution module. According to the navigation system and method for the shoulder joint replacement surgery, by combining the preoperative medical image of the affected bone and the medical image of the healthy bone corresponding to the affected bone, the healthy form of the affected bone can be reflected more accurately under the condition that the affected bone has bone defect and / or abnormal form, and then prosthesis planning can be conducted based on the three-dimensional bone model of the affected bone, so that the patient experience is improved. The preoperative surgical planning is more objective and quantified, the movement range of the shoulder joint on the operative side of the patient after the prosthesis to be implanted is implanted into the affected bone can be simulated based on the parameter information of the prosthesis to be implanted, the accuracy and rationality of the prosthesis planning are further improved, and the accuracy and reliability of the orthopedic surgery are remarkably improved.

The embodiment of the invention discloses a surgical robot planning navigation method, device and equipment and a storage medium, and the method comprises the steps: determining a three-dimensional model of a to-be-operated region of a target object, and determining a reference moving path based on a part interaction instruction for a target part in the three-dimensional model; acquiring a robot operation instruction, and controlling a target surgical robot to move based on the surgical robot operation instruction; and under the condition that the target surgical robot abnormally moves, correcting the moving path of the target surgical robot based on the reference moving path. According to the technical scheme, the safety problem that in the prior art, when the surgical robot is operated, other tissues are likely to be touched by mistake is solved, the reference moving path can be determined through preoperative planning on the basis of the interaction instruction, the abnormal action of the surgical robot is subsequently corrected on the basis of the reference moving path, and the operation efficiency is improved. Damage to surrounding tissues in an operation is reduced, and operation safety is improved.

The invention provides a unicompartmental knee arthroplasty robot navigation and positioning system and method. The system comprises a preoperative planning module, a positioning and navigation module and a mechanical arm control module. The preoperative planning module is used for carrying out knee joint segmentation and reconstruction according to the obtained knee joint medical image, carrying out preoperative planning and determining a unicompartmental knee arthroplasty scheme; the positioning navigation module is used for registering the intraoperative solid knee joint and the preoperative knee joint three-dimensional model according to the navigator and the tracer, and tracking the poses of the osteotomy tool and the solid knee joint in real time; and the mechanical arm control module is used for planning a motion path of the mechanical arm and controlling the mechanical arm to execute the motion path. In this way, the mechanical arm can be controlled to assist in completing the osteotomy operation of unicompartmental knee arthroplasty in a preoperative planning and intraoperative optical navigation mode, and the problems that the operation level is uneven and the operation effect is not expected due to different individuals in the current manual operation are solved.

The invention discloses a virtual reality-based heart three-dimensional model construction and operation simulation guidance system. The system comprises a heart data acquisition module, a heart simulation module and a virtual operation module. A dynamic heart simulation model is constructed through a multi-modal medical data fusion technology, electro-mechanical two-way coupled heart motion simulation is achieved, and an immersive surgery scene is generated in combination with a virtual surgery interaction mechanism. The data acquisition module integrates electrocardiogram, image and physical data to form a database; the heart simulation module generates a dynamic heart model through time-frequency domain analysis, finite element modeling and a time-space coupling algorithm; and the virtual operation module supports real-time instrument operation feedback and operation effect prediction. The system can assist doctors in preoperative planning, intraoperative guidance and postoperative evaluation, and the accuracy and safety of cardiac surgery are improved.

An orthopedic surgical robot system (100) and an orthopedic surgical robot operating method. The system comprises: a preoperative planning module (101) for acquiring image data of a surgical site, reconstructing a three-dimensional model of the surgical site on the basis of the image data, and determining a preoperative planning result on the basis of the three-dimensional model; a control module (102) for acquiring the preoperative planning result, and on the basis of the preoperative planning result, controlling a navigator (103) and a robotic arm (104) to perform surgical registration, alignment, and surgical operations; and an evaluation module (105) for performing post-operative evaluation on the surgical site after the surgical operation. The orthopedic surgical robot system (100) can improve the degree of integration of an orthopedic surgical robot, and is applied to different orthopedic surgical scenes.

The invention provides a joint reconstruction full-dimensional operation planning method, system and device based on anatomy biomechanical kinematics and a computer readable storage medium. The method comprises the following steps: acquiring a hip joint CT image of a patient; performing three-dimensional reconstruction based on the hip joint CT image to obtain a hip joint three-dimensional model; performing preoperative planning based on the hip joint three-dimensional model to obtain an initial preoperative planning scheme; after a simulation operation is carried out according to the initial preoperative planning scheme, postoperative motion simulation is carried out on the hip joint femur and the hip joint pelvis, and whether the corresponding normal joint motion range can be reached or not through various motion simulation is judged; and if at least one motion simulation cannot reach the corresponding normal joint motion range, adjusting the initial preoperative planning scheme to obtain a final preoperative planning scheme. According to the embodiment of the invention, preoperative planning can be more accurately carried out.

A preoperative planning method and system for vascular intervention. The method comprises: acquiring a vascular lesion image of a patient (100); performing image segmentation on the vascular lesion image to obtain a plurality of two-dimensional images (200), the plurality of two-dimensional images corresponding to a plurality of different tissues or structures; generating lesion three-dimensional data on the basis of the plurality of two-dimensional images (300); generating a vascular interventional surgical plan on the basis of the lesion three-dimensional data and surgical instrument parameters (400), the vascular interventional surgical plan comprising surgical instrument models, a use order and an instrument path; making a lesion simulation model on the basis of the lesion three-dimensional data (500); and performing in-vitro practice or actual surgery on the basis of the vascular interventional surgical plan and the lesion simulation model, and learning and adjusting the vascular interventional surgical plan in real time on the basis of an in-vitro practice result or an actual surgical condition (600). Thus, a surgeon can fully know the condition of a patient's lesion before surgery, thereby improving the accuracy of a vascular interventional surgical plan, and further improving the safety of surgery.

The invention provides a tibial prosthesis preoperative planning method and device, electronic equipment and a storage medium, a tibial condyle region point set is obtained by combining an operative side condyle region point set and a normal condyle region point set, a tibial coordinate system is constructed according to the tibial condyle region point set, a final reference point of a prosthesis posture is calculated in the tibial coordinate system, and the final reference point of the prosthesis posture is calculated according to the final reference point. The method comprises the following steps: acquiring a final reference point of a prosthesis posture, calculating the size of an operation-side condyle prosthesis region according to the final reference point of the prosthesis posture, and matching an optimal prosthesis body size and an optimal mounting posture according to the size of the operation-side condyle prosthesis region, so that feature information of a normal condyle is effectively utilized to assist in modeling, a more reasonable tibia coordinate system is constructed, and the accuracy of the model is improved. And the accuracy of prosthesis type matching and prosthesis posture planning is improved.

The invention relates to a myocardial resection area determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a heart scanning image, and determining a heart three-dimensional model according to the heart scanning image; determining a heart short-axis section and a heart long-axis section according to the heart three-dimensional model; the clock direction angle of the scalpel is determined on the short axis section of the heart; based on the clock direction angle, the excision depth of the scalpel is determined on the long-axis section of the heart; and performing myocardial resection on the heart three-dimensional model according to the clock direction angle and the resection depth through a scalpel model, determining an updated three-dimensional model after myocardial resection, and marking a resection area on the updated three-dimensional model. According to the scheme, accurate preoperative planning guidance and comprehensive heart structure information presentation are provided for the myocardial rotary cutting operation, and therefore the accuracy and safety of the myocardial rotary cutting operation are improved.

The invention provides an implant immediate denture precise manufacturing system based on preoperative planning and three-dimensional registration. An example method includes obtaining first oral data, the first oral data including three-dimensional data of a denture model and three-dimensional data of a marker; acquiring second oral cavity data, wherein the second oral cavity data comprises scanning data of a plurality of bases fixed in the oral cavity and a marker; registering the first scanning data and the second scanning data based on the matching of the three-dimensional data of the marker and the scanning data of the marker; a denture model to be processed is generated based on a result of the registration, the denture model to be processed comprising three-dimensional data of the denture model and positioning information of a plurality of holes, each hole being for accommodating one of the plurality of abutment. According to the embodiment of the invention, the accurate positioning of the false tooth model and the abutment is realized by using a digital technology, the accurate matching of the false tooth and the abutment is ensured, and the comfort and experience of a dental implant patient are improved.

The invention provides a multi-disease artificial intelligence preoperative planning system for the whole orthopedics department, and the system comprises an importing module which is used for importing medical image data; the three-dimensional reconstruction module is used for establishing a corresponding three-dimensional image model according to the medical image data; the skeleton segmentation module is used for segmenting skeletons in the medical image data; and at least three of the following modules: a hip joint simulation module; a knee joint simulation module; a spine joint simulation module; a sports medicine simulation module; and a trauma operation simulation module. According to the pre-operation planning system, the multiple operation simulation modules are arranged and correspond to different types of orthopedic operations, and therefore the coverage range of the pre-operation planning system is greatly enlarged.

The invention discloses a thoracoscope-assisted intelligent navigation system and method for thoracic surgery, and the method comprises the steps: recording the respiratory capacity of a patient and shooting a focus image in a breathing state, precisely calculating the position change amplitude and range of a focus in a breathing process, and drawing a dynamic graph for visual presentation; selecting an electromagnetic navigation system positioning method and performing preoperative planning according to lesion characteristics and positions, and adopting a transbronchial or transthoracic navigation positioning technology; wherein different anatomical regions of a human body are divided according to the focus position and the anatomical structure, a navigation path algorithm is planned for each anatomical region, parameters of the electromagnetic navigation system are adjusted according to the characteristics of tissues passed by the navigation path, and final positioning is confirmed; the television is combined with the thoracoscope to assist the thoracoscope, so that the focus is accurately marked and cut off; according to the method, the safety and success rate of the operation are improved, operation wounds are reduced, better treatment effect and experience are brought to patients, and the method conforms to the development trend of precision and intelligence of the medical technology.

The invention discloses a spatial registration and image fusion method for deep learning based on SS-OCT and TOF data, relates to the technical field of multi-modal medical image processing, and aims to improve alignment and fusion effects based on SS-OCT and TOF blood vessel data. According to the method, firstly, blood vessel features are enhanced through preprocessing, precise registration and fusion of cross-modal data are achieved by combining high-resolution two-dimensional tomography of SS-OCT and three-dimensional blood vessel form data of TOF and utilizing an improved SIFT algorithm and a cross attention Transformer model, and finally a high-precision three-dimensional blood vessel model is generated and can be used for treating cerebrovascular diseases (such as cerebrovascular diseases). Image support with details and a global structure is provided for preoperative planning and intraoperative navigation of a patient (such as aneurysm and stenosis), and the accuracy of diagnosis and treatment is remarkably improved.

The invention provides a multi-disease artificial intelligence surgical robot system for the whole orthopedics department, and the system comprises a total hip joint replacement module which is used for preoperative planning, intraoperative total hip joint replacement and real-time display; the total knee joint replacement module is used for preoperative planning, intraoperative total knee joint replacement and real-time display; the unicondylar joint replacement module is used for preoperative planning, intraoperative unicondylar joint replacement and real-time display; the acetabulum periphery osteotomy module is used for pre-operation planning, acetabulum periphery osteotomy during operation and real-time display; the sports medicine module is used for bone tunnel planning and ligament reconstruction and real-time display; the spine screw placement positioning navigation module is used for positioning navigation and real-time display of intraoperative spine screw placement; and the trauma positioning and navigation module is used for performing trauma positioning and navigation and real-time display during operation. According to the embodiment of the invention, the auxiliary operation can be quickly and accurately carried out.

The embodiment of the invention is suitable for the technical field of computer-aided medical treatment and surgical planning, and provides a single-condyle surgical prosthesis planning method and device and computer device.The method comprises the steps that parameter information of a prosthesis to be planned is obtained, and the parameter information comprises the osteotomy amount; according to the parameter information, determining a placement position of the prosthesis in a pre-constructed three-dimensional model; calculating a coverage rate between a prosthesis section and a corresponding bone section in the three-dimensional model when the prosthesis is located at the placement position; according to the coverage rate, a target prosthesis is determined from the multiple to-be-planned prostheses, and preoperative planning of the unicompartmental condyle operation is carried out based on the target prosthesis. By the adoption of the method, the posture of the prosthesis can be automatically planned according to the osteotomy amount of the prosthesis, then the optimal prosthesis is selected for preoperative planning through calculation of the coverage rate of the section of the prosthesis, and the precision and safety of single-condyle surgery prosthesis planning are guaranteed.

The invention relates to a three-dimensional lower jawbone image restoration method based on comparative learning prior and mask autoregression. The method comprises the following steps: acquiring a maxillofacial region three-dimensional CT image of a patient; for the image of the mandible of the patient, respectively obtaining coarse repair results on a coronal plane, a sagittal plane and a cross section through a two-dimensional repair model; the two-dimensional repair model and the mask autoregression strategy are adopted, comparison learning loss is added, global sample feature information is obtained by using a pre-trained ViT model, and the lambda model is guided to complete intra-layer repair of global information and local fine-grained information; and fusing the coarse repair results of different layers obtained by the two-dimensional model by adopting a fine repair module based on residual fusion to obtain a three-dimensional repair result. Compared with the prior art, the method has the advantages that the deep learning technology is utilized, a brand new medical image restoration algorithm is constructed, the full-automatic restoration result of the maxillofacial region three-dimensional CT is achieved, and effective assistance is provided for preoperative accurate planning.

The embodiment of the invention is suitable for the technical field of computer-aided medical treatment, and provides a preoperative planning method and planning equipment for a hip joint cushion block prosthesis, and the method comprises the steps: obtaining hip joint image data, and reconstructing according to the hip joint image data to obtain a hip bone three-dimensional model; prosthesis parameters of a hip joint cushion block prosthesis to be implanted are obtained; establishing a hip bone three-dimensional model coordinate system based on the hip bone three-dimensional model; according to the prosthesis parameters, simulating and displaying the hip joint cushion block prosthesis in the hip bone three-dimensional model; and generating preoperative planning information of the hip joint cushion block prosthesis based on the hip joint cushion block prosthesis which is displayed in a simulation manner. By the adoption of the method, the proper placement position and angle of the hip joint cushion block prosthesis can be accurately planned, the accuracy of prosthesis matching is improved, and the success rate of an operation is increased.

The invention belongs to the technical field of biomedical engineering, and discloses a preoperative human body intelligent positioning system for medical images, which comprises a data standardization unit for setting a sampling frequency based on a preset respiratory gating signal, collecting multi-modal image data of a patient according to the sampling frequency, and storing the multi-modal image data in a database; processing by using a point location matching method to obtain standardized multi-modal image data; the deformation tracking unit is used for carrying out difference operation and squaring on gray values of different position points in the standardized multi-mode image data to obtain different error squares; combining all error squares to obtain an error square matrix, and generating an error distribution thermodynamic diagram based on the error square matrix; inferring tissue deformation through an error distribution thermodynamic diagram, and updating tissue deformation field parameters by adopting an optimization algorithm; the accuracy and individuation level of preoperative planning are improved, the dynamic assistance and real-time compensation capability can be provided in the operation, and finally high-precision, low-risk and intelligent human body preoperative positioning and navigation are achieved.

Systems and methods for fully automated anatomical analysis of an anatomical structure are provided to facilitate pre-operative planning. The computerized method may include obtaining a plurality of images, e.g., MSCT images, of patient-specific cardiovascular anatomy, and analyzing the MSCT images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure. For example, the trained artificial intelligence module may execute segmentation, point detection, curve detection, or plane detection deep learning modules, independently or in combination, to identify the anatomical landmarks. The method further may include deriving anatomical measurements of the one or more identified anatomical landmarks, and displaying the virtual three-dimensional model alongside the anatomical measurements of the one or more identified anatomical landmarks.

The invention relates to a double-channel lung lesion biopsy robot and a control method, and relates to the technical field of surgical instruments / minimally invasive surgery robots, the double-channel lung lesion biopsy robot comprises a first positioning mechanical arm, a second positioning mechanical arm, a first instrument driving mechanical arm, a second instrument driving mechanical arm, a bronchoscope and a puncture needle, the first positioning mechanical arm and the first instrument driving mechanical arm are used for automatically or manually positioning the bronchoscope to the focus position, and the second positioning mechanical arm and the second instrument driving mechanical arm are used for controlling the puncture needle to implement puncture biopsy through the chest wall. The problem that an existing surgical robot technology cannot be completely suitable for the whole lung when applied to lung lesion biopsy is solved, two biopsy channels are planned at the same time in a unified preoperative planning mode, and image data information obtained through a bronchial channel is used for focus position correction; and an integrated double-arm structure and a seamless switching control mode are designed, so that biopsy of the whole lung focus is completed more accurately in a one-stop mode.

A method and system for computer assisted orthopedic feedback of at least one surgical object relative a pre-operative plan are disclosed. The pre-operative plan includes a virtual object, which is the virtual representation of the surgical object, and a virtual structure, which is the virtual representation of the patient structure. The method comprises providing the pre-operative plan including planned position and orientation of the virtual object relative to of the virtual structure; obtaining the position of the patient structure based on a surface of the patient structure using a surgical navigation system; obtaining the position of the surgical object using the surgical navigation system; registering the patient structure to the virtual structure and the surgical object to the virtual object; tracking a current position and orientation of the surgical object using the surgical navigation system; and providing feedback of a current position and orientation of the surgical object relative to the planned position and orientation of the virtual object based on the tracked current position and orientation of the surgical object.

The invention discloses a medical image intelligent diagnosis and three-dimensional visualization interaction method and system based on artificial intelligence and Unreal Engine. The system is composed of a data acquisition module, an artificial intelligence analysis module, a three-dimensional reconstruction module, a rendering interaction module and a report generation module. The method comprises the following steps: firstly, carrying out voxel normalization on a DICOM / NIfTI image; the improved 3D U-Net is combined with CBAM attention and WGAN-GP training, and a focus initial density field is output; an AI enhanced implicit voxel reconstruction (AEIVR) algorithm is proposed, an enhanced density field is generated by using position coding + MLP, and grid extraction is completed by using improved Marking Cubes of a dynamic threshold; high-fidelity real-time rendering is realized in combination with a Nand micro polygon and Lumen global illumination in Unreal Engine, and VR / AR interaction and virtual surgery (real-time updating of resection mask driving) are supported. According to the method, the problems of large artifacts and insufficient interactivity and real-time performance of existing two-dimensional output and three-dimensional reconstruction are solved, and the end-to-end segmentation-reconstruction-rendering-interaction-reporting process is realized. On typical CT / MRI data, the segmentation Dice is about 0.90-0.94, the reconstruction voxel resolution is 0.1-0.5 mm, the artifacts are reduced by about 20%-30%, the PSNR is improved by about 3-7 dB, and the rendering interaction delay lt is achieved; the system is suitable for scenes such as lung CT, brain MRI, orthopaedic X-ray and cardiac ultrasound, and can be expanded to preoperative planning, remote consultation and teaching.

Disclosed herein is a system and method for performing pre-operative planning of total joint arthroplasty. The planning tool builds a model and analyzes and visualizes movement of the joint for various selections of implant models and placement of the components on the implants on the patient's anatomy. The tool also analyzes and visualizes motions of the joint during common activities of daily living and analyzes and functional ranges. The tool provides real time clinically relevant parameters to inform pre-surgery planning. The tool provides screw orientation visualization.

The invention relates to the technical field of edge segmentation, in particular to a tumor interventional therapy preoperative planning system based on artificial intelligence image recognition, and the method comprises the steps: preliminarily screening out an infiltration edge region based on the gray distribution asymmetry condition of a sliding window in a CT image and the texture disorder condition in an MRI image; further fusing DSA blood vessel data, and screening a concerned infiltration region by analyzing the position distribution condition of the blood vessel region of the infiltration edge region; analyzing curvature mutation conditions of the tumor associated blood vessel segments on the basis of the concerned infiltration region to generate a blood vessel anomaly index; and finally, fusing the infiltration index and the blood vessel characteristics to construct a blood vessel-infiltration coupling index, and correcting the edge strength map according to the blood vessel-infiltration coupling index, so that the boundary optimization based on risk classification is realized, the accuracy of the obtained tumor region edge structure curve is higher, and the accuracy of tumor region segmentation according to the tumor region edge structure curve is improved.

The invention relates to the technical field related to ultrasonic detection, in particular to a method and a device for acquiring an angle of a transesophageal ultrasonic image in a preoperative CT image guidance operation. The method comprises the following steps: acquiring a heart and esophagus cutting model based on a CT image; the heart and esophagus cutting model comprises a heart model and an esophagus model; determining a long-axis section of the heart based on the heart model; determining an esophagus center line based on the esophagus model; selecting a point closest to the long-axis tangent plane in the central line of the esophagus as an ultrasonic irradiation position; the long-axis section of the heart is corrected based on the ultrasonic irradiation position, so that the long-axis section passes through the ultrasonic irradiation position, and the corrected long-axis section is obtained; and determining the angle of the ultrasonic probe based on the corrected long-axis tangent plane and the tangent plane of the esophageal center line at the ultrasonic irradiation position. By means of the arrangement, a doctor can obtain the intraoperative ultrasonic irradiation angle during preoperative planning, and the operation is more accurate and normative.

A multi-module collaborative real-time decision planning system for a surgical robot comprises eight modules including a data acquisition and processing module, a system modeling module, a preoperative planning module, a neural network module, a decision planning module, an execution control module, an autonomous obstacle avoidance module and an autonomous evaluation module. The system obtains robot state and operation environment information in real time through multiple sensors, and constructs an operation environment and motion model; the inverse kinematics is solved by using a neural network, and the multi-solution problem of the inverse kinematics is solved; the preoperative planning module identifies key points and generates an initial path, the decision planning module dynamically adjusts the path in combination with joint constraints, and the execution control module controls the robot to act in a closed-loop mode according to instructions and corrects the relation between force and current in real time; the autonomous obstacle avoidance module monitors the current of a driving motor to realize collision detection and path adjustment; and the autonomous evaluation module continuously evaluates the operation quality through a reward function and feeds back optimization. The system can significantly improve the real-time performance, precision and safety of the surgical robot in a complex environment, and is suitable for the fields of medical treatment, industry, space exploration and the like.

The embodiment of the invention is suitable for the technical field of medical treatment, and provides a preoperative planning method and medical device.The method comprises the steps that according to a first three-dimensional model corresponding to a target skeleton, the feature axis of the target skeleton and the feature point of the target skeleton are determined; according to a preset space coordinate system and the feature axis of the target skeleton, adjusting the pose of the target skeleton of the first three-dimensional model to obtain a second three-dimensional model; and determining a target osteotomy direction and a target osteotomy position in the second three-dimensional model according to the feature points, the feature axis and the osteotomy planning parameters. By adopting the method, the time required by the knee joint replacement operation can be shortened.

The invention discloses a CT (Computed Tomography) guided needle biopsy method based on a recursive deformable non-rigid registration network. The CT guided needle biopsy method comprises the following steps: S1, collecting and enhancing a training data set; s2, training a recursive deformable non-rigid pyramid registration network; s3, training a target tissue segmentation network; s4, deploying a registration network and preparing the network before the operation; and S5, performing real-time registration in the operation. By means of the highlight display technology for the target tissue in the target focus, whether the taken tissue is the target tissue of the preoperative plan or not can be helped to be confirmed after an operation, so that the success rate and efficiency of puncture are improved, and unnecessary secondary biopsy is reduced.

The invention discloses a hypertrophic cardiomyopathy (HCM) preoperative planning and operation effect evaluation method based on accurate digital labeling. The method comprises the following steps: performing digital labeling on the thickness of each wall of a left ventricle of a preoperative heart 3D digital model; according to the digital labeling result of the preoperative heart 3D digital model and the normal value of the thickness of the left ventricular wall, a doctor manually depicts the predicted resection range and confirms the predicted retention thickness; measuring the predicted resection volume, the predicted resection area and the left ventricular end diastolic volume after the predicted resection volume is resected; digitally marking the thickness of each wall of the left ventricle of the postoperative heart 3D digital model, and measuring the volume of the corresponding left ventricle in the end diastole; and taking the predicted resection range, the predicted retention thickness, the predicted resection volume, the predicted resection area and the predicted volume as first evaluation data, taking corresponding parameters of the postoperative heart 3D digital model as second evaluation data, and generating an operation evaluation result according to the conformity of the first evaluation data and the second evaluation data.