CN-121999115-A - ICL post-implantation structure prediction system based on 3D reconstruction

Abstract

The invention provides a 3D reconstruction-based ICL post-implantation structure prediction system, which can reconstruct a 3D model of a patient eye structure through OCT examination and UBM examination results before ICL implantation, simulate ICLs of different shapes/sizes based on a database and an algorithm in the system, implant the eye structures with different operation schemes, analyze the prediction results, avoid bad post-operation eye structures, select the optimal ICL shape and operation scheme in the prediction results, reconstruct the 3D model of the ICL post-implantation eye structure through UBM examination and OCT examination results after ICL implantation, incorporate the reconstructed model into the database together with the 3D model of the corresponding patient eye structure before ICL implantation, correct the prediction algorithm, and further improve the accuracy of 3D reconstruction and prediction. The prediction system can help a surgeon to perform the most preferred operation mode according to different patient conditions before operation, thereby improving the operation effect and avoiding postoperative complications.

Inventors

• ZHOU SHENG
• YANG JING
• ZOU ZONGYIN

Assignees

• 周胜
• 杨静
• 邹宗寅

Dates

Publication Date

20260508

Application Date

20241102

Claims (7)

1. 1. An ICL post-implantation structure prediction system based on 3D reconstruction, comprising the steps of: s1, reconstructing a 3D model of the eye structure of a patient through OCT examination and UBM examination results before ICL implantation; s2, simulating ICLs with different shapes/sizes based on a database and an algorithm in the system, and implanting eye structures with different surgical schemes; S3, analyzing the prediction result, avoiding bad postoperative eye structures, and selecting the optimal ICL shape and operation scheme in the prediction result; s4, reconstructing a 3D model of the eye structure after ICL implantation through UBM inspection and OCT inspection results after ICL implantation, and incorporating the reconstructed model and the 3D model of the eye structure of the corresponding patient before ICL implantation into a database together, and correcting a prediction algorithm.
2. 2. The 3D reconstruction-based ICL post-implantation structure prediction system according to claim 1, wherein the 3D model reconstruction of the patient 'S eye structure in step S1 is to measure and collect axial distance or range information of the eye structure by OCT examination, thereby constructing a tomographic image, and further reconstructing the eye structure of the patient' S site related to the ICL surgery based on the tomographic image 3D.
3. 3. The 3D reconstruction-based ICL post-implantation structure prediction system according to claim 1, wherein the 3D model of the patient 'S eye structure is reconstructed in step S1, or the eye structure parameters are measured and collected by UBM examination, particularly, the parts with low definition of OCT examination, including but not limited to ciliary body morphology, ciliary sulcus morphology, iris ciliary body included angle, trabecular meshwork ciliary body included angle, ciliary body thickness, ciliary process length, etc., are combined with the OCT examination results of the corresponding parts to reconstruct the complete 3D model of the patient' S eye structure.
4. 4. The 3D reconstruction-based ICL post implant structure prediction system as claimed in claim 1, wherein the database and algorithm in step S2 comprises a computer readable storage medium storing a computer readable program which is executed by a processor to implement the machine learning-based ICL implantation method.
5. 5. The 3D reconstruction-based ICL post-implantation structure prediction system according to claim 1, wherein the database and algorithm described in step S2 can simulate ICL of different shapes/sizes according to the 3D reconstruction data, ICL material characteristics, etc. before and after the operation, and the post-implantation eye structure according to different operation schemes including, but not limited to ICL manufacturer, model, diameter size, incision orientation, incision diameter, injector model, other operation instrument model, operation procedure, operation medication, doctor habit, etc.
6. 6. The 3D reconstruction-based ICL post-implantation structure prediction system according to claim 1, wherein the prediction result in step S3 is an ocular structure after implantation of different surgical procedures, including but not limited to ICL position, ICL angle, camber, anterior chamber angle, iris morphology, intraocular pressure, abnormal structure that may cause complications such as postoperative glaucoma or cataract.
7. 7. The 3D reconstruction-based ICL post-implantation structure prediction system according to claim 1, wherein the prediction result in step S4 is an eye structure after the implantation of the actual surgical scheme, including, but not limited to, an ICL position, an ICL angle, an arch height, an anterior chamber angle, an iris morphology, and the like, and the post-operation eye structure is incorporated into a database together with a 3D model of the eye structure of the corresponding patient before the ICL implantation, so as to modify the prediction algorithm.

Description

ICL post-implantation structure prediction system based on 3D reconstruction Technical Field The invention belongs to the technical field of 3D modeling, and particularly relates to an ICL post-implantation structure prediction system based on 3D reconstruction. Background ICL implantation, implantable Collamer Lens (posterior chamber intraocular lens with lens) implantation, is a minimally invasive procedure for correcting ametropia. ICL implantation surgery improves vision by implanting an intraocular lens behind the iris, in front of the natural lens. The operation does not cut cornea tissue, so the cornea is not damaged, and the method is suitable for patients with myopia of 50 degrees to 1800 degrees and astigmatism of less than 600 degrees. Is especially suitable for patients with high myopia, thinner cornea or unsuitable for performing cornea refractive surgery such as LASIK. Preoperative patients need to receive a complete ocular examination, including corneal topography, corneal thickness, anterior chamber depth, etc., to determine if surgery is appropriate. Surgery is typically performed under local anesthesia by making a small incision in the limbus of the cornea, injecting the folded ICL crystals into the eye and placing them behind the iris. Camber is one of the key parameters in assessing the success of ICL surgery and refers to the distance between the anterior lens surface and ICL. Too low a camber (< 250 μm) may increase the risk of cataract formation, while too high a camber (> 750 μm) may increase the risk of angle closure, pupil arrest or pigment-spreading glaucoma. Currently, using ICL manufacturer recommended calculators and two predictive formulas to predict camber and determine ICL size and implantation style remains an unresolved problem. The 3D modeling technology is a process for creating a three-dimensional digital model, and is widely applied to various fields such as construction, design, medical treatment, scientific visualization and the like. Thus, there is a great need for an ocular structure that can 3D reconstruct ICL after implantation surgery to predict camber and determine ICL size and implantation style, which is of great significance to current ICL implantation surgery. Disclosure of Invention In order to solve the technical problems, the invention provides an ICL post-implantation structure prediction system based on 3D reconstruction. The specific technical scheme of the invention is as follows: The method comprises the steps of carrying out OCT examination and UBM examination results before ICL implantation, carrying out 3D model reconstruction of a patient eye structure, wherein the 3D model reconstruction of the patient eye structure is to construct a tomographic image by measuring and collecting axial distance or range information of the eye structure through OCT examination, or to reconstruct a complete 3D model of the patient eye structure by combining UBM examination results with OCT examination results of corresponding parts by measuring and collecting eye structure parameters through UBM examination, particularly parts with lower definition of OCT examination, including but not limited to ciliary body morphology, ciliary sulcus morphology, iris ciliary body included angle, trabecular meshwork ciliary body included angle, ciliary body thickness, ciliary process length and the like. Further, based on the database and algorithm in the ICL post-implantation structure prediction system based on 3D reconstruction, ICL with different shapes/sizes is simulated, and the eye structures after implantation with different surgical schemes are simulated, wherein the database and algorithm comprises a computer readable storage medium, and the computer readable storage medium stores a computer readable program which is executed by a processor to realize the ICL implantation method based on machine learning, and ICL with different shapes/sizes can be simulated according to 3D reconstruction data, ICL material characteristics and the like before and after surgery, and the ICL with different surgical schemes, including but not limited to ICL manufacturer, model, diameter size, incision orientation, incision diameter, injector model, other surgical instruments model, surgical operation steps, intra-operative medicine, doctor habit and the like. Further, analyzing the predicted result, avoiding bad postoperative eye structure, selecting the optimal ICL shape and operation scheme in the predicted result, wherein the predicted result is the eye structure implanted by different operation schemes, including but not limited to ICL position, ICL angle, camber, anterior chamber angle, iris morphology, intraocular pressure, and abnormal structure possibly causing postoperative glaucoma or cataract. Further, after ICL implantation, 3D model reconstruction of the eye structure of the patient is carried out through UBM inspection and OCT inspection results, the reconstructed model and th