A. DATA COLLECTION SPECIFICATIONS
Five patients underwent enucleation surgery from November 2018 to October 2020. The patients had implants in orbit. Subject inclusion criteria were no conjunctival sac or accompanied by mild inflammation, no conjunctival sac granuloma, no eyelid deformity, upper eyelid droop, lower eyelid relaxation, orbital contracture, rabbit eye deformity and other complications.
B. MATERIALS
Elastomer impression material (Vinylpolysiloxane Impression Material Light Body, the United States I - SiL company). Binocular Blue ray 3D scanner (Shenzhen Nanke 3D Technology Co., LTD). Main performance indicators: Single amplitude measurement range (mm): 100×75; Single amplitude measurement accuracy: 0.01 ~ 0.015; Sampling point distance: 0.06. Geomagic studio software (v2013, USA), Rhinoceros software (5.0, USA), Metlab Software (R2016b, USA). Desktop 3D printer independently developed by Zhejiang Key Laboratory of 3D Printing Technology and Equipment. Polylactic Acid (PLA) line (Shenzhen Eisendi technology co., LTD). Gel impression tray.
C. METHODS
1. Take conjunctival sac gel impression.
Sit the patient in a chair. The mold places the mixture in the syringe. Connect the die plate to the syringe. When the impression plate is placed over the eye, the patient is instructed to gaze down with the eye and the impression plate is inserted first into the fornix under the upper eyelid and then into the lower eyelid. Gently injection molding material, slow movement to avoid bubbles. Patients are asked to close their eyes so excess material can flow out through the perforation of the tray. While the mold is being taken, have the patient make eye movements, moving the eyes in the back. The impression material will solidify in two minutes. Take out the solidified gel model.
2. Design 3D models of COPs.
(a) Conduct 3D scanning of the conjunctival sac gel model. A binocular blue ray 3D scanner (as shown in Figure 1) was used to scan the conjunctival sac gel impression to obtain 3D point cloud data stored in .wrl format. In the software Geomagic studio, the point cloud was processed with noise removal and surface smoothing, etc., and the model of gel impression was reconstructed. (b) Model measurement: The Geomagicstudiov2013 software measured the 3D scanning reconstruction model of the conjunctival sac impression, including the gel model height (mm), gel model thickness (mm) and gel model base area (mm2). (c) 3D model design: In Rhinoceros5.0 software, based on the original model, the surrounding contour was projected from the top view and adjusted, and the initially repaired bottom contour was obtained. Similarly, the contour is obtained from the side view projection (as shown in Figure 1). Combined with the shape of the finished prosthesis as a reference, the contour lines obtained from the above two steps were extracted and modified to obtain the bottom contour and the side contour after repair. Using the obtained contour line, the eye model is obtained by rotating sweep based on the contour line.
3. 3D printing of the COPs.
Before 3D printing, the 3D finite element model of the personalized artificial eye designed above is first converted into G code in Slic3r24, and then passed into the desktop 3D printer (as shown in Figure 1). Set the filling density as 60% and the wall thickness as 1.6mm. The PLA were extruded (at 205°C) by a heated metal nozzle (0.4mm in diameter), then moved horizontally and vertically, and deposited on the receiving table to form a prosthetic eye. This process was called as molten deposition manufacturing. The 3D printed white artificial eye is polished to make the surface smooth and the edge polished. Located the center of the pupil.
4. Computer-aided quality assessment of COPs
(a) Try on the COPs. The patients were tried on the white prosthesis to evaluate its function, and the palpebral fissure height, upper eyelid fullness, horizontal and vertical motion of the COP and the healthy eye were measured respectively. The traditional evaluation method is to manually conduct these measurements under the slit lamp with the corneal inverted spot as the target. In order to improve accuracy of measurement, we designed a computer-aided measurement program, which can accurately locate the center of the pupil. Then we evaluated the palpebral fissure height, upper eyelid fullness, horizontal and vertical mobility of prosthetic eyes and healthy eyes with the computer-aided measurement program.
(b) Assess the orbital fullness. Digital images of the lower head position of 5 patients were taken as shown in Figure 2(f), and the images were rotated and added with scales to compare the fullness between the reconstructed orbit with COPs and the healthy eyes. The evaluation was carried out by the way of doctors' and patients' scoring by questionnaire.
(c) Computer-aided assessment of the mobility of COPs. We developed a software for automatically analysising the mobility of COPs in Matlab R2016b software. For each patient, photos of different eye positions were taken, namely, the frontal, upper, lower, left, and right viewing positions. A circular sticker (red, 9mm in diameter) was placed on each patient's forehead as a reference marker. Then these five images were input into the analysis software. During the image processing, the first step is to click randomly on the red circular marker, then on the right pupil and the left pupil. The edge detection algorithm was used to determine the area of the mark, the scale was calculated according to the actual size of the mark and the pixel width occupied, and the center point position of the mark was calculated automatically. The three points were denoted by O, L and R, and the rest positions are denoted by O ', L 'and R' in the formula. Edge detection algorithm: Since the colors used by the markers are clearly distinguished from the facial colors, the RGB numerical ratio feature is used to directly define the edges and obtain the accurate edge of the markers. Determination of the diameter and center of the mark: After the edge of the mark area is obtained, the index difference of the horizontal X-axis is taken as the diameter of the mark, and the coordinate of the central point is the center of the circle:
The first calculation quantity: calculate the distance between the mark and the left and right pupil, using Euclidean distance:
The second calculation quantity: the movement distance and Angle of the pupil in each direction: since the position of each picture is different when it is taken, the coordinate position on the different picture cannot be directly calculated. Therefore, the movement distance of the pupil in each direction can be calculated by taking the mark as the reference. Calculate the two vectors and do vector subtraction to get the vector (as shown in Figure 3). Vector length is calculated directly by modular operation, and the plane Angle of the vector is calculated by rad2deg (ATAN2 (y, x)) in Matlab R2016b software. The third calculation: the area of pupillary activity. Take the four extreme activity points of the left and right eyes as the vertex, and calculate the area of the mobilty (as shown in Figure 3).
D. Ethics approval and consent to participate:
The study was conducted in accordance with the Declaration of Helsinki and approved by the Research Ethics committee of the Affiliated Eye Hospital of Wenzhou Medical University. Informed consent was obtained from all of participants before their inclusion in the study.