The Design and Manufacture of Custom Ocular Prostheses (COPs) Based on Computer-Aided Semi-automation Workflow

Background: It is important to correct the ocular disfigurement by wearing prostheses as soon as possible after healing from the eye enucleation surgery. This study aimed to develop a new computer-aided approach to fabricate custom ocular prostheses (COPs) with higher accuracy and efficiency and to fit different anophthalmia sockets. Results: Five patients underwent enucleation surgery from November 2018 to October 2020 were enrolled in the study. The semi-automatic design and fabrication workflow of COPs was based on the conjunctival sac impression, combined with Computer-aided design/Computer-aided manufacture (CAD/CAM) workflow, which involves computer image analysis, reverse engineering (RE), and 3-dimensional (3D) printing technologies. The height of palpebral fissure in the artificial eye group was 0.8000 ± 0.09529, N=5.The height of palpebral fissure in the healthy eye group was 0.7660 ± 0.1147, N=5, and there was no statistical difference between the two groups (p>0.05). The artificial eye in the conjunctival sac had a good effect on the reconstruction of orbital fullness. Both of the vertical activity and horizontal activity of COPs is smaller than that of healthy eyes (p<0.05).Conclusions: COPs made by RE and 3D printing technologies can effectively make the COPs suitable for patients' conjunctival sac. This workflow improved the accuracy of the COPs, and also reduced patients’ waiting time, which is worthy to be popularized and applied.

A prospective study of myoconjunctival enucleation for enhanced implant motility

Background: After enucleation rehabilitation and cosmesis remain the nemesis of an enophthalmic socket, the cosmetic goal is to replace the lost volume of the socket and to restore natural appearance and movement with an artificial eye. The aim of this is to determine implant motility after myoconjunctival enucleation technique.Methods: The study was conducted in 35 patients who underwent myoconjuctival enucleation at M and J Western Regional Institute of Ophthalmology, Civil Hospital, Ahmedabad from the period November 2019 to December 2021. Simple random sampling method was used and subjects were selected based on the inclusion and exclusion criteria. All patients were evaluated on 1st post-operative day, 1st week, 4th week and 12th week of surgery. Post-operative results were compared on the follow-ups in terms of motility index.Results: Average motility index (sum of medial movement, lateral movement, upward movement and downward movement divided by 4) of the 35 patients measured after first week of surgery was 3.2 mm, which was 3.21 mm in 4th week and at 12th week it was 3.23 mm.Conclusions: In contrast to conventional enucleation technique, in myoconjunctival enucleation technique each rectus is sutured to the respective fornix thus preventing stretching, increasing implant stability and motility. Thus it is considered procedure of choice in primary enucleation.

Dangerous goods identification based on multi-channel neural network

In the current society, there is an increasing demand for dangerous goods identification technology in X-ray images, but at the current stage, most of the identification of dangerous goods in X-ray images still relies on artificial eye recognition. In order to solve this problem, this paper proposes A method for automatically and intelligently identifying dangerous goods in X-ray images based on the transformation of the convolutional neural network. By adding multi-channel convolution and normalization to the convolutional neural network, the target features are extracted to achieve automatic detection of dangerous goods. The purpose of better identification. In the simulation experiment, using the public data set and self-built data set in the X-ray security inspection field, the accuracy of the identification of dangerous goods in the X-ray image was obtained more satisfactory results than the traditional dangerous goods identification. The improved Alex Net network’ s testing accuracy on contraband knives and guns is 8.53% and 11.6% higher than the training accuracy of the original Alex Net network.

Detect Oil Spill in Offshore Facility using Convolutional Neural Network and Transfer Learning

The oil spill has a detrimental effect on the environment due to its pollution and long-term damage to sea wildlife. As the facility ages, the pipeline leak may increase as integrity reduces due to corrosion or erosion and worsens by minimal maintenance activity. To detect the oil leak, some assessments in the United States statistically found that leak detection system (LDS) effectiveness is less than 20% based on Aloqaily and Arafat (2018). Probably, LDS might not always give a satisfactory result to detect leaks and oil spills and may need to rely on other manual surveillance. Nevertheless, due to limited personnel and the large area of interest, oil spill usually goes undetected until local people and fishermen report it. In an oil spill case, having an early notification is crucial to limiting the leakage and improving mitigation time. To put it in perspective, one of the largest oil spills is the Deepwater Horizon, with an estimation of oil discharged around 4.1 – 4.9 million bbls, and legal fees cost up to 61.6 billion dollars. Looking at this number, we can estimate how important it is to stop oil spills at the very initial of occurrence to minimize environmental damage. This paper aims to exhibit a new approach in oil spill detection using deep convolutional neural networks and transfer learning. We develop an “artificial eye” to automatically classify the surrounding image and identify external manifestations to detect oil spills. We offer a concept upon how we leverage artificial intelligence to automatically classify a stream of the picture, whether it is an oil spill or not. Furthermore, we introduce an IoT and drone technology concept to maximize it to survey the pipeline path regularly. The image captured by these devices is then fed through a deep learning classifier model that decides whether the leak is present or not. By utilizing this technology, we hope to create automatic early notification if leakage occurs so that the oil spill combat team can cure the problem as fast as possible before the leak expands further.

Small head movements increase and colour noise in data from five video-based P–CR eye trackers

We empirically investigate the role of small, almost imperceptible balance and breathing movements of the head on the level and colour of noise in data from five commercial video-based P-CR eye trackers. By comparing noise from recordings with completely static artificial eyes to noise from recordings where the artificial eyes are worn by humans, we show that very small head movements increase levels and colouring of the noise in data recorded from all five eye trackers in this study. This increase of noise levels is seen not only in the gaze signal, but also in the P and CR signals of the eye trackers that provide these camera image features. The P and CR signals of the SMI eye trackers correlate strongly during small head movements, but less so or not at all when the head is completely still, indicating that head movements are registered by the P and CR images in the eye camera. By recording with artificial eyes, we can also show that the pupil size artefact has no major role in increasing and colouring noise. Our findings add to and replicate the observation by Niehorster et al., (2021) that lowpass filters in video-based P–CR eye trackers colour the data. Irrespective of source, filters or head movements, coloured noise can be confused for oculomotor drift. We also find that usage of the default head restriction in the EyeLink 1000+, the EyeLink II and the HiSpeed240 result in noisier data compared to less head restriction. Researchers investigating data quality in eye trackers should consider not using the Gen 2 artificial eye from SR Research / EyeLink. Data recorded with this artificial eye are much noisier than data recorded with other artificial eyes, on average 2.2–14.5 times worse for the five eye trackers.

Conjunctival Epithelial Inclusion Cyst following Evisceration with Primary Orbital Implantation

A 29-years-old Turkish man who had undergone evisceration with primary orbital implantation 20 months prior complained of difficulty wearing his artificial eye. Slit-lamp examination revealed a conjunctival cyst in the center of the anophthalmic socket, with no evidence of scleral or orbital implant exposure. The cyst was completely excised under general anesthesia and did not require use of any sclerosing substance or dye. At 6 months postoperatively, there was no recurrence of the cyst or exposure of the sclera or orbital implant. As the upper and lower fornices were sufficiently deep, the patient could wear his artificial eye.

Unusual presentation of a choroidal melanoma

A 49-year-old gentleman presented with a 1-day history of painful deterioration of vision in his right eye. He was lifting heavy weights just before this visual loss. On examination, his vision was perception of light in that eye, with a medically uncontrollable high intraocular pressure and hyphaema almost completely filling his anterior chamber. An ultrasound performed suggested a working diagnosis of a Valsalva related ‘eight ball’ bleed. After an anterior chamber washout, he had another episode of bleeding three days later. A pars plana vitrectomy was performed and the sample obtained was sent off to the laboratory, revealing a choroidal melanoma. Following enucleation, the histology confirmed a large necrotic spindle cell melanoma, with a haemorrhagic background. Fortunately, no liver metastasis was found. Since his diagnosis 3 years ago, he continues to be followed up in an artificial eye clinic and has regular liver scans under the care of his oncologist.

The Design and Manufacture of Custom Ocular Prostheses (COPs) Based on Computer-Aided Semi-automation Workflow

Background It is important to correct the ocular disfigurement by wearing prostheses as soon as possible after healing from the eye enucleation surgery. This study aimed to develop a new computer-aided approach to fabricate custom ocular prostheses (COPs) with higher accuracy and efficiency and to fit different anophthalmia sockets. Results Five patients underwent enucleation surgery from November 2018 to October 2020 were enrolled in the study. The semi-automatic design and fabrication workflow of COPs was based on the conjunctival sac impression, combined with Computer-aided design/Computer-aided manufacture (CAD/CAM) workflow, which involves computer image analysis, reverse engineering (RE), and 3-dimensional (3D) printing technologies. The height of palpebral fissure in the artificial eye group was 0.8000 ± 0.09529, N = 5.The height of palpebral fissure in the healthy eye group was 0.7660 ± 0.1147, N = 5, and there was no statistical difference between the two groups (p > 0.05). The artificial eye in the conjunctival sac had a good effect on the reconstruction of orbital fullness. Both of the vertical activity and horizontal activity of COPs is smaller than that of healthy eyes (p < 0.05). Conclusions COPs made by RE and 3D printing technologies can effectively make the COPs suitable for patients' conjunctival sac. This workflow improved the accuracy of the COPs, and also reduced patients’ waiting time, which is worthy to be popularized and applied.