Multimodal imaging features of intraocular foreign bodies

Rong, Andrew J.; Fan, Kenneth C.; Golshani, Behrad; Bobinski, Matthew; McGahan, John P.; Eliott, Dean; Morse, Lawrence S.; Modjtahedi, Bobeck S.

doi:10.1080/08820538.2019.1674894

Cited by 21 publications

(21 citation statements)

References 67 publications

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“…In cases with unknown IOFB composition or unclear anatomical location, imaging characteristics and measurements, such as radiodensity expressed in Hounsfield units, may guide management. 9 A study by Lagalla et al on IOFBs in enucleated pig eyes reported that metallic objects had greater than 3000 H, whereas glass was more likely to have 1000 to 1300 H. 10 In this case, it was reported the IOFB had approximately 2000 H on CT imaging. This reading was not taken as definitive, because accurate Hounsfield unit determination may have been limited by the small size of the particles.…”

Section: Discussionmentioning

confidence: 65%

Bilateral iPhone Gorilla Glass Intraocular Foreign Bodies in a Pediatric Patient

Kalavar

Levitt

Patel

et al. 2020

Journal of VitreoRetinal Diseases

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Purpose: This report discusses a case of a patient with bilateral intraocular foreign bodies after a bullet shattered his iPhone. Methods: A case report is presented. Results: The right eye vision was 20/50 and examination disclosed a limbal entry wound at 6:00, dense traumatic cataract, and vitreous hemorrhage. The left eye was 20/40 and an entry wound located roughly 4 mm posterior to the limbus was noted. Fundoscopy revealed multiple refractile particles with preretinal and vitreous hemorrhage. Computed tomography scan demonstrated hyperdensities in the vitreous cavity bilaterally. Globe closure, cataract removal, vitrectomy, and endolaser were undertaken in the right eye, while only globe closure was performed in the left eye. On latest follow-up, the patient had 20/20 corrected vision without inflammation bilaterally. Conclusion: A conservative approach led to full visual recovery, despite retained intraocular smartphone Gorilla glass.

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Section: Discussionmentioning

confidence: 65%

Bilateral iPhone Gorilla Glass Intraocular Foreign Bodies in a Pediatric Patient

Kalavar

Levitt

Patel

et al. 2020

Journal of VitreoRetinal Diseases

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“…(1) Get scene information: my position, the people around me (teammates, mudguards), the position of the ball, the people who control the ball, the referee in the game, the audience, the venue environment, and other objective information [7] (2) Analyze scene information: quickly summarize, integrate, and analyze all objective factors (3) Make a decision: according to the analysis results, make decisions that bring benefits to the team (4) Effective action: according to their own decisions, quickly perform the corresponding actions [8] (5) Effect evaluation and feedback: please evaluate your actions and use your brain to respond quickly In football, the processing time is very short. If the processing time of each "microprocess" is long, the performance level of football will be improved.…”

Section: "Microprocess" Analysis Of Learning Quality In Footballmentioning

confidence: 99%

Human Motion Recognition Based on Multimodal Characteristics of Learning Quality in Football Scene

Gao

2021

Mathematical Problems in Engineering

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The task of human motion recognition based on video is widely concerned, and its research results have been widely used in intelligent human-computer interaction, virtual reality, intelligent monitoring, security, multimedia content analysis, etc. The purpose of this study is to explore the human action recognition in the football scene combined with learning quality related multimodal features. The method used in this study is to select BN-Inception as the underlying feature extraction network and use uncontrolled environment and real world to capture datasets UCFl01 and HMDB51, and pretraining is carried out on the ImageNet dataset. The spatial depth convolution network takes image frame as input, and the temporal depth convolution network takes stacked optical flow as input to carry out human action multimodal identification. In the results of multimodal feature fusion, the accuracy of UCFl01 dataset is generally high, all of which are over 80%, and the highest is 95.2%, while the accuracy of HMDB51 dataset is about 70%, and the lowest is only 56.3%. It can be concluded that the method of this study has higher accuracy and better effect in multimodal feature acquisition, and the accuracy of single-mode feature recognition is significantly lower than that of multimodal feature recognition. It provides an effective method for the multimodal feature of human motion recognition in the scene of football or sports.

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“…11,12 UHFUS (also known as ultrasound biomicroscopy) was first postulated in the late 1930s by Sokolov 13 and later developed to produce systems capable of scanning structures at 100 MHz in microscopic biological targets. 14 Clinical research was mainly targeted to ophthalmology, 15 dermatology, 16 and intravascular ultrasound 17 with frequencies up to 60 MHz. 18 Overall, transducers are the most important part of the ultrasound system, and their performance is determined by their frequency and geometry and their relationship with the insonated tissue, according to the laws of diffraction.…”

Section: Ultrasound Technologymentioning

confidence: 99%

High-Frequency and Ultra-High Frequency Ultrasound: Musculoskeletal Imaging up to 70 MHz

Albano

Aringhieri

Messina

et al. 2020

Semin Musculoskelet Radiol

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Musculoskeletal (MSK) ultrasound has well-established advantages, able to investigate very small structures with high resolution and a quick and real-time dynamic evaluation with the possibility of contralateral comparison. Thus ultrasound has kept its own almost exclusive fields of application in daily clinical practice, and it is considered the first-level imaging technique to assess tendons, bursae, and capsuloligamentous structures of small peripheral joints as well as peripheral nerves. Up to now, however, clinical MSK ultrasound imaging could not go beyond the first 1 to 2 cm under the skin, using high-frequency probes up to 18 to 20 MHz with spatial resolution just below millimeters. We present the impressive technical advancements leading to image resolution as low as 30 µm using ultra-high frequency ultrasound (UHFUS) probes up to 70 MHz. High-frequency ultrasound and UHFUS, with frequencies ranging from 22 to 70 MHz, are promising tools to evaluate very superficial structures. In the MSK system, only two articles have assessed its value in limited case series. Future developments may be aimed to better assess ultrastructural changes of very superficial peripheral nerves and other thin structures such as pulleys, retinacula, and tendons.

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Multimodal imaging features of intraocular foreign bodies

Cited by 21 publications

References 67 publications

Bilateral iPhone Gorilla Glass Intraocular Foreign Bodies in a Pediatric Patient

Bilateral iPhone Gorilla Glass Intraocular Foreign Bodies in a Pediatric Patient

Human Motion Recognition Based on Multimodal Characteristics of Learning Quality in Football Scene

High-Frequency and Ultra-High Frequency Ultrasound: Musculoskeletal Imaging up to 70 MHz

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