June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Personalized patient interface for optimal alignment with ophthalmic devices for remote monitoring
Author Affiliations & Notes
  • Mahsa Darvishzadeh Varcheie
    Carl Zeiss Meditec, Inc., Dublin, California, United States
  • Simon Antonio Bello
    Carl Zeiss Meditec, Inc., Dublin, California, United States
  • Gabrielle Zacks
    Carl Zeiss Meditec, Inc., Dublin, California, United States
  • Kabir Arianta
    Carl Zeiss Meditec, Inc., Dublin, California, United States
  • Jochen Straub
    Carl Zeiss Meditec, Inc., Dublin, California, United States
  • Footnotes
    Commercial Relationships   Mahsa Darvishzadeh Varcheie Carl Zeiss Meditec, Inc., Code E (Employment); Simon Bello Carl Zeiss Meditec, Inc., Code E (Employment); Gabrielle Zacks Carl Zeiss Meditec, Inc., Code E (Employment); Kabir Arianta Carl Zeiss Meditec, Inc., Code E (Employment); Jochen Straub Carl Zeiss Meditec, Inc., Code E (Employment)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 1415 – A0111. doi:
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      Mahsa Darvishzadeh Varcheie, Simon Antonio Bello, Gabrielle Zacks, Kabir Arianta, Jochen Straub; Personalized patient interface for optimal alignment with ophthalmic devices for remote monitoring. Invest. Ophthalmol. Vis. Sci. 2022;63(7):1415 – A0111.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Patient alignment is a crucial step to obtain acceptable image quality using ophthalmic devices. Alignment is traditionally done by an ophthalmic technician or by an automated system, which requires operator training and can be expensive to manufacture. In this work, we explore the feasibility of a repeatable and easy-to-use self-alignment solution.

Methods : An iPhone X (Apple, Cupertino, CA) was used to acquire a point cloud of participants’ faces, which served as the basis for a 3D printed, personalized patient interface (PPI). The PPI was installed on a low-cost OCT prototype system [Zacks et al. IOVS 2021; 62(8):2135] with self-triggered scan acquisition (ZEISS, Dublin, CA). The PPI creates a comfortable face-rest that restricts the subject’s motion while yielding repeatable positioning of the eye in relationship to the system. A fixation target was used to guide the subject’s gaze. Initial alignment of the system to the subject’s pupil was executed by an experienced technician, after which, the optical system’s lateral coordinates, reference arm position and refractive error correction were locked. Subsequently, subjects were asked to self-acquire 3 OCT scans on each eye, retracting from the PPI between images. The system captured 5.78 x 5.78 mm OCT volumes with 512 A-scans/B-scan, 128 B-scans and 2.77 mm of depth. A subject matter expert evaluated the OCT cubes and quality maps [Bello et al. IOVS 2021; 62(8):1881] of all acquired scans to determine the PPI self-alignment success rate. Subjects with a range of ocular pathologies, including age-related macular degeneration were recruited under IRB.

Results : A total of 96 OCT scans from 32 eyes (19 subjects) were self-acquired. In 15 scans misalignment in one or more directions caused image quality to be compromised, resulting in a 0.1562 (0.0901, 0.2445) proportion with 95% confidence. 6 cases out of the 15 failed cases were from 2 eyes whose patients had trouble fixating. The other 30 eyes had at least 1 successful scan. A summary of the results and reasons for self-scan failures are shown in Table 1 and Figure 1.

Conclusions : We introduced a novel approach suitable for self-alignment using a PPI. Results show that good OCT image quality can be obtained using this approach, which could pave the way for personalized ophthalmic imaging and facilitate use cases where expert technicians are not available, such as home monitoring.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

 

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