Evidence map›Paper›PMID 26137393›Full record

ArticleBiomedical optics express2015

Accurate real-time depth control for CP-SSOCT distal sensor based handheld microsurgery tools.

Gyeong Woo Cheon, Yong Huang, Jaepyeng Cha, Peter L Gehlbach, Jin U Kang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Artificial intelligence and ophthalmic surgery.Current opinion in ophthalmology · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Motorized Micro-Forceps with Active Motion Guidance based on Common-Path SSOCT for Epiretinal Membranectomy.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2017
    Article
  12. Article
  13. Article
  14. Ghost reduction in CP-SSOCT having multiple references using Fourier-domain Shift and Sum.IEEE photonics technology letters : a publication of the IEEE Laser and Electro-optics Society · 2016
    Article
  15. Autonomous Needle Navigation in Retinal Microsurgery: Evaluation inIEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation
    Article
  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gyeong Woo CheonDepartment of Electrical and Computer Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.
Yong HuangDepartment of Electrical and Computer Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.
Jaepyeng ChaDepartment of Electrical and Computer Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.
Peter L GehlbachDepartment of Electrical and Computer Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA ; Wilmer Eye Institute, Johns Hopkins School of Medicine, 600 N. Wolfe Street, Baltimore, MD, 21287, USA.
Jin U KangDepartment of Electrical and Computer Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.

Funding

OCT-Guided Free-Hand Semi-Automated Microsurgical Tool for Enhanced Retinal SurgeR01EY021540 · NEI · JOHNS HOPKINS UNIVERSITY · PI GEHLBACH, PETER LOUIS, KANG, JIN U · 2011 to 2015
$2.0M
NEI NIH HHS R01 EY021540
6 · The paper itself

Abstract

This paper presents a novel intuitive targeting and tracking scheme that utilizes a common-path swept source optical coherence tomography (CP-SSOCT) distal sensor integrated handheld microsurgical tool. To achieve micron-order precision control, a reliable and accurate OCT distal sensing method is required; simultaneously, a prediction algorithm is necessary to compensate for the system delay associated with the computational, mechanical and electronic latencies. Due to the multi-layered structure of retina, it is necessary to develop effective surface detection methods rather than simple peak detection. To achieve this, a shifted cross-correlation method is applied for surface detection in order to increase robustness and accuracy in distal sensing. A predictor based on Kalman filter was implemented for more precise motion compensation. The performance was first evaluated using an established dry phantom consisting of stacked cellophane tape. This was followed by evaluation in an ex-vivo bovine retina model to assess system accuracy and precision. The results demonstrate highly accurate depth targeting with less than 5 μm RMSE depth locking.

Indexed as

(060.2370) Fiber optics sensors(150.5758) Robotic and machine control(170.4460) Ophthalmic optics and devices(170.4500) Optical coherence tomography

Identifiers

PMID26137393
PMCPMC4467719

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.