Evidence map›Paper›PMID 35161880›Full record

ArticleSensors (Basel, Switzerland)2022

A Tool for High-Resolution Volumetric Optical Coherence Tomography by Compounding Radial-and Linear Acquired B-Scans Using Registration.

Christian M Bosch, Carmen Baumann, Shervin Dehghani, Michael Sommersperger, Navid Johannigmann-Malek, Katharina Kirchmair, Mathias Maier, Mohammad Ali Nasseri

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Volumetric montaging of optical coherence tomography in human retinas.bioRxiv : the preprint server for biology · 2026
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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

8 authors.

Christian M BoschComputer Aided Medical Procedures and Augmented Reality, Technical University Munich, 85748 Munich, Germany.ORCID 0000-0002-6565-3796
Carmen BaumannAugenklinik und Poliklinik, Klinikum Rechts der Lsar der Technische Universität München, 81675 München, Germany.ORCID 0000-0001-8662-0582
Shervin DehghaniComputer Aided Medical Procedures and Augmented Reality, Technical University Munich, 85748 Munich, Germany.ORCID 0000-0002-2250-239X
Michael SommerspergerComputer Aided Medical Procedures and Augmented Reality, Technical University Munich, 85748 Munich, Germany.ORCID 0000-0002-6247-5306
Navid Johannigmann-MalekAugenklinik und Poliklinik, Klinikum Rechts der Lsar der Technische Universität München, 81675 München, Germany.ORCID 0000-0002-4878-0902
Katharina KirchmairAugenklinik und Poliklinik, Klinikum Rechts der Lsar der Technische Universität München, 81675 München, Germany.ORCID 0000-0002-3617-8682
Mathias MaierAugenklinik und Poliklinik, Klinikum Rechts der Lsar der Technische Universität München, 81675 München, Germany.
Mohammad Ali NasseriAugenklinik und Poliklinik, Klinikum Rechts der Lsar der Technische Universität München, 81675 München, Germany.ORCID 0000-0002-9764-5731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography (OCT) is a medical imaging modality that is commonly used to diagnose retinal diseases. In recent years, linear and radial scanning patterns have been proposed to acquire three-dimensional OCT data. These patterns show differences in A-scan acquisition density across the generated volumes, and thus differ in their suitability for the diagnosis of retinal diseases. While radial OCT volumes exhibit a higher A-scan sampling rate around the scan center, linear scans contain more information in the peripheral scan areas. In this paper, we propose a method to combine a linearly and radially acquired OCT volume to generate a single compound volume, which merges the advantages of both scanning patterns to increase the information that can be gained from the three-dimensional OCT data. We initially generate 3D point clouds of the linearly and radially acquired OCT volumes and use an Iterative Closest Point (ICP) variant to register both volumes. After registration, the compound volume is created by selectively exploiting linear and radial scanning data, depending on the A-scan density of the individual scans. Fusing regions from both volumes with respect to their local A-scan sampling density, we achieve improved overall anatomical OCT information in a high-resolution compound volume. We demonstrate our method on linear and radial OCT volumes for the visualization and analysis of macular holes and the surrounding anatomical structures.

Indexed as

Retinal PerforationsTomography, Optical CoherenceHumans3D OCThigh-resolutionICPinflection pointmacular holeOCToptical coherence tomographyvolumetric OCT

Identifiers

PMID35161880
PMCPMC8839892

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Registered trials

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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.