Evidence map›Paper›PMID 30548164›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2019

Vector field analysis for surface registration in computer-assisted ENT surgery.

Georgi Diakov, Wolfgang Freysinger

Open access · hybridAbstract read
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Vector field analysis for surface registration in computer-assisted ENT surgery.The international journal of medical robotics + computer assisted surgery : MRCAS · 2019
    Article
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

2 authors at 1 institution in 1 country.

Georgi DiakovDepartment of Oto-, Rhino-, Laryngology, 4D-Visualization Laboratory, Innsbruck Medical University, Innsbruck, Austria.ORCID https://orcid.org/0000-0001-7477-0604
Wolfgang FreysingerDepartment of Oto-, Rhino-, Laryngology, 4D-Visualization Laboratory, Innsbruck Medical University, Innsbruck, Austria.ORCID https://orcid.org/0000-0002-2833-3224
Innsbruck Medical University · AT

Funding

Innsbruck Medical University MFI 2007-404Oesterreichische Nationalbank 14751Oesterreichische Nationalbank 16903
6 · The paper itself

Abstract

backgroundManual paired-point registration for navigated ENT-surgery is prone to human errors; automatic surface registration is often caught in local minima.

methodsAnatomical features of the human occiput are integrated into an algorithm for surface registration. A vector force field is defined between the patient and operating room datasets; registration is facilitated through gradient-based vector field analysis optimization of an energy function. The method is validated exemplarily on patient surface data provided by a mechanically positioned A-mode ultrasound sensor.

resultsSuccessful registrations were achieved within the entire parameter space, as well as from positions of local minima that were found by the Gaussian fields algorithm for surface registration. Sub-millimetric registration error was measured in clinically relevant anatomical areas on the anterior skull and within the generally accepted margin of 1.5 mm for the entire head.

conclusionThe satisfactory behavior of this approach potentially suggests a wider clinical integration.

Indexed as

AlgorithmsHumansOtolaryngologySurgery, Computer-Assisted

Identifiers

PMID30548164
PMCPMC6590403
OpenAlexW2904185839

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.