Evidence map›Paper›PMID 37458928›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Automated image registration of cerebral digital subtraction angiography.

Vincent J W Hellebrekers, Theo van Walsum, Ihor Smal, Sandra A P Cornelissen, Wim H van Zwam, Aad van der Lugt, Matthijs van der Sluijs, Ruisheng Su

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Vincent J W HellebrekersErasmus MC, University Medical Center, Rotterdam, The Netherlands.
Theo van WalsumErasmus MC, University Medical Center, Rotterdam, The Netherlands.
Ihor SmalErasmus MC, University Medical Center, Rotterdam, The Netherlands.
Sandra A P CornelissenErasmus MC, University Medical Center, Rotterdam, The Netherlands.
Wim H van ZwamMaastricht University Medical Center, Maastricht, The Netherlands.
Aad van der LugtErasmus MC, University Medical Center, Rotterdam, The Netherlands.
Matthijs van der SluijsErasmus MC, University Medical Center, Rotterdam, The Netherlands.
Ruisheng SuErasmus MC, University Medical Center, Rotterdam, The Netherlands. r.su@erasmusmc.nl.ORCID http://orcid.org/0000-0002-5013-1370
Erasmus MC · NLMaastricht University · NL

Funding

Health Holland EMCLSH19006
6 · The paper itself

Abstract

purposeOur aim is to automatically align digital subtraction angiography (DSA) series, recorded before and after endovascular thrombectomy. Such alignment may enable quantification of procedural success.

methodsFirstly, we examine the inherent limitations for image registration, caused by the projective characteristics of DSA imaging, in a representative set of image pairs from thrombectomy procedures. Secondly, we develop and assess various image registration methods (SIFT, ORB). We assess these methods using manually annotated point correspondences for thrombectomy image pairs.

resultsLinear transformations that account for scale differences are effective in aligning DSA sequences. Two anatomical landmarks can be reliably identified for registration using a U-net. Point-based registration using SIFT and ORB proves to be most effective for DSA registration and are applicable to recordings for all patient sub-types. Image-based techniques are less effective and did not refine the results of the best point-based registration method.

conclusionWe developed and assessed an automated image registration approach for cerebral DSA sequences, recorded before and after endovascular thrombectomy. Accurate results were obtained for approximately 85% of our image pairs.

Indexed as

Angiography, Digital SubtractionCerebral AngiographyHumansDigital subtraction angiographyEndovascular thrombectomyImage registrationIschemic stroke

Identifiers

PMID37458928
PMCPMC10770205
OpenAlexW4384560690

What OpenQuestion holds

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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.