Evidence map›Paper›PMID 33931808›Full record

ReviewInternational journal of legal medicine2021

A review of visualization techniques of post-mortem computed tomography data for forensic death investigations.

Lars Christian Ebert, Sabine Franckenberg, Till Sieberth, Wolf Schweitzer, Michael Thali, Jonathan Ford, Summer Decker

Abstract readReview
In one paragraph

Review in International journal of legal medicine, 2021. 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. Review
  3. Article
  4. The current state of forensic imaging - perspectives.International journal of legal medicine · 2025
    Review
  5. Article
  6. Review
  7. The current state of forensic imaging - post mortem imaging.International journal of legal medicine · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. 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

7 authors.

Lars Christian EbertZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland. lars.ebert@virtopsy.com.ORCID http://orcid.org/0000-0002-8215-7006
Sabine FranckenbergZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-8326-0777
Till SieberthZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-2662-8344
Wolf SchweitzerZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Michael ThaliZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Jonathan FordDepartment of Radiology, University of South Florida, Morsani College of Medicine, Tampa, FL, USA.ORCID http://orcid.org/0000-0003-4367-9044
Summer DeckerDepartment of Radiology, University of South Florida, Morsani College of Medicine, Tampa, FL, USA.ORCID http://orcid.org/0000-0002-9256-5708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postmortem computed tomography (PMCT) is a standard image modality used in forensic death investigations. Case- and audience-specific visualizations are vital for identifying relevant findings and communicating them appropriately. Different data types and visualization methods exist in 2D and 3D, and all of these types have specific applications. 2D visualizations are more suited for the radiological assessment of PMCT data because they allow the depiction of subtle details. 3D visualizations are better suited for creating visualizations for medical laypersons, such as state attorneys, because they maintain the anatomical context. Visualizations can be refined by using additional techniques, such as annotation or layering. Specialized methods such as 3D printing and virtual and augmented reality often require data conversion. The resulting data can also be used to combine PMCT data with other 3D data such as crime scene laser scans to create crime scene reconstructions. Knowledge of these techniques is essential for the successful handling of PMCT data in a forensic setting. In this review, we present an overview of current visualization techniques for PMCT.

Indexed as

Data VisualizationForensic SciencesSoftwareAutopsyHumansImage Processing, Computer-AssistedTomography, X-Ray Computed3D printingPostmortem computed tomographyReportingSegmentationVirtual realityVisualization

Identifiers

PMID33931808
PMCPMC8354982

What OpenQuestion holds

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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.