A review of visualization techniques of post-mortem computed tomography data for forensic death investigations
International Journal of Legal Medicine, ISSN: 1437-1596, Vol: 135, Issue: 5, Page: 1855-1867
2021
- 30Citations
- 70Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations30
- Citation Indexes30
- 30
- Captures70
- Readers70
- 70
Review Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85105397107&origin=inward; http://dx.doi.org/10.1007/s00414-021-02581-4; http://www.ncbi.nlm.nih.gov/pubmed/33931808; https://link.springer.com/10.1007/s00414-021-02581-4; https://dx.doi.org/10.1007/s00414-021-02581-4; https://link.springer.com/article/10.1007/s00414-021-02581-4
Springer Science and Business Media LLC
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