CT based volume measurement and estimation in cases of pericardial effusion

Ebert, Lars C.; Ampanozi, Garyfalia; Ruder, Thomas D.; Hatch, Gary; Thali, Michael J.; Germerott, Tanja (2012). CT based volume measurement and estimation in cases of pericardial effusion. Journal of forensic and legal medicine, 19(3), pp. 126-31. Oxford: Elsevier 10.1016/j.jflm.2011.12.007

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The measurement of fluid volumes in cases of pericardial effusion is a necessary procedure during autopsy. With the increased use of virtual autopsy methods in forensics, the need for a quick volume measurement method on computed tomography (CT) data arises, especially since methods such as CT angiography can potentially alter the fluid content in the pericardium. We retrospectively selected 15 cases with hemopericardium, which underwent post-mortem imaging and autopsy. Based on CT data, the pericardial blood volume was estimated using segmentation techniques and downsampling of CT datasets. Additionally, a variety of measures (distances, areas and 3D approximations of the effusion) were examined to find a quick and easy way of estimating the effusion volume. Segmentation of CT images as shown in the present study is a feasible method to measure the pericardial fluid amount accurately. Downsampling of a dataset significantly increases the speed of segmentation without losing too much accuracy. Some of the other methods examined might be used to quickly estimate the severity of the effusion volumes.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Service Sector > Institute of Legal Medicine > Forensic Medicine
04 Faculty of Medicine > Service Sector > Institute of Legal Medicine > Forensic Imaging
04 Faculty of Medicine > Service Sector > Institute of Legal Medicine

UniBE Contributor:

Ebert, Lars Christian, Ampanozi, Garyfalia, Ruder, Thomas, Germerott, Tanja

ISSN:

1752-928X

Publisher:

Elsevier

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:22

Last Modified:

05 Dec 2022 14:06

Publisher DOI:

10.1016/j.jflm.2011.12.007

PubMed ID:

22390997

Web of Science ID:

000302526100004

URI:

https://boris.unibe.ch/id/eprint/7428 (FactScience: 212689)

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