Evidence map›Paper›PMID 27628743›Full record

ReviewInsights into imaging2016

Cinematic rendering - an alternative to volume rendering for 3D computed tomography imaging.

Evelyn Dappa, Kai Higashigaito, Jürgen Fornaro, Sebastian Leschka, Simon Wildermuth, Hatem Alkadhi

Abstract readReview
In one paragraph

Review in Insights into imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Trial
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  7. Relevance of advanced imaging analysis units in radiology departments: a narrative review.International journal of computer assisted radiology and surgery · 2026
    Review
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5 more citing papers are in PubMed but not listed here.

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

6 authors.

Evelyn DappaInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH- 8091, Zurich, Switzerland.
Kai HigashigaitoInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH- 8091, Zurich, Switzerland.
Jürgen FornaroDivision of Radiology and Nuclear Medicine, Kantonsspital, St Gallen, Switzerland.
Sebastian LeschkaDivision of Radiology and Nuclear Medicine, Kantonsspital, St Gallen, Switzerland.
Simon WildermuthDivision of Radiology and Nuclear Medicine, Kantonsspital, St Gallen, Switzerland.
Hatem AlkadhiInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH- 8091, Zurich, Switzerland. hatem.alkadhi@usz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Volume rendering (VR) represents today's standard three-dimensional (3-D) image post-processing technique, and often is used to visualize complex anatomical information. Recently, a novel 3-D technique for post-processing of computed tomography (CT) image data has been introduced, which is called cinematic rendering (CR). The objective of this review is to illustrate the image appearance and potential value of CR in comparison with conventional VR in a number of various applications and different anatomical regions. Similar to VR, CR best visualizes high density and high contrast structures such as bones and contrast-enhanced vessels, but at the same time provides a more natural and photo-realistic illumination of the rendered data. Further research will be necessary for determining possible advantages of CR over conventional VR and over two-dimensional (2-D) image post-processing for CT image data. TEACHING POINTS: • Cinematic rendering is a novel post-processing technique for 3D visualization of CT image data. • Compared to volume rendering, CR results in a more photo-realistic representation of anatomy. • Similar to volume rendering, CR provides best image quality of high density structures.

Indexed as

Cinematic renderingComputed tomographyImage processingThree-dimensionalVolume rendering

Identifiers

PMID27628743
PMCPMC5110476

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.