| Title |
Cinematic rendering of small bowel pathology: preliminary observations from this novel 3D CT visualization method
|
|---|---|
| Published in |
Abdominal Radiology, March 2018
|
| DOI | 10.1007/s00261-018-1578-0 |
| Pubmed ID | |
| Authors |
Steven P. Rowe, Linda C. Chu, Elliot K. Fishman |
| Abstract |
3D visualization methods for volumetric CT data have played an important role in diagnostic imaging of the small bowel, a structure which intrinsically crosses numerous slices in any 2D imaging plane. Recently, a new approach to 3D CT image creation has become available-cinematic rendering (CR). CR differs from other 3D methods in making use of a global lighting model that produces high surface detail and realistic shadowing effects that lead to 3D visualizations with photorealistic quality. Although the utility of these images for improving diagnostic accuracy has not yet been established, our group's early experience in regions of complex anatomy and pathology has been encouraging. In this pictorial review, we review the established role of 3D CT in many of the most common small bowel pathologies, provide examples of those pathologies visualized with CR, and suggest future directions for researchers to pursue. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Postgraduate | 2 | 14% |
| Professor > Associate Professor | 2 | 14% |
| Student > Master | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 43% |
| Agricultural and Biological Sciences | 2 | 14% |
| Unknown | 6 | 43% |