| Title |
A Hybrid 2D/3D User Interface for Radiological Diagnosis
|
|---|---|
| Published in |
Journal of Digital Imaging, August 2017
|
| DOI | 10.1007/s10278-017-0002-6 |
| Pubmed ID | |
| Authors |
Veera Bhadra Harish Mandalika, Alexander I. Chernoglazov, Mark Billinghurst, Christoph Bartneck, Michael A. Hurrell, Niels de Ruiter, Anthony P. H. Butler, Philip H. Butler |
| Abstract |
This paper presents a novel 2D/3D desktop virtual reality hybrid user interface for radiology that focuses on improving 3D manipulation required in some diagnostic tasks. An evaluation of our system revealed that our hybrid interface is more efficient for novice users and more accurate for both novice and experienced users when compared to traditional 2D only interfaces. This is a significant finding because it indicates, as the techniques mature, that hybrid interfaces can provide significant benefit to image evaluation. Our hybrid system combines a zSpace stereoscopic display with 2D displays, and mouse and keyboard input. It allows the use of 2D and 3D components interchangeably, or simultaneously. The system was evaluated against a 2D only interface with a user study that involved performing a scoliosis diagnosis task. There were two user groups: medical students and radiology residents. We found improvements in completion time for medical students, and in accuracy for both groups. In particular, the accuracy of medical students improved to match that of the residents. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Student > Master | 10 | 17% |
| Student > Bachelor | 7 | 12% |
| Student > Doctoral Student | 4 | 7% |
| Researcher | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 32% |
| Nursing and Health Professions | 4 | 7% |
| Psychology | 4 | 7% |
| Engineering | 4 | 7% |
| Business, Management and Accounting | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 13 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 February 2023.
All research outputs
#3,596,915
of 25,321,938 outputs
Outputs from Journal of Digital Imaging
#104
of 1,123 outputs
Outputs of similar age
#61,729
of 323,434 outputs
Outputs of similar age from Journal of Digital Imaging
#3
of 29 outputs
Altmetric has tracked 25,321,938 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 90% of its peers.
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.