TY - GEN
T1 - Fused Visualization and Feature Highlighting to Assist Depth Recognition in Transparent Stereoscopic Visualization
AU - Miyawaki, Miwa
AU - Aoi, Daimon
AU - Sakano, Yuichi
AU - Lopez-Gulliver, Roberto
AU - Hasegawa, Kyoko
AU - Li, Liang
AU - Ando, Hiroshi
AU - Tanaka, Satoshi
N1 - Publisher Copyright:
© 2019, Springer Nature Singapore Pte Ltd.
PY - 2019
Y1 - 2019
N2 - In the medical field, computer graphics (CG) is used to visualize the internal structure of the human body, which is important in diagnosis and surgical planning. Transparent visualization, on the other hand, visualizes the whole image and the inside at the same time, enables intuitive structure grasping, and is useful for three-dimensional visualization in the medical field. However, in transparent stereoscopy, the problem that the depth is underestimated rather than the actual object has been confirmed from the previous research. Therefore, in this study, we extract the surface of the volume data as a surface, overlap it with the original semitransparent volume to give a role as a silhouette, and make it a new clue to solve the problems of transparent stereopsis. Then, an evaluation experiment was conducted on the depth grasp of the medical images to which the proposed method was applied. The result shows that the depth was overestimated over the correct value under a plurality of conditions, and by fusing the surfaces, the surface to be compared was perceived more deeply. Regarding the feature highlighting, under specific conditions, it was perceived farther in the back.
AB - In the medical field, computer graphics (CG) is used to visualize the internal structure of the human body, which is important in diagnosis and surgical planning. Transparent visualization, on the other hand, visualizes the whole image and the inside at the same time, enables intuitive structure grasping, and is useful for three-dimensional visualization in the medical field. However, in transparent stereoscopy, the problem that the depth is underestimated rather than the actual object has been confirmed from the previous research. Therefore, in this study, we extract the surface of the volume data as a surface, overlap it with the original semitransparent volume to give a role as a silhouette, and make it a new clue to solve the problems of transparent stereopsis. Then, an evaluation experiment was conducted on the depth grasp of the medical images to which the proposed method was applied. The result shows that the depth was overestimated over the correct value under a plurality of conditions, and by fusing the surfaces, the surface to be compared was perceived more deeply. Regarding the feature highlighting, under specific conditions, it was perceived farther in the back.
KW - Automultiscopic 3D image
KW - Depth perception
KW - Implicit surface
KW - Transparent visualization
UR - http://www.scopus.com/inward/record.url?scp=85067349386&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067349386&partnerID=8YFLogxK
U2 - 10.1007/978-981-13-8566-7_19
DO - 10.1007/978-981-13-8566-7_19
M3 - Conference contribution
AN - SCOPUS:85067349386
SN - 9789811385650
T3 - Smart Innovation, Systems and Technologies
SP - 197
EP - 204
BT - Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences
A2 - Zimmermann, Alfred
A2 - Howlett, Robert J.
A2 - Jain, Lakhmi C.
A2 - Chen, Yen-Wei
PB - Springer Science and Business Media Deutschland GmbH
T2 - KES International conferences on Innovation in Medicine and Healthcare, KES-InMed 2019 and Intelligent Interactive Multimedia Systems and Services, KES-IIMSS 2019
Y2 - 17 June 2019 through 19 June 2019
ER -