TY - GEN
T1 - Unwind
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020
AU - Williams, Francis
AU - Bock, Alexander
AU - Doraiswamy, Harish
AU - Donatelli, Cassandra
AU - Hall, Kayla
AU - Summers, Adam
AU - Panozzo, Daniele
AU - Silva, Cláudio T.
N1 - Funding Information:
The authors would like to acknowledge Thomas O’Mahoney for the contribution of the primate scan in Figure 13. This work was partially supported by the Moore-Sloan Data Science Environment at NYU; NASA; the NSF CAREER award 1652515; NSF awards OAC-1835712, CHF-1908767, NSF IIS-1901091, CNS-1229185, CCF-1533564, CNS-1544753, CNS-1730396, CNS-1828576; CNS-1626098, a gift from Adobe Research; a gift from nTopology; a gift from AMD, and the NVIDIA NVAIL at NYU. APS was supported by the Seaver Institute and NSF DBI-1759637. C. T. Silva is partially supported by the DARPA D3M program. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of DARPA. We would also like to acknowledge our trial users Kelly Diamond, Jonathan Huie, Karly Cohen, Todd Clardy, and Graham Short.
Publisher Copyright:
© 2020 ACM.
PY - 2020/4/21
Y1 - 2020/4/21
N2 - The ScanAllFish project is a large-scale effort to scan all the world's 33,100 known species of fishes. It has already generated thousands of volumetric CT scans of fish species which are available on open access platforms such as the Open Science Framework. To achieve a scanning rate required for a project of this magnitude, many specimens are grouped together into a single tube and scanned all at once. The resulting data contain many fish which are often bent and twisted to fit into the scanner. Our system, Unwind, is a novel interactive visualization and processing tool which extracts, unbends, and untwists volumetric images of fish with minimal user interaction. Our approach enables scientists to interactively unwarp these volumes to remove the undesired torque and bending using a piecewise-linear skeleton extracted by averaging isosurfaces of a harmonic function connecting the head and tail of each fish. The result is a volumetric dataset of a individual, straight fish in a canonical pose defined by the marine biologist expert user. We have developed Unwind in collaboration with a team of marine biologists: Our system has been deployed in their labs, and is presently being used for dataset construction, biomechanical analysis, and the generation of figures for scientific publication.
AB - The ScanAllFish project is a large-scale effort to scan all the world's 33,100 known species of fishes. It has already generated thousands of volumetric CT scans of fish species which are available on open access platforms such as the Open Science Framework. To achieve a scanning rate required for a project of this magnitude, many specimens are grouped together into a single tube and scanned all at once. The resulting data contain many fish which are often bent and twisted to fit into the scanner. Our system, Unwind, is a novel interactive visualization and processing tool which extracts, unbends, and untwists volumetric images of fish with minimal user interaction. Our approach enables scientists to interactively unwarp these volumes to remove the undesired torque and bending using a piecewise-linear skeleton extracted by averaging isosurfaces of a harmonic function connecting the head and tail of each fish. The result is a volumetric dataset of a individual, straight fish in a canonical pose defined by the marine biologist expert user. We have developed Unwind in collaboration with a team of marine biologists: Our system has been deployed in their labs, and is presently being used for dataset construction, biomechanical analysis, and the generation of figures for scientific publication.
KW - ct scan data
KW - interactive system
KW - visual analytics
KW - visualization
KW - visualization toolkits
KW - volumetric deformation
UR - http://www.scopus.com/inward/record.url?scp=85091311109&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091311109&partnerID=8YFLogxK
U2 - 10.1145/3313831.3376846
DO - 10.1145/3313831.3376846
M3 - Conference contribution
AN - SCOPUS:85091311109
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 25 April 2020 through 30 April 2020
ER -