Movie Credits: NASA/CXC/MIT/D.Berry/T. Delaney et al. Chris - - PowerPoint PPT Presentation

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movie credits nasa cxc mit d berry t delaney et al chris

Movie Credits: NASA/CXC/MIT/D.Berry/T. Delaney et al. Chris - - PowerPoint PPT Presentation

Nov 21, 2022 33 likes •624 views

P ERCEPTION , C OGNITION , AND E FFECTIVENESS OF V ISUALIZATIONS WITH A PPLICATIONS IN S CIENCE AND E NGINEERING Michelle Borkin (University of British Columbia & Harvard University) CPSC 547, UBC - September 24, 2014 Movie Credits:

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CPSC 547, UBC - September 24, 2014

Michelle Borkin

(University of British Columbia & Harvard University)

PERCEPTION, COGNITION, AND EFFECTIVENESS

OF VISUALIZATIONS WITH APPLICATIONS IN SCIENCE AND ENGINEERING

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Movie Credits: NASA/CXC/MIT/D.Berry/T. Delaney et al.

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Chris Beaumont, Tom Robitaille, Michelle Borkin, & Alyssa Goodman (glueviz.org)

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INPROV

M. Borkin, C.

Yeh, M. Boyd, P. Macko, K. Gajos, M. Seltzer, & H. Pfister (IEEE TVCG / InfoVis 2013)

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Michelle Borkin, Krzysztof Gajos, Amanda Peters, Dimitris Mitsouras, Simone Melchionna, Frank Rybicki, Charles Feldman, & Hanspeter Pfister, “Evaluation of Artery Visualizations for Heart Disease Diagnosis” (IEEE TVCG / InfoVis 2011)

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Generate patient geometries Visualize and analyze data

NON-INVASIVE DIAGNOSIS

Obtain patient CT data Segment arteries Patient specific blood flow simulation Clinical decision

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DATA

initial disease

low ESS

ESS = endothelial shear stress (i.e., frictional force from blood flow) plaque

very low ESS This can rupture and give you a heart attack!

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DATA

initial disease

low ESS

ESS = endothelial shear stress (i.e., frictional force from blood flow) plaque

very low ESS This can rupture and give you a heart attack!

Low ESS = BAD cannot directly measure ESS in living patients!

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Semi-structured interviews
10 medical doctors and researchers
Brigham & Women’s Hospital (Boston, MA)

FORMATIVE QUALITATIVE STUDY

Visualize and analyze data Clinical decision

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TASK ABSTRACTION CLINICAL RESEARCH

TASK TAXONOMY

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TASK ABSTRACTION CLINICAL RESEARCH

“Identify regions of low ESS” find extrema X X

TASK TAXONOMY

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TASK ABSTRACTION CLINICAL RESEARCH

“Identify regions of low ESS” find extrema X X “Identify stenosis or blockage” find extrema X X

TASK TAXONOMY

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TASK ABSTRACTION CLINICAL RESEARCH

“Identify regions of low ESS” find extrema X X “Identify stenosis or blockage” find extrema X X “View all ESS data for patterns” cluster X X

TASK TAXONOMY

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TASK ABSTRACTION CLINICAL RESEARCH

“Identify regions of low ESS” find extrema X X “Identify stenosis or blockage” find extrema X X “View all ESS data for patterns” cluster X X “Study blood flow velocity patterns” find anomalies X

TASK TAXONOMY

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TASK ABSTRACTION CLINICAL RESEARCH

“Identify regions of low ESS” find extrema X X “Identify stenosis or blockage” find extrema X X “View all ESS data for patterns” cluster X X “Study blood flow velocity patterns” find anomalies X “Identify regions of blood recirculation” find anomalies X

TASK TAXONOMY

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TASK ABSTRACTION CLINICAL RESEARCH

“Identify regions of low ESS” find extrema X X “Identify stenosis or blockage” find extrema X X “View all ESS data for patterns” cluster X X “Study blood flow velocity patterns” find anomalies X “Identify regions of blood recirculation” find anomalies X “Investigate other physical variables of blood flow” find anomalies X

TASK TAXONOMY

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TASK ABSTRACTION CLINICAL RESEARCH

“Identify regions of low ESS” find extrema X X “Identify stenosis or blockage” find extrema X X “View all ESS data for patterns” cluster X X “Study blood flow velocity patterns” find anomalies X “Identify regions of blood recirculation” find anomalies X “Investigate other physical variables of blood flow” find anomalies X

TASK TAXONOMY

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TASK ABSTRACTION CLINICAL RESEARCH

“Identify regions of low ESS” find extrema X X “Identify stenosis or blockage” find extrema X X “View all ESS data for patterns” cluster X X “Study blood flow velocity patterns” find anomalies X “Identify regions of blood recirculation” find anomalies X “Investigate other physical variables of blood flow” find anomalies X

TASK TAXONOMY

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3D

VS. 2D

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3D

VS. 2D

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LAYOUT AND PROJECTIONS

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COLOR

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COLOR

Preferred (standard) Non-rainbow favorite! Too “radiological”

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COLOR

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3D vs. 2D rainbow vs. diverging

QUANTITATIVE STUDY: GOALS

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QUANTITATIVE STUDY

e.g., Participant A e.g., Participant B

21 Harvard Medical students (12 women and 9 men)
Mixed within-subject and between-subject design:
within = dimensionality of representation (2D or 3D)
between = color mapping (rainbow or diverging)

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Dependent measures:
fraction of low ESS regions identified
number of false positives (i.e., non-low ESS regions

identified as low ESS)

time to complete a diagnosis

QUANTITATIVE STUDY

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QUANTITATIVE STUDY

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QUANTITATIVE STUDY

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QUANTITATIVE STUDY

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QUANTITATIVE STUDY

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RESULTS

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Strong effect of dimensionality on accuracy

39%

How many low ESS regions found?

62%

ACCURACY

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Strong effect of dimensionality on accuracy

91% 39%

How many low ESS regions found?

...as well as color

ACCURACY

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Participants more efficient in 2D.

EFFICIENCY

5.6 sec/region 2.4 sec/region

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Participants more efficient in 2D.

EFFICIENCY

2.6 sec/region 5.6 sec/region

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Participants more efficient in 2D. Rainbow color map has greater effect on efficiency in 3D.

EFFICIENCY

2.6 sec/region 10.2 sec/region

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participants less accurate

Accuracy decreases with increased data complexity in 3D

COMPLEXITY

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(not true in 2D!) Accuracy decreases with increased data complexity in 3D

COMPLEXITY

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Even for 3D spatial data, a 2D representation is
more accurate for spatial tasks
more efficient for spatial tasks
Rainbow color map
is not accurate and not efficient
has adverse effects even greater in 3D

FINDINGS SUMMARY

!

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3D representation is still essential

for surgical planning

2D tree diagram applicable to
ther applications

FINAL REMARKS

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MICHELLE BORKIN

http://bit.ly/mborkin @michelle_borkin borkin@cs.ubc.ca

Research funded through the NDSEG (National Defense Science and Engineering Graduate) Fellowship Program, and the NSF Graduate Research Fellowship Program.