Using Mutual Information for Exploring Optimal Light Source Placements

Ohtaka, Yuki; Takahashi, Shigeo; Wu, Hsiang‐Yun; Ohta, Nobuhiro

doi:10.1007/978-3-319-53838-9_13

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…Moreover, in the current approach, we allow users to define the camera position manually. An automatic approach, such as mutual information [OTWO17], could be introduced, to find the best viewpoint, before slicing.…”

Section: Discussionmentioning

confidence: 99%

Slice and Dice: A Physicalization Workflow for Anatomical Edutainment

Raidou

Gröller

2020

Computer Graphics Forum

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During the last decades, anatomy has become an interesting topic in education-even for laymen or schoolchildren. As medical imaging techniques become increasingly sophisticated, virtual anatomical education applications have emerged. Still, anatomical models are often preferred, as they facilitate 3D localization of anatomical structures. Recently, data physicalizations (i.e., physical visualizations) have proven to be effective and engaging-sometimes, even more than their virtual counterparts. So far, medical data physicalizations involve mainly 3D printing, which is still expensive and cumbersome. We investigate alternative forms of physicalizations, which use readily available technologies (home printers) and inexpensive materials (paper or semi-transparent films) to generate crafts for anatomical edutainment. To the best of our knowledge, this is the first computergenerated crafting approach within an anatomical edutainment context. Our approach follows a cost-effective, simple, and easy-to-employ workflow, resulting in assemblable data sculptures (i.e., semi-transparent sliceforms). It primarily supports volumetric data (such as CT or MRI), but mesh data can also be imported. An octree slices the imported volume and an optimization step simplifies the slice configuration, proposing the optimal order for easy assembly. A packing algorithm places the resulting slices with their labels, annotations, and assembly instructions on a paper or transparent film of user-selected size, to be printed, assembled into a sliceform, and explored. We conducted two user studies to assess our approach, demonstrating that it is an initial positive step towards the successful creation of interactive and engaging anatomical physicalizations. CCS Concepts • Human-centered computing → Visualization application domains; • Applied computing → Life and medical sciences;

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Section: Discussionmentioning

confidence: 99%