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Mobile Augmented Reality for Cardiovascular Surgical Planning

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CardiacAR

CardiacAR Banner

DOI:10.1145/3429360.3468195 arxiv badge License

Augmented Reality based iOS application to help surgeons with cardiovascular surgical planning

📺 Video 📖 Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality

Feature Highlights

Importing and Repositioning Model

Import custom heart models for patient-specific analysis and anchor them anywhere in the AR space.

CardiacAR Model Import and Reposition

Panning, Scaling, and Perspective View

Using CardiacAR, you can pan, rotate, and scale the model for better angles. You can also move your device through the model by moving it in the physical space to obtain a perspective view of the model.

CardiacAR Panning, Scaling, and Perspective View

Omni-directional

Explore various cross sectional view of the model to better understand the anatomy of the heart model. Implement multiple slices in any direction to better analyze the model. Preview the slices before confirming them using the "Confirm Slice" button.

CardiacAR Omni-directional Slicing

Virtual Annotation

Attach a sticky note to the model and anchor it to any point on the model to quickly emphasize and organize information during a planning session.

CardiacAR Model Annotation

Credits

♥ CardiacAR developers and collaborators: Alex Yang, Pratham Mehta, Jonathan Leo, Zhiyan Zhou, Megan Dass, Anish Upadhayay, Tim Slesnick, Fawwaz Shaw, Amanda Randles, and Duen Horng Chau.

Citations

Asian CHI 2021 Poster (System Design)

@inproceedings{leo2021interactive,
  title={Interactive Cardiovascular Surgical Planning via Augmented Reality},
  author={Leo, Jonathan and Zhou, Zhiyan and Yang, Haoyang and Dass, Megan and Upadhayay, Anish and C Slesnick, Timothy and Shaw, Fawwaz and Horng Chau, Duen},
  booktitle={Asian CHI Symposium 2021},
  pages={132--135},
  year={2021}
}

VIS 2022 Poster (Evaluation)

@article{Yang2022EvaluatingCS,
  title={Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality},
  author={H. Yang and Pratham Darrpan Mehta and Jonathan Leo and Zhiyan Zhou and Megan Dass and Anish Upadhayay and Timothy C. Slesnick and Fawwaz Shaw and Amanda Randles and Duen Horng Chau},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.10639}
}

License

CardiacAR is available under the MIT License. CardiacAR uses the Euclid library, which is also licensed under the MIT License.

Contact

If you have any questions or would like to contribute to the project, feel free to open an issue or contact Alex Yang.

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