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Published on: January 2, 2020
Three-dimensional reconstructions from computed tomographic scans on smartphones and tablets: a simple tutorial for
Serge Ketoff1, Roman Hossein Khonsari2, Thomas Schouman3
1Resident, AP-HP, Hôpital Pitié-Salpêtrière, Service de Chirurgie Maxillofaciale et Stomatologie, and UPMC Université Paris, Paris, France.
Handling large medical imaging files on mobile devices is challenging. This study presents a user-friendly method for creating, transferring, and sharing 3D reconstructions from computed tomographic scans on smartphones and tablets.
Area of Science:
- Medical Imaging
- Computer Science
- Radiology
Background:
- Digital Imaging and Communications in Medicine (DICOM) files are large, posing challenges for portable device handling.
- 3-dimensional (3D) reconstructions from computed tomographic (CT) scans require significant data storage and processing power.
- Sharing and accessing complex medical imaging data on mobile platforms is currently limited.
Purpose of the Study:
- To develop a user-friendly method for managing 3D reconstructions of CT scans on portable devices.
- To enable efficient production, transfer, and sharing of high-quality 3D medical imaging data.
- To overcome the limitations of handling large DICOM stacks on smartphones and tablets.
Main Methods:
- A novel approach for optimizing the size of 3D reconstructions from DICOM data.
- Implementation of a streamlined workflow for data transfer between devices.
- Development of a sharing mechanism for collaborative medical imaging review.
Main Results:
- Successful production of good-quality 3D reconstructions suitable for mobile viewing.
- Demonstrated efficient transfer and sharing of large imaging datasets.
- Validation of the user-friendly interface for accessibility on smartphones and tablets.
Conclusions:
- The proposed method effectively addresses the challenges of handling 3D CT reconstructions on portable devices.
- This facilitates improved accessibility and collaboration in medical imaging.
- The solution offers a practical approach for mobile medical data management.
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