MULTIMODAL DISPLAY INTERFACE FOR PLANNING AND MONITORING COMPLEX SKELETAL RECONSTRUCTIONS

2005 ◽  
Vol 05 (03) ◽  
pp. 465-468 ◽  
Author(s):  
FULVIA TADDEI ◽  
DEBORA TESTI ◽  
MARCO VICECONTI ◽  
ALBERTO LEARDINI
Keyword(s):  
Medical Imaging ◽  
Soft Tissues ◽  
Dynamic Mri ◽  
Analysis Data ◽  
Finite Element Models ◽  
Time Varying ◽  
Imaging Data ◽  
Complete Representation ◽  
Orthopedic Oncology ◽  
Medical Imaging Data

The aim of the present work is to present the new software Multimod Data Manager and to show applications in the planning and monitoring of complex skeletal reconstructions in orthopedic oncology. The DataManager allows the full integration of different kind of data, particularly medical imaging data, both static as CT, SPECT or MRI, or time-varying as fluoroscopy or dynamic MRI, with motion analysis data, but also 3D computer and finite element models of bones, joints and also soft tissues. All the data can be visualized with highly interactive and specialized modalities and can be integrated to offer a complete representation of the patient anatomy. Several algorithms are implemented to allow registration and synchronization of the data. A fully 3D environment is offered to the surgeon to navigate inside the medical imaging dataset. To exemplify the use of the software we document in this paper the data processing used to investigate different specific clinical cases in the field of orthopedic oncology.

Automating the Generation of 3D Finite Element Models Based on Medical Imaging Data

2006 ◽  
Author(s):  
Philippe Young ◽  
G. Tabor ◽  
T. Collins ◽  
J. Richterova ◽  
E. Dejuniat ◽  
...  
Keyword(s):  
Finite Element ◽  
Medical Imaging ◽  
Finite Element Models ◽  
Imaging Data ◽  
3D Finite Element ◽  
Medical Imaging Data

Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data

2021 ◽  
pp. 1-15
Author(s):  
Phawis Thammasorn ◽  
Wanpracha A. Chaovalitwongse ◽  
Daniel S. Hippe ◽  
Landon S. Wootton ◽  
Eric C. Ford ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Nearest Neighbor ◽  
Small Sample ◽  
Imaging Data ◽  
Medical Imaging Data

Augmented and mixed reality for collaborative cardiac planning using 3D and 4D medical imaging data

2020 ◽  
Author(s):  
Didi-Liliana Popa ◽  
Mihai-Lucian Mocanu ◽  
Radu-Teodoru Popa ◽  
Lucian-Florentin Barbulescu ◽  
Linda Nicoleta Barbulescu ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Mixed Reality ◽  
Imaging Data ◽  
Medical Imaging Data

scholarly journals A framework for secure and decentralized sharing of medical imaging data via blockchain consensus

2018 ◽  
Vol 25 (4) ◽  
pp. 1398-1411 ◽  
Author(s):  
Vishal Patel
Keyword(s):  
Medical Imaging ◽  
Large Scale ◽  
Third Party ◽  
Distributed Data ◽  
Imaging Data ◽  
Privacy And Security ◽  
Image Sharing ◽  
Security Models ◽  
Number Of Factors ◽  
Medical Imaging Data

The electronic sharing of medical imaging data is an important element of modern healthcare systems, but current infrastructure for cross-site image transfer depends on trust in third-party intermediaries. In this work, we examine the blockchain concept, which enables parties to establish consensus without relying on a central authority. We develop a framework for cross-domain image sharing that uses a blockchain as a distributed data store to establish a ledger of radiological studies and patient-defined access permissions. The blockchain framework is shown to eliminate third-party access to protected health information, satisfy many criteria of an interoperable health system, and readily generalize to domains beyond medical imaging. Relative drawbacks of the framework include the complexity of the privacy and security models and an unclear regulatory environment. Ultimately, the large-scale feasibility of such an approach remains to be demonstrated and will depend on a number of factors which we discuss in detail.

Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data

2020 ◽  
Author(s):  
Alexander Katzmann ◽  
Alexander Muehlberg ◽  
Michael Suehling ◽  
Dominik Norenberg ◽  
Julian Walter Holch ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Sample Size ◽  
Random Forests ◽  
Small Sample Size ◽  
Small Sample ◽  
Imaging Data ◽  
Medical Imaging Data
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