Evaluation of Interactive Visualization on Mobile Computing Platforms for Selection of Deep Brain Stimulation Parameters
| Autor: | G. Tamm, Thomas Fogal, Christopher R. Butson, Jens Krüger, Sanket G. Jain |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Movement disorders
Deep brain stimulation Computer science medicine.medical_treatment Deep Brain Stimulation Models Neurological Mobile computing computer.software_genre Sensitivity and Specificity Article User-Computer Interface Data visualization Imaging Three-Dimensional Human–computer interaction Image Interpretation Computer-Assisted medicine Computer Graphics Humans Computer Simulation Interactive visualization Software visualization Protocol (science) Multimedia business.industry Reproducibility of Results Parkinson Disease Decision Support Systems Clinical Computer Graphics and Computer-Aided Design Neuromodulation (medicine) Visualization Informatik Treatment Outcome Computers Handheld Therapy Computer-Assisted Signal Processing Computer Vision and Pattern Recognition Smartphone medicine.symptom business computer Mobile device Software |
| Popis: | In recent years there has been significant growth in the use of patient-specific models to predict the effects of neuromodulation therapies such as deep brain stimulation (DBS). However, translating these models from a research environment to the everyday clinical workflow has been a challenge, primarily due to the complexity of the models and the expertise required in specialized visualization software. In this paper, we deploy the interactive visualization system ImageVis3D Mobile, which has been designed for mobile computing devices such as the iPhone or iPad, in an evaluation environment to visualize models of Parkinson’s disease patients who received DBS therapy. Selection of DBS settings is a significant clinical challenge that requires repeated revisions to achieve optimal therapeutic response, and is often performed without any visual representation of the stimulation system in the patient. We used ImageVis3D Mobile to provide models to movement disorders clinicians and asked them to use the software to determine: 1) which of the four DBS electrode contacts they would select for therapy; and 2) what stimulation settings they would choose. We compared the stimulation protocol chosen from the software versus the stimulation protocol that was chosen via clinical practice (independently of the study). Lastly, we compared the amount of time required to reach these settings using the software versus the time required through standard practice. We found that the stimulation settings chosen using ImageVis3D Mobile were similar to those used in standard of care, but were selected in drastically less time. We show how our visualization system, available directly at the point of care on a device familiar to the clinician, can be used to guide clinical decision making for selection of DBS settings. In our view, the positive impact of the system could also translate to areas other than DBS. |
| Databáze: | OpenAIRE |
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