Facial Recognition From Volume-Rendered Magnetic Resonance Imaging Data
| Autor: | M. Pringle, Linda J. Larson-Prior, Sanjeev N. Vaishnavi, Fred W. Prior, Charles F. Hildebolt, Tracy S. Nolan, Barry S. Brunsden |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Adult
Male Visual perception Adolescent Iterative reconstruction Facial recognition system Statistics Nonparametric Imaging Three-Dimensional Neuroimaging Medical imaging Humans Medicine Computer vision Electrical and Electronic Engineering medicine.diagnostic_test business.industry Health Insurance Portability and Accountability Act Recognition Psychology Magnetic resonance imaging General Medicine Middle Aged Magnetic Resonance Imaging Confidence interval Computer Science Applications Pattern Recognition Visual Privacy Face Visual Perception Female Artificial intelligence Tomography X-Ray Computed business Confidentiality Biotechnology |
| Zdroj: | IEEE Transactions on Information Technology in Biomedicine. 13:5-9 |
| ISSN: | 1089-7771 |
| DOI: | 10.1109/titb.2008.2003335 |
| Popis: | Three-dimensional (3-D) reconstructions of computed tomography (CT) and magnetic resonance (MR) brain imaging studies are a routine component of both clinical practice and clinical and translational research. A side effect of such reconstructions is the creation of a potentially recognizable face. The Health Insurance Portability and Accountability Act of 1996 (HIPAA) Privacy Rule requires that individually identifiable health information may not be used for research unless identifiers that may be associated with the health information including ldquoFull face photographic images and other comparable imagesrdquo are removed (de-identification). Thus, a key question is: Are reconstructed facial images comparable to full-face photographs for the purpose of identification? To address this question, MR images were selected from existing research repositories and subjects were asked to pair an MR reconstruction with one of 40 photographs. The chance probability that an observer could match a photograph with its 3-D MR image was 1 in 40 (0.025), and we considered 4 successes out of 40 (4/40, 0.1) to indicate that a subject could identify persons' faces from their 3-D MR images. Forty percent of the subjects were able to successfully match photographs with MR images with success rates higher than the null hypothesis success rate. The Blyth-Still-Casella 95% confidence interval for the 40% success rate was 29%-52%, and the 40% success rate was significantly higher (P< 0.001) than our null hypothesis success rate of 1 in 10 (0.10). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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