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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jee Hoo Kim YeonHwa Lee Jinbum Kang Yangmo Yoo |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea (Jee Hoo Kim; YeonHwa Lee; Jinbum Kang; Yangmo Yoo) |
| Abstract | Dynamic range (DR) is one of the most essential parameters that determine the image quality and feature representation in ultrasound B-mode imaging. Thus, the automatic DR adjustment (ADRA) method was previously proposed for reducing user dependency and improving image quality. In this paper, for a smart phone based point-of-care ultrasound imaging system, the real-time realization of the ADRA method on a smart phone using a mobile GPU is presented. The ADRA method was implemented on the NEXUS 4 running on the Android 4.3 by utilizing the several graphics pipelines supported from the OpenGL ES platform. For evaluating the real-time ADRA method, 200 frames of in vivo abdominal data were acquired by a 3.5-MHz convex array transducer from with a commercial ultrasound scanner equipped with a research package (Accuvix V10, Samsung Medison, Seoul, Korea). The GPU-based ADRA method showed the enhanced contrast-to-noise ratio (CNR) compared to the conventional method with a fixed DR value, i.e., 3.89±0.71 vs. 3.35±0.88, respectively. In addition, it showed a higher frame rate (i.e., >60 frames/sec) compared to the CPU-based ADRA method while providing the comparable CNR value. These results indicate that the ADRA method can be successfully supported in the smartphone while improving the image quality with less user dependency. |
| Starting Page | 1229 |
| Ending Page | 1232 |
| File Size | 2606047 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479970490 |
| DOI | 10.1109/ULTSYM.2014.0303 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ultrasonic imaging Imaging Graphics processing units Dynamic range Pipelines Image quality Real-time systems Automatic Image Optimization Automatic Dynamic Range Adjustment Point-of-Care Ultrasound |
| Content Type | Text |
| Resource Type | Article |
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