Configurable real-time motion estimation for medical imaging: application to X-ray and ultrasound
| Autor: | Hans-Aloys Wischmann, Laurence Rouet, Nikolai Abramov, Maxim Fradkin |
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| Rok vydání: | 2015 |
| Předmět: |
Lossless compression
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Image processing Motion detection 02 engineering and technology Lossy compression Frame rate Motion estimation 0202 electrical engineering electronic engineering information engineering Medical imaging 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Information Systems Jitter |
| Zdroj: | Journal of Real-Time Image Processing. 13:147-160 |
| ISSN: | 1861-8219 1861-8200 |
| DOI: | 10.1007/s11554-015-0543-1 |
| Popis: | Motion estimation is a key building block of image processing pipelines in many different contexts, ranging from efficient coding of video sequences in the consumer electronics domain (TV, DVD, BD) to professional medical applications. Many block-matching approaches have been proposed in the literature for motion detection and compensation in general, including both lossless and lossy algorithms. However, in real-time medical imaging applications, characterized by high frame rates, the needs for low latency and jitter, accuracy and robustness against noise are quite difficult to achieve with standard block-matching methods. We introduce a new hybrid image processing approach to block-matching that takes advantage of both types of algorithms (lossless and lossy), adapts to the image content and noise, and provides high flexibility for the speed/accuracy tradeoff. The presented approach has been successfully tested on interventional X-ray fluoroscopy and cardiac ultrasound images sequences. |
| Databáze: | OpenAIRE |
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