Modern X-ray imaging systems evolve toward digitization for reduced cost, faster time-to-diagnosis, and improved diagnostic confidence. For the digital X-ray systems, charge coupled device (CCD) technology is commonly used to detect and digitize optical X-ray image. This paper presents a novel soft-test/repair approach to overcome the defective pixel problem in CCD-based digital X-ray systems through theoretical modeling and analysis of the test/repair process. There are two possible solutions to cope with the defective pixel problem in CCDs: one is the hard-repair approach and another is the proposed soft-test/repair approach. Hard-repair approach employs a high-yield, expensive reparable CCD to minimize the impact of hard defects on the CCD, which occur in the form of noise propagated through A/D converter to the frame memory. Therefore, less work is needed to filter and correct the image at the end-user level while it maybe exceedingly expensive to practice. On the other hand, the proposed soft-test/repair approach is to detect and tolerate defective pixels at the digitized image level; thereby, it is inexpensive to practice and on-line repair can be done for noninterrupted service. It tests the images to detect the detective pixels and filter noise at the frame memory level and caches them in a flash memory in the controller for future repair. The controller cache keeps accumulating all the noise coordinates and preprocesses the incoming image data from the A/D converter by repairing them. The proposed soft-test/repair approach is particularly devised to facilitate hardware level implementation ultimately for real-time telediagnosis. Parametric simulation results demonstrate the speed and virtual yield enhancement by using the proposed approach; thereby highly reliable, yet inexpensive, soft-test/repair of CCD-based digital X-ray systems can be ultimately realized.
B. Jin et al., "Modeling and Analysis of Soft-test/Repair for CCD-Based Digital X-Ray Systems," IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at http://dx.doi.org/10.1109/TIM.2003.818735
Electrical and Computer Engineering
Keywords and Phrases
A/D Converter; CCD Image Sensors; CCD-Based Digital X-Ray Systems; X-Ray Detection; X-Ray Imaging Systems; Analogue-Digital Conversion; Biomedical Equipment; Calibration; Defective Pixel Problem; Diagnostic Confidence; Diagnostic Radiography; Digitized Image; Hardware Level Implementation; Medical Image Processing; Real-Time Telediagnosis; Soft Defects; Soft-Test/Repair Approach; Virtual Yield Enhancement
International Standard Serial Number (ISSN)
Article - Journal
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