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Basic Medical Imaging Processing and Analysis
This document discusses basic medical image processing and analysis techniques. It covers topics such as basic image processing to enhance raw medical data, basic image analysis to supplement qualitative assessment, quality evaluation to assess new hardware and software, statistical analysis and entropy to provide a theoretical framework, coding and decoding of medical images, stable and unstable signal processing, common image transforms, pre-processing to remove artifacts and enhance images, post-processing to derive additional data, and medical image display.
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Introduction to basic medical image processing, enhancing raw data, and qualitative assessment techniques.
Quality evaluation is essential for assessing hardware, software, and imaging techniques in the medical field.
Statistical analysis bridges the gap in medical imaging, providing a theoretical framework for technology investigation.
Presentation of coding and decoding processes that enhance speed and accuracy in medical image storage.
Discussion on stable vs. unstable systems in signal processing, emphasizing BIBO criteria for stability.
Image transformations such as Hough and Fourier Transform are vital for feature identification in medical images.
Image pre-processing enhances medical images by removing artifacts and focusing on relevant data.
Post-processing techniques manipulate radiographic images to acquire additional qualitative or quantitative insights.
Importance of reliable image display systems for information technology in modern radiology departments.
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Basic Medical Imaging Processing and Analysis
- 1. Basic Medical ImageProcessing and Analysis
- 2. Basic ImageProcessing Deals withthe development of problem specific approaches to enhance the raw medical data for the purpose of selective visualization as well as further analysis.
- 3. Basic ImageAnalysis Concentrates onthe development of techniques to supplement the usually qualitative and frequently subjective assessment of medical image by human experts.
- 4. QualityEvaluation Plays an importantrole in assessing any new hardware, software, image acquisition techniques, image reconstruction or post- processing algorithms.
- 5. StatisticalAnalysisand Entropy Statistics ofmedical imaging fills the gap and provides a theoretical framework for statistical investigation into medical imaging technologies.
- 6. Codingand Decoding Color informationin digital images is used for many practical purpose, mainly in security fields and also with gray scale images applications.
- 8. Codingand Decoding This paperintroduces an encoding decoding process for medical images. This method gives more speed and accuracy in the process of encryption and decryption, where speed is needed for storing a large number of medical images from different scanning departments and these images are characterized by larger sizes than average.
- 9. Stableand Unstable SignalProcessing • The system is said to be stable only when the output is bounded for bounded input. For a bounded input, if the output is unbounded in the system then it is said to be Unstable. • A stable system satisfies the BIBO. • (Bounded input for Bounded Output) means finite in amplitude.
- 10. Transformation An image transformationcan be applied to an image to convert it from one domain to another. Viewing an image in domains such as frequency or hough space enables the identification of features that may not be easily detected in the spatial domain.
- 11. CommonImageTransforms include: • HoughTransform • Radon Transform • Discrete Cosine Transform • Discrete Fourier Transform • Wavelet Transform
- 12. Pre-Medical Image Processing Imagepre-processing technique that not only removes unwanted artifacts from the medical image but also enhances the required portion.
- 13. Post Medical ImageProcessing Advanced post-processing describes the manipulation of radiographic images to derive additional qualitative or quantitative data.
- 14. Medical Image Display Theadequate and repeatable performance of the image display system is a key element of information technology platforms in a modern radiology department.