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The development of more flexible and accurate medical image processing technique and platform is important requirement for clinical diagnosis and treatment. A new interactive image processing method is proposed in this work. Using this method, image smoothing, sharpening, histogram processing, pseudo-color processing, segmentation, reading, local amplification and measurement for medical image in DICOM format can be realized. Application of the method for processing human CT image data demonstrated the method is a convenient and flexible approach for medical image processing. This user-friendly image processing technique could be clinically useful to assist image analysis and diagnosis.
Date of Conference: 17-19 Oct. 2009