Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Computed tomography (CT) can rapidly provide high-resolution cross-section images for clinical diagnosis. The image contrast of the CT strongly influences the visibility of lesions in the images. Hover, the low material-dependent characteristic of the Compton scattering (CS) lors the image contrast. In this study, a novel physical model-based method was proposed to enhance the contrast of CT images. At first, relationships beten CT number and tissue parameters re determined using the CT images and elemental composition of tissue equivalent rods. Then, the CT images to be enhanced re converted to tissue parameter maps using pre-determined relationships. By using a classical parametric fit model, partial attenuation images with enhanced image contrast can be calculated. A phantom CT image and an abdominal CT image re used to evaluate the performance of the proposed method. For the phantom CT image, the image contrast beten rods and background solid water re enhanced. For the abdominal CT image, the visibility of a low-attenuation lesion in the right lobe of the liver was improved. In conclusion, the proposed method could be applied in clinical diagnosis to improve the visibility of CT images.
['Yi-Wen Chen', 'Cheng-Ting Shih', 'Hsin-Hon Lin', 'Keh-Shih Chuang']
I am writing a research paper on a idea Physical Model-Based Contrast Enhancement of Computed Tomography Images: Contrast Enhancement of Computed Tomography
[{"from": "human", "value": "I am writing a research paper on a idea Physical Model-Based Contrast Enhancement of Computed Tomography Images: Contrast Enhancement of Computed Tomography"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Computed tomography (CT) can rapidly provide high-resolution cross-section images for clinical diagnosis. The image contrast of the CT strongly influences the visibility of lesions in the images. Hover, the low material-dependent characteristic of the Compton scattering (CS) lors the image contrast. In this study, a novel physical model-based method was proposed to enhance the contrast of CT images. At first, relationships beten CT number and tissue parameters re determined using the CT images and elemental composition of tissue equivalent rods. Then, the CT images to be enhanced re converted to tissue parameter maps using pre-determined relationships. By using a classical parametric fit model, partial attenuation images with enhanced image contrast can be calculated. A phantom CT image and an abdominal CT image re used to evaluate the performance of the proposed method. For the phantom CT image, the image contrast beten rods and background solid water re enhanced. For the abdominal CT image, the visibility of a low-attenuation lesion in the right lobe of the liver was improved. In conclusion, the proposed method could be applied in clinical diagnosis to improve the visibility of CT images."}]