Abstract: In some embodiments of the present invention, a method of reducing artifacts includes obtaining OCT/OCTA data from an OCT/OCTA imager; preprocessing OCTA/OCT volume data; extracting features from the preprocessed OCTA/OCT volume data; classifying the OCTA/OCT volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.

Abstract: In some embodiments of the present invention, a method of reducing artifacts includes obtaining OCT/OCTA data from an OCT/OCTA imager; preprocessing OCTA/OCT volume data; extracting features from the preprocessed OCTA/OCT volume data; classifying the OCTA/OCT volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.

Abstract: A method for enhancing a digital image comprises the following steps.1. Providing a digital image.2. Decomposing the image into a multiresolution representation having low frequency images and high frequency images.3. Performing dynamic range modification on the low frequency images.4. Modifying the high frequency images with a method incorporating noise estimation, anatomical regions of importance, and edge estimation, such modification being a combination of attenuation and amplification.5. Combining the processed resolution images to form a resulting image.6. Shifting the pixel values of the resulting image to map the values into a desired range.7. Applying a tonescale to the shifted image for display.

Abstract: An automated method and apparatus are disclosed for detecting the irradiation field of a radiographic image, wherein digital image data is acquired and subjected to multiple phases of digital imaging processes. The image is first acquired by a radiation image recording apparatus through a landmark-synthesizing device that generates landmark patterns on the acquired image. These patterns are indicative of where the irradiation field is located, and are subsequently detected by digital image processing techniques. Next, the irradiation field is robustly and efficiently identified through these landmark patterns. An irradiation map is then created that functions as a template for any further image processing to be done on the irradiation field. Once the irradiation field is identified, the landmark patterns are removed from the acquired image using digital image processing techniques if desired.

Abstract: A digital radiographic image is segmented into various regions and a region thereof is further decomposed into subregions, wherein digital image data is acquired and subjected to multiple phases of digital imaging processes. The region decomposition method first uses progressively smoothing techniques to generate smoothed regions at multiple scales. Next, the number of connected components at each scale is computed for each smoothed region. A shape spectrum, which is the number of connected components as a function of scale, is subsequently constructed to determine the most stable range of scales and the most stable number of subregions into which the region is decomposed. Each pixel is then classified into subregions, according to the geometrical relationship of the connected components detected at most stable scales. Finally, a decomposed map is generated to function as multivalued templates for any further image processing to be done on various decomposed subregions.

Abstract: A digital image processing method automatically separates (segments) the desired regions in a digital radiographic image (i.e., the body part being imaged) from the undesired regions (background areas around the body part that have received unattenuated radiation or foreground areas that have received very little radiation due to the use of radiation limiting devices). The method includes the steps of edge detection, block generation, block classification, block refinement and bit map generation.