Abstract: A light-field display with pixel to micro-lens spatial alignment adapted color or brightness. In one embodiment, a first pixel is read from memory. A map is accessed to read a first index that is mapped to a first position of a first emitter in an array of emitters. A first correction data mapped to the first index is read. The first pixel is adjusted using the first correction data. The first emitter emits light based on the adjusted first pixel.

Abstract: Breast density measurements are used to perform Breast Imaging Reporting and Data System (BI-RADS) classification during breast cancer screenings. The accuracy of breast density measurements can be improved by quantitatively processing digital mammographic images. For example, breast segmentation may be performed on a mammographic image to isolate the breast tissue from the background and pectoralis tissue, while a breast thickness adjustment may be performed to compensate for decreased tissue thickness near the skin line of the breast. In some instances, BI-RADS density categorization may consider the degree to which dense tissue is dispersed throughout the breast. A breast density dispersion parameter can also be obtained using quantitative techniques, thereby providing objective BI-RADS classifications that are less susceptible to human error.

Abstract: A method for managing a patient medical case. The method includes: identifying, within a patient medical image of the patient medical case, a first abnormal image region; retrieving, from a reference medical case (RMC) repository and before the patient medical image is displayed to a user, a first set of reference medical cases including reference medical images matching the first abnormal image region; displaying, within a GUI, the patient medical image and at least one of the first set of reference medical cases to the user; receiving, from the user after the patient medical image is displayed, a selection of a second abnormal image region within the patient medical image; retrieving, from the RMC repository, a second set of reference medical cases including reference medical images matching the second abnormal image region; and displaying, with the GUI, at least one of the second set of reference medical cases.

Abstract: A medical image processing apparatus includes a hardware processor. The hardware processor performs the following, defining a plurality of structures in an X-ray image obtained by capturing a living body; estimating signal values attributed to the structures defined in the X-ray image and generating a layer image for each of the structures; determining a factor of enhancement or attenuation for each of the structures; and enhancing or attenuating the signal value of each of the structures in the layer image based on the determined factor of enhancement or attenuation.

Abstract: A method for managing a patient medical case. The method includes: obtaining the patient medical case including a patient medical image and a patient medical record; identifying, within the patient medical image, an abnormal image region; searching a reference medical case database using the abnormal image region as a search criterion; retrieving, from the reference medical case database, reference medical cases including reference medical images matching the abnormal image region and reference medical records corresponding to the reference medical images; receiving, from a user, a selection of a reference medical case of the reference medical cases including a reference medical record and a reference medical diagnosis; and modifying the patient medical record based on the reference medical record and the reference medical diagnosis in the reference medical case.

Abstract: A method for reducing a linear artifact in a medical image. The method includes identifying, in the medical image, a region occupied by the linear artifact and isolating, in the region, a signal intensity component attributed to the linear artifact from an overall signal intensity of the region. The method further includes obtaining a corrected signal intensity by subtracting, in the region, the signal intensity component attributed to the linear artifact from the overall signal intensity of the region, and, after obtaining the corrected signal intensity, correcting a contrast in the region to match the contrast in surrounding regions.

Abstract: A method for managing a patient medical case. The method includes: identifying, within a patient medical image of the patient medical case, a first abnormal image region; retrieving, from a reference medical case (RMC) repository and before the patient medical image is displayed to a user, a first set of reference medical cases including reference medical images matching the first abnormal image region; displaying, within a GUI, the patient medical image and at least one of the first set of reference medical cases to the user; receiving, from the user after the patient medical image is displayed, a selection of a second abnormal image region within the patient medical image; retrieving, from the RMC repository, a second set of reference medical cases including reference medical images matching the second abnormal image region; and displaying, with the GUI, at least one of the second set of reference medical cases.

Abstract: A method for managing a patient medical case. The method includes: obtaining the patient medical case including a patient medical image and a patient medical record; identifying, within the patient medical image, an abnormal image region; searching a reference medical case database using the abnormal image region as a search criterion; retrieving, from the reference medical case database, reference medical cases including reference medical images matching the abnormal image region and reference medical records corresponding to the reference medical images; receiving, from a user, a selection of a reference medical case of the reference medical cases including a reference medical record and a reference medical diagnosis; and modifying the patient medical record based on the reference medical record and the reference medical diagnosis in the reference medical case.

Abstract: Breast density measurements are used to perform Breast Imaging Reporting and Data System (BI-RADS) classification during breast cancer screenings. The accuracy of breast density measurements can be improved by quantitatively processing digital mammographic images. For example, breast segmentation may be performed on a mammographic image to isolate the breast tissue from the background and pectoralis tissue, while a breast thickness adjustment may be performed to compensate for decreased tissue thickness near the skin line of the breast. In some instances, BI-RADS density categorization may consider the degree to which dense tissue is dispersed throughout the breast. A breast density dispersion parameter can also be obtained using quantitative techniques, thereby providing objective BI-RADS classifications that are less susceptible to human error.