Method, system, software and medium for advanced intelligent image analysis and display of medical images and information

摘要

Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D/3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural/morphological/kinetic features) from lesion-based or voxel-based analyzes. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique. Output to 3D shows relationships of the unknown case to a cloud of known or unlabeled cases, in which the cloud demonstrates the structure of the population of patients with and without the disease.

主权项

1. A non-transitory computer-readable medium storing thereon executable instructions, that when executed by a computer, cause the computer to execute a process for determining a probability of a disease state of a patient, the process comprising:
obtaining medical data including at least one of a medical image, medical image data, and data representative of a clinical examination of the patient; segmenting a lesion indicated in the medical data; extracting features of the lesion based on the segmented lesion; calculating features based on lesion analysis or voxel analyses, the calculated features establishing a high-dimensional feature space for the lesion which is beyond three-dimensions; reducing the high-dimensional feature space to a reduced dimensional space of two or three dimensions; and displaying a data point on the reduced dimensional space which represents the lesion for the patient, together with data points which represent lesions for other patients according to the reduced dimensional space.