Abstract: A method, including a computer-implemented method, is provided for in vivo detection of epidermal growth factor receptor (EGFR) mutation status within peritumoral edematous tissue of a patient. The method includes performing quantitative pattern analysis of magnetic resonance imaging (MRI) data corresponding to MRI of in vivo peritumoral edematous tissue to determine a level of spatial heterogeneity or similarity within the in vivo peritumoral edematous tissue. EGFR mutation status is assigned as one of negative or positive based on the level of spatial heterogeneity or similarity determined. A non-transitory computer-readable storage medium and a system are also provided.

Abstract: A method, including a computer-implemented method, is provided for in vivo detection of epidermal growth factor receptor (EGFR) mutation status within peritumoral edematous tissue of a patient. The method includes performing quantitative pattern analysis of magnetic resonance imaging (MRI) data corresponding to MRI of in vivo peritumoral edematous tissue to determine a level of spatial heterogeneity or similarity within the in vivo peritumoral edematous tissue. EGFR mutation status is assigned as one of negative or positive based on the level of spatial heterogeneity or similarity determined. A non-transitory computer-readable storage medium and a system are also provided.

Abstract: Methods, systems, and computer readable media for automated detection of abnormalities in medical images are disclosed. According to a method for automated abnormality detection, the method includes receiving a target image. The method also includes deformably registering to the target image or to a common template a subset of normative images from a plurality of normative images, wherein the subset of normative images is associated with a normal variation of an anatomical feature. The method further includes defining a dictionary using the subset of normative images. The method also includes decomposing, using sparse decomposition and the dictionary, the target image. The method further includes classifying one or more voxels of the target image as normal or abnormal based on results of the sparse decomposition.

Abstract: A method, including a computer-implemented method, is provided for in vivo detection of epidermal growth factor receptor (EGFR) mutation status within peritumoral edematous tissue of a patient. The method includes performing quantitative pattern analysis of magnetic resonance imaging (MRI) data corresponding to MRI of in vivo peritumoral edematous tissue to determine a level of spatial heterogeneity or similarity within the in vivo peritumoral edematous tissue. EGFR mutation status is assigned as one of negative or positive based on the level of spatial heterogeneity or similarity determined. A non-transitory computer-readable storage medium and a system are also provided.

Abstract: Methods, systems, and computer readable media for automated detection of abnormalities in medical images are disclosed. According to a method for automated abnormality detection, the method includes receiving a target image. The method also includes deformably registering to the target image or to a common template a subset of normative images from a plurality of normative images, wherein the subset of normative images is associated with a normal variation of an anatomical feature. The method further includes defining a dictionary using the subset of normative images. The method also includes decomposing, using sparse decomposition and the dictionary, the target image. The method further includes classifying one or more voxels of the target image as normal or abnormal based on results of the sparse decomposition.

Abstract: A method of atlas mapping and an apparatus for image mapping are provided. The method includes generating a four dimensional template, linearly transforming the four dimensional representation of a subject to the four dimensional template, generating attribute vectors for a plurality of points of the linearly transformed four dimensional representation of the subject and of the four dimensional template, the plurality of points consisting of a plurality of temporally successive voxels of the four dimensional representation of the subject and of the four dimensional template, evaluating the generated attribute vectors to identify points in the four dimensional template that correspond to the four dimensional representation of the subject, and deforming the four dimensional template to the four dimensional representation of the subject according to relative positions of the corresponding points of the linearly transformed four dimensional representation of the subject and of the four dimensional template.

Abstract: A method of atlas mapping and an apparatus for image mapping are provided. The method includes generating a four dimensional template, linearly transforming the four dimensional representation of a subject to the four dimensional template, generating attribute vectors for a plurality of points of the linearly transformed four dimensional representation of the subject and of the four dimensional template, the plurality of points consisting of a plurality of temporally successive voxels of the four dimensional representation of the subject and of the four dimensional template, evaluating the generated attribute vectors to identify points in the four dimensional template that correspond to the four dimensional representation of the subject, and deforming the four dimensional template to the four dimensional representation of the subject according to relative positions of the corresponding points of the linearly transformed four dimensional representation of the subject and of the four dimensional template.