Abstract: The present disclosure provides methods, systems, and non-transitory computer-readable media for assessment of disease treatment or progression on a lesion-by-lesion level. The systems and methods are based on measurements of a variety of features including total number of lesions, total number and proportion of lesions regressing or progressing, changes in dimensions of a lesion over time, and uptake values of a molecular imaging agent.

Abstract: A tool for assessing treatment options within a risk-benefit space (plotting risk against benefit) and provides a superimposed boundary indicating patient risk-benefit preference for assessment of these options. The patient risk-benefit preference can be used to identify a preferred treatment option, and interactive controls can be provided to change risk-benefit preference, risk categories, benefit categories, disease type, and the like.

Abstract: A method and apparatus for tracking disease progression as revealed by multiple lesions perform a global optimization to identify corresponding lesions by overlap, for example, after outlines of the lesions have been morphologically dilated. A clustering algorithm addresses the problem of lesions separating into parts or joining together to provide a clear picture of disease progression.

Abstract: A method and apparatus for tracking disease progression as revealed by multiple lesions perform a global optimization to identify corresponding lesions by overlap, for example, after outlines of the lesions have been morphologically dilated. A clustering algorithm addresses the problem of lesions separating into parts or joining together to provide a clear picture of disease progression.

Abstract: A method and apparatus for tracking disease progression as revealed by multiple lesions matches lesions between time-separated scans of a patient through a global process which assesses overlap between all pairs in the scan sequence and links lesion in different images to maximize overlap globally.

Abstract: A system for monitoring organ health during treatment for cancer and the like makes use of physiological imaging of the kind used for treatment monitoring and organ-specific processing to provide a comprehensive assessment of treatment side-effects.

Abstract: A system for monitoring organ health during treatment for cancer and the like makes use of physiological imaging of the kind used for treatment monitoring and organ-specific processing to provide a comprehensive assessment of treatment side-effects.

Abstract: A tool for assessing treatment options within a risk-benefit space (plotting risk against benefit) and provides a superimposed boundary indicating patient risk-benefit preference for assessment of these options. The patient risk-benefit preference can be used to identify a preferred treatment option, and interactive controls can be provided to change risk-benefit preference, risk categories, benefit categories, disease type, and the like.

Abstract: The present disclosure provides methods, systems, and non-transitory computer-readable media for assessment of disease treatment or progression on a lesion-by-lesion level. The systems and methods are based on measurements of a variety of features including total number of lesions, total number and proportion of lesions regressing or progressing, changes in dimensions of a lesion over time, and uptake values of a molecular imaging agent.

Abstract: A method and apparatus for tracking disease progression as revealed by multiple lesions perform a global optimization to identify corresponding lesions by overlap, for example, after outlines of the lesions have been morphologically dilated. A clustering algorithm addresses the problem of lesions separating into parts or joining together to provide a clear picture of disease progression.

Abstract: A system for monitoring organ health during treatment for cancer and the like makes use of physiological imaging of the kind used for treatment monitoring and organ-specific processing to provide a comprehensive assessment of treatment side-effects.

Abstract: A standardized skeleton template is used to normalize medical image data of the skeleton to eliminate variations in the medical image data related to physiological variations in a normal patient thereby better accentuating disease conditions.

Abstract: A standardized skeleton template is used to normalize medical image data of the skeleton to eliminate variations in the medical image data related to physiological variations in a normal patient thereby better accentuating disease conditions.

Abstract: A treatment schedule for radiopharmaceuticals is developed by collecting a volumetric history of tissue uptake in identified volumes of interest using emitted-radiation scans and relating this data to a treatment-radiopharmaceutical to develop a quantitatively accurate radiation treatment schedule of delivery amounts and delivery times of the treatment-radiopharmaceutical. This data may also be used to model biological effective dose and to prepare augmenting external radiation beam treatment schedules.

Abstract: A sensitive method of assessing treatment using molecular and anatomical imaging scans provides automatic tumor identification and quantification within anatomical zones based on treatment criteria. Absolute or comparative measures of tumors in pre- and/or post-scans are thereby isolated from other tissue to accentuate the progress of the treatment when multiple scattered disease lesions are present.

Abstract: A system and method for analyzing medical images of a subject includes acquiring the medical images of the subject and texture images. A computer system determines, using the medical images and the texture feature images, a plurality of segmentation surfaces by iteratively adjusting a relationship between a region growing algorithm that selects a region of interest (ROI) to determine a given segmentation surface and cost function for evaluating the given segmentation surface. The computer system generates a report using the plurality of segmentation surfaces indicating at least boundaries between anatomical structures with functional differences in the medical images.

Abstract: A sensitive method of assessing treatment using molecular and anatomical imaging scans provides automatic tumor identification and quantification within anatomical zones based on treatment criteria. Absolute or comparative measures of tumors in pre- and/or post-scans are thereby isolated from other tissue to accentuate the progress of the treatment when multiple scattered disease lesions are present.

Abstract: A sensitive method of assessing treatment using molecular and anatomical imaging scans provides automatic tumor identification and quantification within anatomical zones based on treatment criteria. Absolute or comparative measures of tumors in pre- and/or post-scans are thereby isolated from other tissue to accentuate the progress of the treatment when multiple scattered disease lesions are present.

Abstract: A system and method for analyzing medical images of a subject includes acquiring the medical images of the subject and texture images. A computer system determines, using the medical images and the texture feature images, a plurality of segmentation surfaces by iteratively adjusting a relationship between a region growing algorithm that selects a region of interest (ROI) to determine a given segmentation surface and cost function for evaluating the given segmentation surface. The computer system generates a report using the plurality of segmentation surfaces indicating at least boundaries between anatomical structures with functional differences in the medical images.

Abstract: A sensitive method of assessing treatment using molecular and anatomical imaging scans provides automatic tumor identification and quantification within anatomical zones based on treatment criteria. Absolute or comparative measures of tumors in pre- and/or post-scans are thereby isolated from other tissue to accentuate the progress of the treatment when multiple scattered disease lesions are present.