Abstract: The treatment planning engine empowers radiation treatment decision makers, such as a physician, to efficiently identify effective radiation treatment outcomes for a given patient during the contouring stage. Specifically, using the treatment planning engine, the physician may iteratively and in real-time evaluate different treatment outcomes for a patient before selecting an optimal outcome that will guide the delivery of radiation treatment to the patient. By providing real-time information as to potential toxicity and treatment efficacy during the contouring stage, the physician is empowered to make informed decisions at the preliminary contouring stage.

Abstract: The treatment planning engine empowers radiation treatment decision makers, such as a physician, to efficiently identify effective radiation treatment outcomes for a given patient during the contouring stage. Specifically, using the treatment planning engine, the physician may iteratively and in real-time evaluate different treatment outcomes for a patient before selecting an optimal outcome that will guide the delivery of radiation treatment to the patient. By providing real-time information as to potential toxicity and treatment efficacy during the contouring stage, the physician is empowered to make informed decisions at the preliminary contouring stage.

Abstract: The treatment planning engine empowers radiation treatment decision makers, such as a physician, to efficiently identify effective radiation treatment outcomes for a given patient during the contouring stage. Specifically, using the treatment planning engine, the physician may iteratively and in real-time evaluate different treatment outcomes for a patient before selecting an optimal outcome that will guide the delivery of radiation treatment to the patient. By providing real-time information as to potential toxicity and treatment efficacy during the contouring stage, the physician is empowered to make informed decisions at the preliminary contouring stage.

Abstract: The treatment planning engine empowers radiation treatment decision makers, such as a clinician, to efficiently identify optimal radiation treatment results for a given patient. Specifically, the treatment planning engine generates a set of recommended treatment results based on patient images, patient contours, and prior patient data. A user interface simultaneously displays the patient images and contours with the recommended treatment results. The clinician is able to adjust the contours in the user interface and, in real-time, evaluate the impact on the tumor volume and the toxicity risk to the nearby anatomical structures. With the user interface, the clinician can visualize the relationship between radiation delivery to the contours and the resulting recommended treatment results, allowing the clinician to make informed decisions about certain trade-offs during radiation treatment planning for the patient.

Abstract: The treatment planning engine empowers radiation treatment decision makers, such as a clinician, to efficiently identify optimal radiation treatment results for a given patient. Specifically, the treatment planning engine may identify prior patients associated with previously-administered treatment plans and treatment results, wherein the identified prior patients are similar to a current patient who is to receive radiation treatment. The treatment planning engine generates a set of treatment results for the current patient treatment based on the identified prior patient treatment results. A user interface displays the generated set of treatment results. The clinician is able to input specific criteria, such as features of the patient's medical history, into the user interface to filter and modify the displayed set of treatment results based on a similarity between the medical history of the prior patients and the current patient.

Abstract: A system for determining parameters of porous media or material, which in an embodiment is biological tissue, includes an actuator and a displacement monitor. The actuator is adapted to apply a displacement to tissue at a particular frequency selected from a range of frequencies, and the force monitor adapted to monitor a mechanical response of tissue. The system also has a processor coupled to drive the actuator and to read the mechanical response, the processor coupled to execute from memory a poroelastic model of mechanical properties of the material, and a convergence procedure for determining parameters for the poroelastic model such that the model predicts mechanical response of the tissue to within limits.

Abstract: The treatment planning engine empowers radiation treatment decision makers, such as a physician, to efficiently identify effective radiation treatment outcomes for a given patient during the contouring stage. Specifically, using the treatment planning engine, the physician may iteratively and in real-time evaluate different treatment outcomes for a patient before selecting an optimal outcome that will guide the delivery of radiation treatment to the patient. By providing real-time information as to potential toxicity and treatment efficacy during the contouring stage, the physician is empowered to make informed decisions at the preliminary contouring stage.

Abstract: A system for determining parameters of porous media or material, which in an embodiment is biological tissue, includes an actuator and a displacement monitor. The actuator is adapted to apply a displacement to tissue at a particular frequency selected from a range of frequencies, and the force monitor adapted to monitor a mechanical response of tissue. The system also has a processor coupled to drive the actuator and to read the mechanical response, the processor coupled to execute from memory a poroelastic model of mechanical properties of the material, and a convergence procedure for determining parameters for the poroelastic model such that the model predicts mechanical response of the tissue to within limits.