Abstract: These teachings provide for quickly yet accurately forming an influence matrix by generating the influence matrix via integration with a Monte Carlo particle transport simulation. The resultant influence matrix can then be utilized in an ordinary manner when optimizing a radiation treatment plan. By one approach, the foregoing comprises generating the influence matrix via integration with a Monte Carlo particle transport simulation on a particle-by-particle basis. For example, for each particle, these teachings can provide for identifying a spot to which the particle belongs and then adding a dose deposited by the particle during transport to an influence matrix element that corresponds to a spot to which the particle belongs and a voxel to where the dose was deposited.

Abstract: An apparatus for determining material property, includes: an interface configured to obtain a first HU value associated with a first image of an object, and to obtain a second HU value associated with a second image of the object, wherein the first image is created using a first energy having a first energy level, and wherein the second image is created using a second energy having a second energy level that is different from the first energy level; and a processing unit configured to determine a weighted property value for the object based at least in part on the first HU value and the second HU value.

Abstract: An apparatus for determining material property, includes: an interface configured to obtain a first HU value associated with a first image of an object, and to obtain a second HU value associated with a second image of the object, wherein the first image is created using a first energy having a first energy level, and wherein the second image is created using a second energy having a second energy level that is different from the first energy level; and a processing unit configured to determine a weighted property value for the object based at least in part on the first HU value and the second HU value.

Abstract: System includes a beam generator to generate beam(s) for patient treatment and a computing device that obtains three-dimensional image(s) of a target structure that repositions with respect to surrounding tissue of the patient. The computing device creates plan(s) including a first three-dimensional probability distribution of patient's position and a second three-dimensional probability distribution of the repositioned structure's internal position. The computing device combines the first distribution with the second distribution to generate a joint distribution and selects a probability level from the joint distribution. The probability level defines an enclosed surface. A distance defined between the surface and a point of origin in at least one direction is equal to a threshold value of a parameter of the repositioned target in the direction.

Abstract: System includes a beam generator to generate beam(s) for patient treatment and a computing device that obtains three-dimensional image(s) of a target structure that repositions with respect to surrounding tissue of the patient. The computing device creates plan(s) including a first three-dimensional probability distribution of patient's position and a second three-dimensional probability distribution of the repositioned structure's internal position. The computing device combines the first distribution with the second distribution to generate a joint distribution and selects a probability level from the joint distribution. The probability level defines an enclosed surface. A distance defined between the surface and a point of origin in at least one direction is equal to a threshold value of a parameter of the repositioned target in the direction.

Abstract: System includes a beam generator to generate beam(s) for patient treatment and a computing device that obtains three-dimensional image(s) of a target structure that repositions with respect to surrounding tissue of the patient. The computing device creates plan(s) including a first three-dimensional probability distribution of patient's position and a second three-dimensional probability distribution of the repositioned structure's internal position. The computing device combines the first distribution with the second distribution to generate a joint distribution and selects a probability level from the joint distribution. The probability level defines an enclosed surface. A distance defined between the surface and a point of origin in at least one direction is equal to a threshold value of a parameter of the repositioned target in the direction.

Abstract: System includes a beam generator to generate beam(s) for patient treatment and a computing device that obtains three-dimensional image(s) of a target structure that repositions with respect to surrounding tissue of the patient. The computing device creates plan(s) including a first three-dimensional probability distribution of patient's position and a second three-dimensional probability distribution of the repositioned structure's internal position. The computing device combines the first distribution with the second distribution to generate a joint distribution and selects a probability level from the joint distribution. The probability level defines an enclosed surface. A distance defined between the surface and a point of origin in at least one direction is equal to a threshold value of a parameter of the repositioned target in the direction.