Abstract: A treatment couch with a localization array is described.

Abstract: A method of operating a localization array. The method includes providing the localization array in substantially an optimal position. The method also includes maintaining the localization array at substantially the optimal position by controlling movement of the localization array.

Abstract: Localization array position determination in a treatment room coordinate system is described. A method may include imaging, using an imaging system, a position of one or more markers integrated with a localization array in a treatment room and transforming the position of the one or more markers to a treatment room coordinate system. The method also includes determining the position of the localization array in the treatment room coordinate system based on the transforming.

Abstract: Localization array position determination in a treatment room coordinate system is described. A method may include imaging, using an imaging system, a position of one or more markers integrated with a localization array in a treatment room and transforming the position of the one or more markers to a treatment room coordinate system. The method also includes determining the position of the localization array in the treatment room coordinate system based on the transforming.

Abstract: Fiducial localization methods and apparatus are described.

Abstract: Fiducial localization methods and apparatus are described.

Abstract: Treatment targets such as tumors or lesions, located within an anatomical region that undergoes motion (which may be periodic with cycle P) are tracked. A 4D mathematical model may be established for the non-rigid motion and deformation of the anatomical region, from a set of CT or other 3D images. The 4D mathematical model relates the 3D locations of part(s) of the anatomical region with the targets being tracked, as a function of the position in time within P. Using non-rigid image registration between pre-operative and intra-operative images, the position of the target and/or other part(s) of the anatomical region may be determined.

Abstract: Treatment targets such as tumors or lesions, located within an anatomical region that undergoes motion (which may be periodic with cycle P) are tracked. A 4D mathematical model may be established for the non-rigid motion and deformation of the anatomical region, from a set of CT or other 3D images. The 4D mathematical model relates the 3D locations of part(s) of the anatomical region with the targets being tracked, as a function of the position in time within P. Using non-rigid image registration between pre-operative and intra-operative images, the position of the target and/or other part(s) of the anatomical region may be determined.

Abstract: Treatment targets such as tumors or lesions, located within an anatomical region that undergoes motion (which may be periodic with cycle P), are dynamically tracked. A 4D mathematical model is established for the non-rigid motion and deformation of the anatomical region, from a set of CT or other 3D images. The 4D mathematical model relates the 3D locations of part(s) of the anatomical region with the targets being tracked, as a function of the position in time within P. Using fiducial-less non-rigid image registration between pre-operative DRRs and intra-operative x-ray images, the absolute position of the target and/or other part(s) of the anatomical region is determined. The cycle P is determined using motion sensors such as surface markers. The radiation beams are delivered using: 1) the results of non-rigid image registration; 2) the 4D model; and 3) the position in time within P.

Abstract: Treatment targets such as tumors or lesions, located within an anatomical region that undergoes motion (which may be periodic with cycle P), are dynamically tracked. A 4D mathematical model is established for the non-rigid motion and deformation of the anatomical region, from a set of CT or other 3D images. The 4D mathematical model relates the 3D locations of part(s) of the anatomical region with the targets being tracked, as a function of the position in time within P. Using fiducial-less non-rigid image registration between pre-operative DRRs and intra-operative x-ray images, the absolute position of the target and/or other part(s) of the anatomical region is determined. The cycle P is determined using motion sensors such as surface markers. The radiation beams are delivered using: 1) the results of non-rigid image registration; 2) the 4D model; and 3) the position in time within P.

Abstract: A patient positioning assembly is described. The patient positioning assembly including a plate member rotatably mounted on a base member, and an arm extending between a first end and a second end, wherein the first end is rotatably attached to the plate member. The patient positioning assembly further including a support device rotatably attached to the second end of the arm to support a patient thereon, with the support device is configured to move the patient in at least five degrees of freedom.

Abstract: Treatment targets such as tumors or lesions, located within an anatomical region that undergoes motion (which may be periodic with cycle P), are dynamically tracked. A 4D mathematical model is established for the non-rigid motion and deformation of the anatomical region, from a set of CT or other 3D images. The 4D mathematical model relates the 3D locations of part(s) of the anatomical region with the targets being tracked, as a function of the position in time within P. Using fiducial-less non-rigid image registration between pre-operative DRRs and intra-operative x-ray images, the absolute position of the target and/or other part(s) of the anatomical region is determined. The cycle P is determined using motion sensors such as surface markers. The radiation beams are delivered using: 1) the results of non-rigid image registration; 2) the 4D model; and 3) the position in time within P.

Abstract: A robotic patient positioning assembly for therapeutic radiation treatment includes a robotic positioning device for moving and supporting the patient during treatment, a sensor system for detecting the position of the robotic positioning device, and a controller operatively connected with the sensor system for receiving position data of the robotic positioning device and operatively connected to the robotic positioning device for controlling the motions of the robotic positioning device. The controller is adapted for controlling the motion of the robotic positioning device in response to information representative of the position of the robotic positioning device received from the sensor system, so that the treatment target within a patient loaded on the robotic positioning device is properly aligned with a radiation source of a therapeutic radiation treatment system.

Abstract: A patient positioning assembly is described. The patient positioning assembly including a plate member rotatably mounted on a base member, and an arm extending between a first end and a second end, wherein the first end is rotatably attached to the plate member. The patient positioning assembly further including a support device rotatably attached to the second end of the arm to support a patient thereon, with the support device is configured to move the patient in at least five degrees of freedom.

Abstract: A method of robotic patient positioning for radiation treatment using a radiation source with an arm assembly rotatably connected to a support device is described. The method includes moving the support device with respect to the radiation source in at least five degrees of freedom to align a treatment target with respect to the radiation source. Moving the support device includes rotating the support device about first, second and third rotational axes and rotating the arm assembly about fourth and fifth rotational axes. Rotations about the fourth and fifth rotational axes translate the support device for fourth and fifth degrees of freedom of the at least five degrees of freedom.

Abstract: A unified quality assurance technique to verify alignment of a radiation treatment delivery system. In one embodiment, a radiation treatment source is instructed to move to a preset source position. An image of the radiation treatment source at its actual source position is generated and compared against a reference image to determine whether the radiation treatment source correctly achieved the preset source position. In one embodiment, a positioning system is instructed to move a target detector to a preset target position. An image of the target detector at its actual target position is generated and compared against a reference target image to determine whether the positioning system correctly achieved the preset target position.

Abstract: A method and apparatus for quality assurance of an image guided radiation treatment delivery system. A quality assurance (“QA”) marker is positioned at a preset position under guidance of an imaging guidance system of a radiation treatment delivery system. A radiation beam is emitted from a radiation source of the radiation treatment delivery system at the QA marker. An exposure image of the QA marker due to the radiation beam is generated. The exposure image is then analyzed to determine whether the radiation treatment delivery system is aligned.

Abstract: Fiducial localization methods and apparatus are described.

Abstract: A method and apparatus for quality assurance of an image guided radiation treatment delivery system. A quality assurance (“QA”) marker is positioned at a preset position under guidance of an imaging guidance system of a radiation treatment delivery system. A radiation beam is emitted from a radiation source of the radiation treatment delivery system at the QA marker. An exposure image of the QA marker due to the radiation beam is generated. The exposure image is then analyzed to determine whether the radiation treatment delivery system is aligned.

Abstract: A method and apparatus for quality assurance of an image guided radiation treatment delivery system. A quality assurance (“QA”) marker is positioned at a preset position under guidance of an imaging guidance system of a radiation treatment delivery system. A radiation beam is emitted from a radiation source of the radiation treatment delivery system at the QA marker. An exposure image of the QA marker due to the radiation beam is generated. The exposure image is then analyzed to determine whether the radiation treatment delivery system is aligned.