Abstract: Certain embodiments are directed to a method, system, or apparatus, such as a medical imaging device. The method can include retrieving data from a worksheet or form repository server. The data can include one or more fields of a customized worksheet or form. The one or more fields can be based on at least one of an identification of a user, a location of the medical imaging device, or a medical department using the medical imaging device. The method can also include recreating the customized worksheet or form at the medical imaging device based on the received data, and displaying the recreated customized worksheet or form on a graphical user interface connected to the medical imaging device. In addition, the method can include producing a medical image via the medical imaging device, and automatically forwarding the customized worksheet or form and the medical image to a billable workflow or an educational workflow.

Abstract: Certain embodiments are directed to a method, system, or apparatus, such as a medical imaging device. The method can include retrieving data from a worksheet or form repository server. The data can include one or more fields of a customized worksheet or form. The one or more fields can be based on at least one of an identification of a user, a location of the medical imaging device, or a medical department using the medical imaging device. The method can also include recreating the customized worksheet or form at the medical imaging device based on the received data, and displaying the recreated customized worksheet or form on a graphical user interface connected to the medical imaging device. In addition, the method can include producing a medical image via the medical imaging device, and automatically forwarding the customized worksheet or form and the medical image to a billable workflow or an educational workflow.

Abstract: An apparatus includes: a structure for coupling to a patient; a plurality of reflective markers coupled to the structure, wherein the reflective markers are configured to reflect non-visible light; and a securing mechanism configured to secure the structure relative to the patient. An apparatus includes: a first light source configured to project a first structured light onto an object, wherein the first structured light is non-visible; a first camera configured to obtain a first image of the first structured light as projected onto the object; a second camera configured to obtain a second image of the first structured light as projected onto the object; and a processing unit configured to process the first and second images from the first camera and the second camera; wherein the first camera and the second camera are configured for non-visible light detection.

Abstract: Various embodiments disclose systems and methods for tracking regions (e.g., tumor locations) within living organisms. Some embodiments provide real-time, highly accurate, low latency measurements of tumor location even as the tumor moves with internal body motions. Such measurements may be suitable for closed-loop radiation delivery applications where radiation therapy may be continuously guided to the tumor site even as the tumor moves. Tumor motion may be associated with periodic motion (e.g., respiratory, cardiac) or aperiodic motion (e.g., gross patient motion, internal bowel motion). Various embodiments facilitate accurate radiation delivery to tumor sites exhibiting significant motion, e.g., lung, breast, and liver tumors.

Abstract: A method of detecting a possible collision in a medical procedure that involves a medical system, includes: obtaining an image of a patient that is supported on a patient support; determining a first model using a processing unit based at least in part on the image, at least a part of the first model representing a surface of the patient; determining a second model using the processing unit, the second model representing a first component of the medical system; virtually moving the first model, the second model, or both, using a collision prediction mechanism to simulate a movement of the first component of the medical system to determine whether there is a possible collision between the first component and the patient; and generating an output to indicate the possible collision or an absence of the possible collision.

Abstract: A method of detecting a possible collision in a medical procedure that involves a medical system, includes: obtaining an image of a patient that is supported on a patient support; determining a first model using a processing unit based at least in part on the image, at least a part of the first model representing a surface of the patient; determining a second model using the processing unit, the second model representing a first component of the medical system; virtually moving the first model, the second model, or both, using a collision prediction mechanism to simulate a movement of the first component of the medical system to determine whether there is a possible collision between the first component and the patient; and generating an output to indicate the possible collision or an absence of the possible collision.

Abstract: Various embodiments disclose systems and methods for tracking regions (e.g., tumor locations) within living organisms. Some embodiments provide real-time, highly accurate, low latency measurements of tumor location even as the tumor moves with internal body motions. Such measurements may be suitable for closed-loop radiation delivery applications where radiation therapy may be continuously guided to the tumor site even as the tumor moves. Tumor motion may be associated with periodic motion (e.g., respiratory, cardiac) or aperiodic motion (e.g., gross patient motion, internal bowel motion). Various embodiments facilitate accurate radiation delivery to tumor sites exhibiting significant motion, e.g., lung, breast, and liver tumors.

Abstract: A distributed networked data acquisition system having distributed networked data acquisition devices based on embedded Linux development platform having an ARM9 CPU is proposed. The system is defined as one or more distributed networked data acquisition devices together with a host. The host could dynamically display data and also coordinate and control the many distributed networked data acquisition devices. Each distributed networked data acquisition device is connected with the host by means of transmission media. The distributed networked data acquisition devices adopts the distributed data acquisition network to implement multi-point data acquisition having many distributed networked data acquisition devices working together and using several UTPs to connect with the distributed networked data acquisition devices in various distribution points.

Abstract: A distributed networked data acquisition system having distributed networked data acquisition devices based on embedded Linux development platform having an ARM9 CPU is proposed. The system is defined as one or more distributed networked data acquisition devices together with a host. The host could dynamically display data and also coordinate and control the many distributed networked data acquisition devices. Each distributed networked data acquisition device is connected with the host by means of transmission media. The distributed networked data acquisition devices adopts the distributed data acquisition network to implement multi-point data acquisition having many distributed networked data acquisition devices working together and using several UTPs to connect with the distributed networked data acquisition devices in various distribution points.