Abstract: A medical imaging device includes an x-ray source disposed at a first end of an arm, and an x-ray detector disposed at a second end of the arm opposite of the x-ray source. At least one of the x-ray source, the x-ray detector, and a portion of the arm are selectively adjustable with respect to the arm.

Abstract: A vaporizer device includes various modular components. The vaporizer device includes a first subassembly. The first subassembly includes a cartridge connector that secures a vaporizer cartridge to the vaporizer device and includes at least two receptacle contacts that electrically communicate with the vaporizer cartridge. The vaporizer device includes a second subassembly. The second subassembly includes a skeleton defining a rigid tray that retains at least a power source. The vaporizer device also includes a third subassembly. The third subassembly includes a plurality of charging contacts that supply power to the power source, and an end cap that encloses an end of the vaporizer device.

Abstract: A powered handle for a surgical stapler can have a drive system including an electric motor. The powered handle can include a manual articulation mechanism to articulate a jaw assembly coupled to a reload shaft connected to the handle. The manual articulation mechanism can include a ball screw mechanism that translates an articulation member responsive to rotation of an articulation knob when an instrument shaft is engaged with the handle. The articulation mechanism includes a release function that allows the jaw assembly to return to a longitudinally centered orientation. The powered handle includes a battery pack serving as a power supply for the drive system. A control system can control actuation of the motor based on user inputs and operating parameters of the stapler and can provide certain motor drive profiles for predetermined positions of the stapler. The powered handle can include a manual return mechanism.

Abstract: A method includes obtaining a first imaging scan and a second imaging scan of a single subject brain. The first imaging scan is converted to a first dataset, and the second imaging scan is converted to a second dataset. A sequence-adaptive multimodal segmentation algorithm is applied to the first dataset and the second dataset. The sequence-adaptive multimodal segmentation algorithm performs automatic intensity-based tissue classification to generate a first labelled dataset and a second labeled dataset. The first labeled dataset and the second labeled dataset are automatically co-registered to each other to generate a transformation matrix based on the first labeled dataset and the second labeled dataset. The transformation matrix is applied to align the first dataset and the second dataset.

Abstract: A method includes obtaining a first imaging scan and a second imaging scan of a single subject brain. The first imaging scan is converted to a first dataset, and the second imaging scan is converted to a second dataset. A sequence-adaptive multimodal segmentation algorithm is applied to the first dataset and the second dataset. The sequence-adaptive multimodal segmentation algorithm performs automatic intensity-based tissue classification to generate a first labelled dataset and a second labeled dataset. The first labeled dataset and the second labeled dataset are automatically co-registered to each other to generate a transformation matrix based on the first labeled dataset and the second labeled dataset. The transformation matrix is applied to align the first dataset and the second dataset.