Abstract: A generative adversarial network (GAN) (21, 24), or any other generative modeling technique, is used to learn (12) how to generate (68) an optimal robotic system given performance, operation, safety, or any other specifications. For instance, the specifications may be modeled (65) relative to anatomy to confirm satisfaction of anatomy-based or another task specific constraint. A machine-learning system, for instance neural network, is trained (12) to translate given specifications to a robotic configuration. The network may convert task-specific specifications into one or more configurations of robot modules into a robotic system. The user may enter (67) changes to performance in order for the network to estimate (62) appropriate configurations. The configurations may be converted (64) to estimated performance by another machine-learning system, for instance neural network, allowing modeling (65) of operation relative to the anatomy, such as anatomy based on medical imaging.

Abstract: For rotation compensation in a catheter, a rotation sensor senses rotation of the handle or catheter. Motors are controlled to change the bend in response to sensed rotation. As the tip rotates due to handle rotation, the motors change the bend to maintain the bend and tip position relative to the patient. This steering in the patient reference frame may be more intuitive, easier to learn, and allow rotation to change an imaging field of view without moving the bending planes.

Abstract: For active control of steering, one or more motors integrated into an intra-cardiac echocardiography catheter handle control the bending. Multiple sets of motors may be used to control steering wires anchored at different segments along the catheter, allowing steering with multiple bends in complex patterns controlled by a controller. The handle may be releasably separated into a reusable motor part and a disposable steering wire part so that the more complex and expensive motor part is not discarded and so that the number of motors may be matched to the number of steering wires.

Abstract: An autonomous catheterization assembly includes a catheter arrangement for insertion into the vascular system of a patient. In an embodiment, the catheter arrangement includes a sensor arrangement to sense a condition in the interior of a vessel of the vascular system, a shape adjustment device arranged in a distal portion of the catheter arrangement, and an actuator arrangement to control the shape adjustment device to adjust the shape and/or orientation of the distal portion of the catheter arrangement. The autonomous catheterization assembly further includes a propulsion assembly to propel elements of the catheter arrangement through the vascular system of the patient; a route computation module to compute a route through the vascular system to a target; and a control unit to actuate the propulsion assembly based upon the computed route and/or in response to a sensed condition in the interior of a vessel of the vascular system.

Abstract: A holder facility for holding a medical instrument includes a first receiving element, a second receiving element, and at least three diaphragm elements. The at least three diaphragm elements within a diaphragm layer are arranged between the first and second receiving elements about a common rotation axis. The first and second receiving elements each have an opening for receiving the medical instrument. The first and second receiving elements are movable around about the common rotation axis relative to one another. Each of the at least three diaphragm elements is forcibly moved by mechanical coupling. For a movement of the first receiving element relative to the second receiving element about the common rotation axis, there is a forcibly-guided movement of the at least three diaphragm elements such that the at least three diaphragm elements hold a medical instrument arranged in the opening of the first and second receiving elements.

Abstract: Systems and methods are provided for determining a set of imaging parameters for an imaging system. A selection of an image is received from a set of images. A modification of certain quality measures is received for the selected image. The modified selected image is mapped to a set of imaging parameters of an imaging system based on the certain quality measures using a trained Deep Reinforcement Learning (DRL) agent.

Abstract: For active control of steering, one or more motors integrated into an intra-cardiac echocardiography catheter handle control the bending. Multiple sets of motors may be used to control steering wires anchored at different segments along the catheter, allowing steering with multiple bends in complex patterns controlled by a controller. The handle may be releasably separated into a reusable motor part and a disposable steering wire part so that the more complex and expensive motor part is not discarded and so that the number of motors may be matched to the number of steering wires.

Abstract: For rotation compensation in a catheter, a rotation sensor senses rotation of the handle or catheter. Motors are controlled to change the bend in response to sensed rotation. As the tip rotates due to handle rotation, the motors change the bend to maintain the bend and tip position relative to the patient. This steering in the patient reference frame may be more intuitive, easier to learn, and allow rotation to change an imaging field of view without moving the bending planes.

Abstract: Systems and methods are provided for determining a set of imaging parameters for an imaging system. A selection of an image is received from a set of images. A modification of certain quality measures is received for the selected image. The modified selected image is mapped to a set of imaging parameters of an imaging system based on the certain quality measures using a trained Deep Reinforcement Learning (DRL) agent.

Abstract: An autonomous catheterization assembly includes a catheter arrangement for insertion into the vascular system of a patient. In an embodiment, the catheter arrangement includes a sensor arrangement to sense a condition in the interior of a vessel of the vascular system, a shape adjustment device arranged in a distal portion of the catheter arrangement, and an actuator arrangement to control the shape adjustment device to adjust the shape and/or orientation of the distal portion of the catheter arrangement. The autonomous catheterization assembly further includes a propulsion assembly to propel elements of the catheter arrangement through the vascular system of the patient; a route computation module to compute a route through the vascular system to a target; and a control unit to actuate the propulsion assembly based upon the computed route and/or in response to a sensed condition in the interior of a vessel of the vascular system.