The present disclosure is related to imaging systems and methods. The method includes obtaining optical image data of a subject to be scanned by a medical device. The method includes determining a scan range of the subject based on the optical image data. The scan range includes at least one scan area of the subject. The method includes determining at least one parameter value of at least one scan parameter based on the at least one scan area of the subject. The method further includes causing the medical device to scan the subject based on the scan range and the at least one parameter value of the at least one scan parameter

The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

The pose and shape of a human body may be recovered based on joint location information associated with the human body. The joint location information may be derived based on an image of the human body or from an output of a human motion capture system. The recovery of the pose and shape of the human body may be performed by a computer-implemented artificial neural network (ANN) trained to perform the recovery task using training datasets that include paired joint location information and human model parameters. The training of the ANN may be conducted in accordance with multiple constraints designed to improve the accuracy of the recovery and by artificially manipulating the training data so that the ANN can learn to recover the pose and shape of the human body even with partially observed joint locations.

A position adjustment apparatus for adjusting a position of a detection device, and a magnetocardiography instrument are provided. The position adjustment apparatus includes: two support assemblies, a lifting frame, and at least one height adjustment assembly. The position adjustment apparatus of the present disclosure enables free control over the height of the lifting frame by providing support rods and the height adjustment assembly comprising a pulley block.

The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

Described herein is a method to measure the position of the PET System using the MRI, through the use of MRI coils and fiducials. This approach offers a route to automated calibration which is more flexible than other approaches. This method of position measurement is useful for example in systems which have moving or removeable PET readout board systems or moving or removeable PET scintillator blocks.

The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

An inflatable patient support includes a top panel defining a first perimeter and a bottom panel defining a second perimeter. The second perimeter of the bottom panel is coupled to the first perimeter of the top panel. An internal wall is coupled between the top panel and the bottom panel to define a first chamber and a second chamber. The internal wall defines at least one passage therethrough that allows fluid communication between the first chamber and the second chamber. The first chamber and the second chamber are inflatable.

A measuring instrument attachment assist device which includes: a coordinate detector which detects coordinates of predetermined feature points from an image obtained by capturing an image of a subject; a conversion parameter calculator which calculates a projection conversion parameter for converting the coordinates of the feature points in a model image into the coordinates obtained by the detection; a designating unit which designates a position of a measuring instrument attached to the subject in the model image; a coordinate converter which converts a coordinate of the position designated by using the designating unit, by using the projection conversion parameter; and a display which displays the coordinate obtained by the conversion by the coordinate converter, on the image obtained by the capturing.