Abstract: A detection and alarm circuit includes a transformer, a rectifier, and an alarm. A first input terminal of the transformer is connected to a ground terminal of an electronic device, and a second terminal of the transformer is grounded. A first output terminal of the transformer is connected to a first input terminal of the rectifier, and a second output terminal of the transformer is connected to a second input terminal of the rectifier. A first output terminal of the rectifier is connected to a first terminal of the alarm. A second output terminal of the rectifier is connected to a second terminal of the alarm.

Abstract: A memory detecting circuit includes five switch elements and two indication devices. A first switch element is connected to a standby power, and also connected to memory sockets of a first channel to receive a first memory detecting signal. A second switch element is connected to the first switch element and the standby power. A third switch element is connected to the second switch element and the standby power, and also connected to memory sockets of a second channel to receive a second memory detecting signal. A fourth switch element is connected to the third switch element and the standby power. A fifth switch element is connected to the fourth switch element and the standby power. When there are memories installed into the memory sockets of the first channel and the second channel, the second indication device indicates that the memories run in a dual channel mode.

Abstract: Described herein is a method and system for facilitating automatic classification of regions-of-interest (ROIs). Contrast enhanced image data may be received (202) and processed to generate at least one texture value of at least one ROI in the image data (204). The ROI may be automatically classified as either a mass or a non-mass like enhancement (NMLE) based on the texture value (e.g., bumpiness) (208).

Abstract: Described herein is a technology for facilitating coordinated description in image analysis. In one implementation, the technology includes receiving image data including at least first and second descriptors (204) describing portions of the image data. The first and second descriptors are coordinated by determining at least one conditional probability of observing the first descriptor in the image data given an occurrence of the second descriptor (206). A classifier may then be trained based on the conditional probability (208).

Abstract: A detection and alarm circuit includes a transformer, a rectifier, and an alarm. A first input terminal of the transformer is connected to a ground terminal of an electronic device, and a second terminal of the transformer is grounded. A first output terminal of the transformer is connected to a first input terminal of the rectifier, and a second output terminal of the transformer is connected to a second input terminal of the rectifier. A first output terminal of the rectifier is connected to a first terminal of the alarm. A second output terminal of the rectifier is connected to a second terminal of the alarm.

Abstract: Described herein is a technology for facilitating classification of an object. In one implementation, at least one quotient appearance manifold mapping is constructed from a sample image to untangle appearance fiber bundles. A feature characteristic of the sample image may then be extracted based on the quotient appearance manifold mapping. A classifier may further be trained based on the extracted feature, and adapted for associating the object with an object class.

Abstract: A memory detecting circuit includes five switch elements and two indication devices. A first switch element is connected to a standby power, and also connected to memory sockets of a first channel to receive a first memory detecting signal. A second switch element is connected to the first switch element and the standby power. A third switch element is connected to the second switch element and the standby power, and also connected to memory sockets of a second channel to receive a second memory detecting signal. A fourth switch element is connected to the third switch element and the standby power. A fifth switch element is connected to the fourth switch element and the standby power. When there are memories installed into the memory sockets of the first channel and the second channel, the second indication device indicates that the memories run in a dual channel mode.

Abstract: Described herein is a method and system for facilitating computer-aided detection (CAD). In one implementation, image data is received (302) and iterations of an iterative segmentation process is performed on the image data. Each iterative segmentation process may include ascertaining whether a segment is normal (304), removing the segment from the image if ascertained to be normal (308) and transforming the shape of the segment (310). The iterative segmentation process may be stopped if a stop condition is met (312).

Abstract: Described herein is a technology for facilitating computer-aided detection (CAD). In one implementation, the CAD technology includes receiving an enhancement pattern (602) generated from image data. The enhancement pattern is pre-processed to produce an alert level (604, 606, 608). Computationally-intensive analysis may be performed on a region of interest if it corresponds to an enhancement pattern with a high alert level.

Abstract: A method for performing pharmacokinetic analysis in magnetic resonance (MR) images includes administering a dose of contrast agent (CA) into a subject. A sequence of medical images is acquired of the subject at set temporal intervals. The time-based behavior of concentrations of CA is described within the subject for each voxel of each medical image of the sequence of medical images based on a reference voxel using a compartmental model for pharmacokinetic analysis that is based on a set of compartmental model parameters. The compartmental model is solved for each of the compartmental model parameters. The solution for the compartmental model parameters is used to estimate one or more parameters of physiological significance.