Abstract: A hydrogen fuel system including a fuel delivery assembly, a purge gas source, and a vent. The fuel delivery assembly is configured to receive hydrogen fuel from a hydrogen fuel source and to provide the hydrogen fuel from the hydrogen fuel source to a power generator. The purge gas source is fluidly coupled to the fuel delivery assembly and configured to provide a purge gas to the fuel delivery assembly. The vent is fluidly coupled to the fuel delivery assembly and configured to vent hydrogen fuel from the fuel delivery assembly when the purge gas is provided to the fuel delivery assembly.

Abstract: Provided are techniques for voice focus enabled by predetermined triggers. Voice recognition is used to identify one or more pre-determined triggers from a voice of a speaker. In response to identifying the one or more pre-determined triggers, a voice recognition template is dynamically created for the voice of the speaker, and the voice recognition template and voice isolation are used to focus on the voice from the speaker.

Abstract: Provided are techniques for voice focus enabled by predetermined triggers. Voice recognition is used to identify one or more pre-determined triggers from a voice of a speaker. In response to identifying the one or more pre-determined triggers, a voice recognition template is dynamically created for the voice of the speaker, and the voice recognition template and voice isolation are used to focus on the voice from the speaker.

Abstract: Provided are techniques for voice focus enabled by predetermined triggers. Voice recognition is used to identify one or more pre-determined triggers from a voice of a speaker. In response to identifying the one or more pre-determined triggers, a voice recognition template is dynamically created for the voice of the speaker, and the voice recognition template and voice isolation are used to focus on the voice from the speaker.

Abstract: Provided are techniques for voice focus enabled by predetermined triggers. Voice recognition is used to identify one or more pre-determined triggers from a voice of a speaker. In response to identifying the one or more pre-determined triggers, a voice recognition template is dynamically created for the voice of the speaker, and the voice recognition template and voice isolation are used to focus on the voice from the speaker.

Abstract: A technique flexibly applies pre-programmed rules that specify the manner in which medical image data is to be classified or otherwise processed. A rules-based system selects from the pre-programmed rules, with different rules being used based on different doctors' preferences, such as during contrast agent studies. The rules-based system is initially “taught” how to apply a doctor's rules via a sample data image set, and then automatically applies the same rules to that doctor's image data whenever that image data is subsequently provided, thereby avoiding the need for doctors to constantly reconfigure a system with their own rules repetitively for each and every image or to otherwise place the burden of processing on the doctor. The programmed rules can include rules from the available literature—the doctors or other users are free to select from these available rules, modify/customize them to generate new rules, or provide completely new rules.

Abstract: A technique flexibly applies pre-programmed rules that specify the manner in which medical image data is to be classified or otherwise processed. A rules-based system selects from the pre-programmed rules, with different rules being used based on different doctors' preferences, such as during contrast agent studies. The rules-based system is initially “taught” how to apply a doctor's rules via a sample data image set, and then automatically applies the same rules to that doctor's image data whenever that image data is subsequently provided, thereby avoiding the need for doctors to constantly reconfigure a system with their own rules repetitively for each and every image or to otherwise place the burden of processing on the doctor. The programmed rules can include rules from the available literature—the doctors or other users are free to select from these available rules, modify/customize them to generate new rules, or provide completely new rules.

Abstract: An apparatus distributes processed image data from a central location to remote terminals, for viewing by medical personnel for the purposes of diagnosis and determining a treatment regimen for a patient. The apparatus receives image data from imaging devices, and is programmed with rules or other parameters with respect to the manner in which that image data is to be processed and sorted. The apparatus applies the parameters to the appropriate received image data, and distributes the processed image data to one or more remotely coupled terminals. Because the image data is automatically pre-processed by the apparatus according to various parameters that are specific to certain medical personnel's preferences (or specific to other factors), the amount of repetitive user-required configuration and repetitive workstation processing is reduced—simple remote terminals with limited processing capability can receive highly customized image data.

Abstract: An MRI apparatus and method useful for both industrial applications and medical applications is provided. The apparatus and procedures are capable of estimating the value of a continuous property, such as concentration, viscosity or the like by interpolating or extrapolating from a model derived from training sets of data representing measurements of samples with known properties. A number of techniques are provided for objectifying the analysis. Cluster analysis techniques can be used to supplement, assist or replace subjective judgments by trained operators. Calculations or judgments regarding similarity can be made with respect to stored libraries of signatures, particularly where the library of stored signatures is obtained objectively, e.g., using cluster analysis, standardization and calibration. The signatures can be expanded signatures which include non-MR as well as MR data.

Abstract: An MRI apparatus and method useful for both industrial applications and medical applications is provided. The apparatus and procedures are capable of estimating the value of a continuous property, such as concentration, viscosity or the like by interpolating or extrapolating from a model derived from training sets of data representing measurements of samples with known properties. A number of techniques are provided for objectifying the analysis. Cluster analysis techniques can be used to supplement, assist or replace subjective judgments by trained operators. Calculations or judgments regarding similarity can be made with respect to stored libraries of signatures, particularly where the library of stored signatures is obtained objectively, e.g., using cluster analysis, standardization and calibration. The signatures can be expanded signatures which include non-MR as well as MR data.

Abstract: An MRI apparatus and method useful for both industrial applications and medical applications is provided. The apparatus and procedures are capable of estimating the value of a continuous property, such as concentration, viscosity or the like by interpolating or extrapolating from a model derived from training sets of data representing measurements of samples with known properties. A number of techniques are provided for objectifying the analysis. Cluster analysis techniques can be used to supplement, assist or replace subjective judgments by trained operators. Calculations or judgments regarding similarity can be made with respect to stored libraries of signatures, particularly where the library of stored signatures is obtained objectively, e.g., using cluster analysis, standardization and calibration. The signatures can be expanded signatures which include non-MR as well as MR data.

Abstract: An MRI apparatus and method useful for both industrial applications and medical applications is provided. The apparatus and procedures are capable of estimating the value of a continuous property, such as concentration, viscosity or the like by interpolating or extrapolating from a model derived from training sets of data representing measurements of samples with known properties. A number of techniques are provided for objectifying the analysis. Cluster analysis techniques can be used to supplement, assist or replace subjective judgments by trained operators. Calculations or judgments regarding similarity can be made with respect to stored libraries of signatures, particularly where the library of stored signatures is obtained objectively, e.g., using cluster analysis, standardization and calibration. The signatures can be expanded signatures which include non-MR as well as MR data.

Abstract: An MRI technique in which the similarity of samples from different portions of a body is determined and displayed. In one embodiment, the method can be used to track the spread of a known primary tumor to other portions of a patient's body. The MRI apparatus is used to produce a training set comprising one or more training samples. The training set is formed from a plurality of congruent first images of a training region of the body. Each first image is produced using an MRI pulse sequence different from the pulse sequences used to produce the other first images. Each first image comprise an array of pixels, and each training sample comprises a spatially aligned set of pixels from each first image. The same technique is used to produce a plurality of test samples corresponding to a test region of the same body. The test samples are produced using the same pulse sequences as the training samples.