Abstract: Structured noise from various aggressors can be suppressed to improve touch performance. A respective noise characteristic can be determined for each respective group of touch nodes (e.g., row, column) among multiple groups of touch nodes in a masked touch image. The respective noise characteristic can be removed from the corresponding respective group of touch nodes in the touch image. For example, a respective noise characteristic can be determined for each respective row and/or for each respective column in the masked touch image. The respective noise characteristic can be removed from the respective row and/or column in the unmasked touch image. In some examples, the determining and subtracting of the noise characteristic can be repeated iteratively within a window of time and/or until one or more noise criteria are met.

Abstract: Structured noise from various aggressors can be suppressed to improve touch performance. A respective noise characteristic can be determined for each respective group of touch nodes (e.g., row, column) among multiple groups of touch nodes in a masked touch image. The respective noise characteristic can be removed from the corresponding respective group of touch nodes in the touch image. For example, a respective noise characteristic can be determined for each respective row and/or for each respective column in the masked touch image. The respective noise characteristic can be removed from the respective row and/or column in the unmasked touch image. In some examples, the determining and subtracting of the noise characteristic can be repeated iteratively within a window of time and/or until one or more noise criteria are met.

Abstract: Structured noise from various aggressors can be suppressed to improve touch performance. A respective noise characteristic can be determined for each respective group of touch nodes (e.g., row, column) among multiple groups of touch nodes in a masked touch image. The respective noise characteristic can be removed from the corresponding respective group of touch nodes in the touch image. For example, a respective noise characteristic can be determined for each respective row and/or for each respective column in the masked touch image. The respective noise characteristic can be removed from the respective row and/or column in the unmasked touch image. In some examples, the determining and subtracting of the noise characteristic can be repeated iteratively within a window of time and/or until one or more noise criteria are met.

Abstract: A method automatically scores calcium in the aorta and other arteries of the body using calcium plaque definitions that include subject specific in vivo blood/muscle density measurements, subject specific voxel statistical parameters and 2D and 3D voxel connectivity criteria to automatically identify the plaques. The images are optionally calibrated with external phantoms or internal reference tissue. Aortic calcium is identified automatically without manual marking. Potential false plaques from bone are automatically excluded. A 3D coordinate system provides the specific coordinates of the detected plaques, which are displayed in a plaque map for follow-up exams or ease in plaque review.

Abstract: A method automatically detects and quantifies arterial plaque (hard plaque, soft plaque or both) in the coronary arteries of the heart from CT images. The method uses plaque definitions based on subject specific in vivo blood/muscle and fat density measurements, subject specific voxel statistical parameters and 2-D and 3-D voxel connectivity criteria to automatically identify the plaques. The locations of the major arteries are determined in a 3-D coordinate system; and the specific coordinates of the detected plaques are displayed in a plaque map for follow-up exams or ease in plaque review, editing and reporting the results.

Abstract: A method automatically segments the heart and abdominal aorta from volumetric images without the need to inject iodine contrast media into the subject. The method automatically quantifies arterial plaque (hard plaque, soft plaque or both) in the cardiovascular system. Plaque definitions include subject specific in vivo blood/muscle density measurements, subject specific voxel statistical parameters and 2-D and 3-D voxel connectivity criteria, which are used to automatically identify the plaques. The locations and outlines of the major arteries are determined in a 3-D coordinate system and the specific coordinates of the detected plaques are displayed in a plaque map for follow-up exams or ease in plaque review and reporting the results.

Abstract: A method automatically detects and quantifies arterial plaque (hard plaque, soft plaque or both) in the coronary arteries of the heart from CT images. The method uses plaque definitions based on subject specific in vivo blood/muscle and fat density measurements, subject specific voxel statistical parameters and 2-D and 3-D voxel connectivity criteria to automatically identify the plaques. The locations of the major arteries are determined in a 3-D coordinate system; and the specific coordinates of the detected plaques are displayed in a plaque map for follow-up exams or ease in plaque review, editing and reporting the results.

Abstract: A method automatically detects and quantifies arterial plaque (hard plaque, soft plaque or both) in the coronary arteries of the heart from CT images. The method uses plaque definitions based on subject specific in vivo blood/muscle and fat density measurements, subject specific voxel statistical parameters and 2-D and 3-D voxel connectivity criteria to automatically identify the plaques. The locations of the major arteries are determined in a 3-D coordinate system; and the specific coordinates of the detected plaques are displayed in a plaque map for follow-up exams or ease in plaque review, editing and reporting the results.

Abstract: An automated method measures coronary calcium in a living subject using x-ray computed tomography (CT). The method acquires at least one CT image containing voxels representing x-ray attenuation of the subject which may or may not be calibrated. The method of analysis may or may not require operator interactions and includes analyzing the images in a computer to identify the boundaries of the heart. The method further includes identifying the approximate location of at least one coronary artery without operator interaction. The method further includes placing a region-of-interest (ROI) surrounding the artery location automatically. The method further includes analyzing the ROI to identify voxels above a threshold value. The method further includes determining the calcium content in mass units.

Abstract: A method automatically segments the heart and abdominal aorta from volumetric images without the need to inject iodine contrast media into the subject. The method automatically quantifies arterial plaque (hard plaque, soft plaque or both) in the cardiovascular system. Plaque definitions include subject specific in vivo blood/muscle density measurements, subject specific voxel statistical parameters and 2-D and 3-D voxel connectivity criteria, which are used to automatically identify the plaques. The locations and outlines of the major arteries are determined in a 3-D coordinate system and the specific coordinates of the detected plaques are displayed in a plaque map for follow-up exams or ease in plaque review and reporting the results.

Abstract: A method automatically scores calcium in the aorta and other arteries of the body using calcium plaque definitions that include subject specific in vivo blood/muscle density measurements, subject specific voxel statistical parameters and 2D and 3D voxel connectivity criteria to automatically identify the plaques. The images are optionally calibrated with external phantoms or internal reference tissue. Aortic calcium is identified automatically without manual marking. Potential false plaques from bone are automatically excluded. A 3D coordinate system provides the specific coordinates of the detected plaques, which are displayed in a plaque map for follow-up exams or ease in plaque review.

Abstract: A method automatically detects and quantifies arterial plaque (hard plaque, soft plaque or both) in the coronary arteries of the heart from CT images. The method uses plaque definitions based on subject specific in vivo blood/muscle and fat density measurements, subject specific voxel statistical parameters and 2-D and 3-D voxel connectivity criteria to automatically identify the plaques. The locations of the major arteries are determined in a 3-D coordinate system; and the specific coordinates of the detected plaques are displayed in a plaque map for follow-up exams or ease in plaque review, editing and reporting the results.

Abstract: This invention is a system, method, and article of manufacture for imaging tubular structures of the human body, such as the digestive tract of a living person, with a medical imaging device such as a computed tomography (CT) scanner and a computer work station. The system comprises receiving a first image data set representative of a portion of the colon in a prone position and a second image data set representative of a portion of the colon in a supine position, at a series of viewpoints. At each of the viewpoints, an image is generated of the colon in the prone and supine positions. The prone and supine images of the colon are simultaneously displayed on a screen display in a dual view mode.

Abstract: An automated method measures coronary calcium in a living subject using x-ray computed tomography (CT). The method acquires at least one CT image containing voxels representing x-ray attenuation of the subject which may or may not be calibrated. The method of analysis may or may not require operator interactions and includes analyzing the images in a computer to identify the boundaries of the heart. The method further includes identifying the approximate location of at least one coronary artery without operator interaction. The method further includes placing a region-of-interest (ROI) surrounding the artery location automatically. The method further includes analyzing the ROI to identify voxels above a threshold value. The method further includes determining the calcium content in mass units.

Abstract: A method for generating colonography images for colorectal screening of a patient. The patient is administered an amount of radiopaque stool marker which will enable stool present in the patient's colon to be distinguished from soft tissue. The patient's colon is imaged after the stool marker has been administered to generate colonography images. Preparation of the colon is simulated by processing the colonography images to remove marked stool before the images are observed during a diagnosis session.