G06T7/149

Ultrasonic diagnosis of cardiac performance using heart model chamber segmentation with user control

An ultrasonic diagnostic imaging system has a user control by which a user positions the user's selection of a heart chamber border in relation to two myocardial boundaries identified by a deformable heart model. The user's border is positioned by a single degree of freedom control which positions the border as a function of a single user-determined value. This overcomes the vagaries of machine-drawn borders and their mixed acceptance by clinicians, who can now create repeatably-drawn borders and exchange the control value for use by others to obtain the same results.

Ultrasonic diagnosis of cardiac performance using heart model chamber segmentation with user control

An ultrasonic diagnostic imaging system has a user control by which a user positions the user's selection of a heart chamber border in relation to two myocardial boundaries identified by a deformable heart model. The user's border is positioned by a single degree of freedom control which positions the border as a function of a single user-determined value. This overcomes the vagaries of machine-drawn borders and their mixed acceptance by clinicians, who can now create repeatably-drawn borders and exchange the control value for use by others to obtain the same results.

Left ventricle segmentation in contrast-enhanced cine MRI datasets

A method for delineating a ventricle from MRI data relating to the heart of a patient, the method comprising: a) providing a contrast-enhanced cine MRI dataset; b) providing one or more additional MRI datasets; c) segmenting one or more features on the additional MRI dataset or datasets; d) mapping the segmented features to the contrast-enhanced cine MRI dataset; and e) using the segmented features as mapped in step d) to assist segmentation of the ventricle on the contrast-enhanced cine MRI dataset.
A corresponding device and computer program are also disclosed.

Ultrasound imaging method and ultrasound imaging system therefor

An ultrasound imaging method includes providing a digital representation of the shape of a surface or boundary of an anatomic region or organ; acquiring an ultrasound image by ultrasound scanning the anatomic region or organ; and combining the digital representation of the shape of the surface or boundary of the anatomic region or organ by registering the digital representation of the shape of the surface or boundary and the ultrasound image as a function of the difference in position of selected reference points on the digital representation of the surface or boundary and on the ultrasound image, the position of the reference points on the ultrasound image being determined by tracking the probe position at the reference points at the anatomic region or organ of a real body and in a spatial reference system, in which the anatomic region or the organ of the real body is placed.

SEGMENTATING A MEDICAL IMAGE

In a method of segmenting a medical image, a segmentation of the medical image is displayed (102) to a user, the segmentation comprising a contour representing a feature in the medical image. A user input is then received (104), the user input indicting a correction to the contour in the segmentation of the medical image. A shape constraint is determined (106) from the contour and the indicated correction to the contour and the shape constraint is provided (108) as an input parameter to a segmentation model to perform a new segmentation of the medical image.

SEGMENTATING A MEDICAL IMAGE

In a method of segmenting a medical image, a segmentation of the medical image is displayed (102) to a user, the segmentation comprising a contour representing a feature in the medical image. A user input is then received (104), the user input indicting a correction to the contour in the segmentation of the medical image. A shape constraint is determined (106) from the contour and the indicated correction to the contour and the shape constraint is provided (108) as an input parameter to a segmentation model to perform a new segmentation of the medical image.

AUTOMATICALLY SEGMENTING VERTEBRAL BONES IN 3D MEDICAL IMAGES
20220375079 · 2022-11-24 ·

Disclosed herein are systems and methods for vertebral bone segmentation and vertebral bone enhancement in medical images.

AUTOMATICALLY SEGMENTING VERTEBRAL BONES IN 3D MEDICAL IMAGES
20220375079 · 2022-11-24 ·

Disclosed herein are systems and methods for vertebral bone segmentation and vertebral bone enhancement in medical images.

METHODS AND APPARATUS TO IDENTIFY HEADLANDS
20220375060 · 2022-11-24 ·

Methods and apparatus to identify headlands are disclosed. A disclosed example apparatus to identify a headland of a field includes an image analyzer to generate an image from data corresponding to path information of at least one field operation performed on the field, a mask generator to generate a mask of the image based on the image, and a headland identifier to identify the headland in the field based on the mask.

METHODS AND APPARATUS TO IDENTIFY HEADLANDS
20220375060 · 2022-11-24 ·

Methods and apparatus to identify headlands are disclosed. A disclosed example apparatus to identify a headland of a field includes an image analyzer to generate an image from data corresponding to path information of at least one field operation performed on the field, a mask generator to generate a mask of the image based on the image, and a headland identifier to identify the headland in the field based on the mask.