Abstract:
A method of imaging a breast compressed with a foam paddle includes emitting an x-ray energy from an x-ray source towards the breast and the foam paddle having a plurality of upper markers and a plurality of lower markers, wherein the plurality of lower markers are movable relative to the upper markers. The x-ray energy is detected at a detector disposed opposite the breast from the x-ray source. An image of the compressed breast is generated based on the detected x-ray energy. At least one of the plurality of upper markers and at least one of the plurality of lower markers is identified in the image. A thickness of the compressed breast at a plurality of thickness locations is determined, wherein each of the plurality of thickness locations corresponds to at least one of the plurality of lower markers.
Abstract:
Systems and methods for x-ray imaging a patient's breast in combinations of dual-energy, single-energy, mammography and tomosynthesis modes that facilitate screening for and diagnosis of breast abnormalities, particularly breast abnormalities characterized by abnormal vascularity.
Abstract:
An x-ray breast imaging system includes a breast support platform including an x-ray receptor, and an x-ray tube head. The x-ray tube head includes an x-ray source configured to emit an x-ray beam in a direction towards the x-ray receptor, and a collimator. A filter assembly including a plurality of filter slots selectively positionable adjacent to the collimator, and a specimen imaging filter disposed within a slot of the plurality of filter slots. The specimen imaging filter includes at least one aperture defined therein. The specimen imaging filter also blocks a portion of the emitted x-ray beam so that the at least one aperture defines a path of the emitted x-ray beam towards the x-ray receptor.
Abstract:
While performing a tomosynthesis procedure, the breast of a patient is compressed between two compression elements to create an imaging condition. Foam is secured to the rigid substrate of a one of the compression elements. The patient's chest wall is aligned with the leading edge surface of the foam. The inner side of the breast is disposed proximate the lateral edge surface of the foam and the outer side of the breast is disposed proximate the outer lateral edge surface of the foam. A mid-plane is disposed between the inner and outer lateral edge surfaces of the foam. An interface connects a leading edge surface of the foam and compressive surfaces. A portion of the leading edge surface which is aligned with the mid-plane is incompletely compressed.
Abstract:
A method and an apparatus for estimating a geometric thickness of a breast in mammography/tomosynthesis or in other x-ray procedures, by imaging markers that are in the path of x-rays passing through the imaged object. The markings can be selected to be visible or to be invisible when the composite markings/breast image is viewed in clinical settings. If desired, the contribution of the markers to the image can be removed through further processing. The resulting information can be used determining the geometric thickness of the body being x-rayed and thus setting imaging parameters that are thickness-related, and for other purposes. The method and apparatus also have application in other types of x-ray imaging.
Abstract:
Systems and methods for breast x-ray tomosynthesis that enhance spatial resolution in the direction in which the breast is flattened for examination. In addition to x-ray data acquisition of 2D projection tomosynthesis images ETp1 over a shorter source trajectory similar to known breast tomosynthesis, supplemental 2D images ETp2 are taken over a longer source trajectory and the two sets of projection images are processed into breast slice images ETr that exhibit enhanced spatial resolution, including in the thickness direction of the breast. Additional features include breast CT of an upright patient's flattened breast, multi-mode tomosynthesis, and shielding the patient from moving equipment.
Abstract:
An x-ray tube is described that includes components for increasing x-ray image clarity in the presence of a moving x-ray source by modifying focal spot characteristics, including focal spot size and focal spot position. In a first arrangement a static focal spot is moved in a direction contrary to the movement of the x-ray source so that an effective focal spot position is essentially fixed in space relative to one of the imaged object and/or detector during a tomosynthesis exposure. In a second arrangement, the size of the static focal spot is increased, and the resulting increase in tube current reduces the exposure time and concomitant blur effect. The methods may be used alone or in combination; for example an x-ray tube with a larger, moveable static focal spot will result in a system that fully utilizes the x-ray tube generator, provides a high quality image with reduced blur and, due to the decrease in exposure time, may scan the patient more quickly.
Abstract:
In a tomosynthesis system a static focal spot is moved in a direction opposite to and generally synchronized with the directional movement of an x-ray source and X-ray collimator blades are moved during each exposure in synchronization with the shifting of the static focal spot. The synchronized movement of the static focal spot, x-ray tube and collimator blades helps keep the effective focal spot fixed in space relative to the breast, detector or both during the entire duration of the exposure and keeps the x-ray field on the detector and breast static. The shifting collimator blades follow an oscillating pattern over the multiple x-ray exposures of a tomosynthesis scan.
Abstract:
A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and/or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.
Abstract:
While performing a tomosynthesis procedure, the breast of a patient is compressed between two compression elements to create an imaging condition. Foam is secured to the rigid substrate of a one of the compression elements. The patient's chest wall is aligned with the leading edge surface of the foam. The inner side of the breast is disposed proximate the lateral edge surface of the foam and the outer side of the breast is disposed proximate the outer lateral edge surface of the foam. A mid-plane is disposed between the inner and outer lateral edge surfaces of the foam. An interface connects a leading edge surface of the foam and compressive surfaces. A portion of the leading edge surface which is aligned with the mid-plane is incompletely compressed.