A medical image processing device of an embodiment has processing circuitry. The processing circuitry performs position transformation to represent a position in a region of interest set in a captured mammography image of a breast of a subject and an examination position on a body of the subject in an ultrasound examination in a plane of the same scale, determines whether or not the position in the region of interest and the examination position match in the plane, and saves or outputs an ultrasonic image corresponding to the examination position upon determining that the position in the region of interest matches the examination position.

A control device of a mammography apparatus includes an acquisition unit that acquires a radiographic image as radiography information in a case in which the radiographic image of the breast is captured and a generation condition setting unit that sets generation conditions in a case in which an ultrasound image of the breast is generated, on the basis of the radiographic image acquired by the acquisition unit. The generation condition setting unit analyzes the radiographic image to detect the amount of mammary glands in the breast and sets, as the generation conditions, an amplification factor of an ultrasound image signal and a dynamic range which is a width of a grayscale value of the ultrasound image assigned to a value of the ultrasound image signal, according to the detected amount of mammary glands.

This invention provides a system and method for assessing risk of a breast cancer diagnosis based upon imagery of tissue and (optionally) other patient-related factors. A CAD (or similar) system analyzes the imagery and generates a plurality of numerical feature values. An assessment module receives inputs from patient factors and history and computes the risk based upon the feature values and the patient factors and history. A masking module receives inputs from the patient factors and history, and computes the risk of having a cancer, which cancer is otherwise characterized by a low probability of detection, based upon the feature values and the patient factors and history. A recall module receives inputs from the assessment module and the masking assessment module, and generates a computer-aided indication of a clinical follow-up by the patient. Results of assessment(s) can be displayed to the clinician and/or patient using a graphical interface display.

The present disclosure relates to a method for modeling a personalized breast implant including the operations of: obtaining medical image data and body scan data; obtaining first image data by 3D modeling the medical image data; obtaining second image data by 3D modeling the body scan data; creating third image data by merging the first image data and the second image data; and creating breast implant appearance information on the basis of the third image data.

There is provided a computer implemented method for detection of likelihood of malignancy in an anatomical image of a patient for planning treatment thereof, comprising: receiving a pair of images that are either of a same patient or from two different patients, wherein the pair of images comprises anatomically corresponding anatomical images each depicting internal anatomical structures of the patient, feeding the pair of images into a model, outputting by the model, an indication of whether the pair of images are of a same patient or not, and generating an indication of likelihood of malignancy when the model wrongly outputs that the pair of images are not of the same patient, when in fact the pair of images are of the same patient, wherein treatment of the patient is planned according to the indication of likelihood of malignancy.

In medical examination of breast cancer, a lesion computer-aided detection is performed in real time and with high accuracy, and a burden on a medical worker is reduced. A medical image processing apparatus that processes a medical image includes: a detection unit configured to detect a lesion candidate region; a validity evaluation unit configured to evaluate validity of the lesion candidate region by using a normal tissue region corresponding to the detected lesion candidate region; and a display unit configured to determine display content to a user by using an evaluation result.

An apparatus and method for reducing the blurriness of tomographic (3D) images constructed from a gamma camera system with one or more VASH (variable-angle slant-hole) collimators. A conventional gamma camera with a VASH collimator exhibits a loss of spatial resolution from the fact that the gamma-ray is entering the detector element at an angle other than normal to the surface. This depth dependence of the spatial localization causes a blurring of the spatial resolution, which is dependent on the incident angle relative to the normal, on the thickness of the detector element and on the stopping length of the gamma-ray in the detector element material. The invention provides an apparatus and method for correcting the spatial location where the gamma ray is recorded to improve the spatial resolution of the system.

A reconstruction unit generates a plurality of tomographic images representing a plurality of tomographic planes of a subject by reconstructing a plurality of projection images acquired by performing tomosynthesis imaging. A synthesis unit synthesizes the plurality of tomographic images to generate a composite two-dimensional image. A display control unit displays the composite two-dimensional image on a display, and in a case where one tissue of a first tissue and a second tissue that are present in the subject in association with each other is selected in the displayed composite two-dimensional image, emphasizes and displays the selected one tissue and the other tissue associated with the selected one tissue.

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.

Methods and systems are provided for reconstruction error assessment for an interventional tool utilized in an image guided interventional procedure. In one example, an error model based on a target lesion position within a tissue, one or more interventional tool parameters, and imaging system parameters may be utilized to estimate an expected reconstruction error for the interventional tool. In another example, when the interventional tool is within the tissue, the expected reconstruction error may be utilized along with observed tool shape and size to infer an actual tool position and shape within the tissue.