Fujifilm Healthcare Corporation

Kuniaki Harada

Suguru Yokosawa

Hisako Nagao

Yasuo Kawata

Hisaaki Ochi

Toru Shirai

Yoshimi Noguchi

Kenta Sakuragi

Yasuhide Yoshida

A volume rendering image is obtained based on a 3D MRI image by automatically performing appropriate opacity setting. A three-dimensional image of a subject is received, a distribution of pixel values of the three-dimensional image is calculated, a pixel value of a predetermined feature amount is calculated based on the distribution of the pixel values, and opacity is set for each of the pixel value included in the three-dimensional image based on the pixel value of the feature amount. Accordingly, the opacity can be set automatically. The volume rendering image of the three-dimensional image is generated using the opacity.

Magnetic resonance imaging apparatus, image processing apparatus, and image processing method

An imaging unit of an MRI apparatus performs imaging of a positioning image of a subject including a spine; a first imaging that images a cross section including the spine and extending along a longitudinal direction of the spine; and a second imaging that images a cross section in a direction of traversing the spine. An automatic cross-section position setting unit detects a specific tissue of the spine using a scout image or an image including the spine acquired in the first imaging step, performs a matching process between the detected specific tissue of the spine and a spine model, and calculates an imaging cross-section position of the second imaging based upon a specific tissue position of the spine specified by matching, thereby performing automatic setting.

Magnetic resonance imaging apparatus with auto-positioning function, method for controlling magnetic resonance imaging apparatus, and program for auto-setting of imaging plane

An automatic clipping technique capable of satisfactorily extracting blood vessels to be extracted is provided. A specific tissue extraction mask image which is created by extracting a specific tissue (for example, a brain) from a three-dimensional image acquired by magnetic resonance angiography and a blood vessel extraction mask image which is created by extracting a blood vessel from an area (a blood vessel search area) which is determined using a preset landmark position and the specific tissue extraction mask image are integrated to create an integrated mask. By applying the integrated mask to the three-dimensional image, a blood vessel is clipped from the three-dimensional image.

Magnetic resonance imaging apparatus, image processor, and image processing method

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Tokyo, Japan

Kuniaki Harada