Hitachi Medical Corporation

Hitachi, Ltd.

Shino Tanaka

Takashi Shirahata

Takayuki Kadomura

Hiroki Taniguchi

Tetsuo Nakazawa

Hiroto Kokubun

There is provided an image processing device capable of generating a more accurate analysis image by extracting a region, which exists at a boundary between different substances and has a pixel value that is non-uniform and continuously changes, from volume data. The image processing device acquires the volume data of a region which includes a large intestine, sets a plurality of starting points of region expansion in a boundary region between air and a residue in the large intestine, sets a condition of an expandable range of a width according to a gradient of a pixel value of each of the starting points, performs a region expansion process from each of the starting points according to the set condition, and generates the analysis image based on the result of the region expansion process.

Image processing device and image processing method

There is provided a medical image processing device and a medical image processing method that can extract and display lesion candidate regions having different sizes and similarity forms at a time through a series of processing. Therefore, with respect to a first medical image, a first evaluation for the curved surface form of the first medical image is made to extract first lesion candidate regions. With respect to each of the first lesion candidate regions extracted by a first extracting unit, a second evaluation for the curved surface form thereof is made to extract a second lesion candidate region. The second lesion candidate region extracted by a second extracting unit is superimposed and displayed on a second medical image.

Medical image processing device and medical image processing method

A medical image processing device is configured to set a parameter to be used for detecting a lesion candidate region. For example, the medical image processing device is configured to input a first parameter Pestimating a dimension of the lesion, calculate a second parameter Pbased on the first parameter Pcalculate a feature amount indicating a shape of an organ surface by using the second parameter in the medical image, and extract the lesion candidate region based on the calculated feature amount.

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Tokyo, Japan

Shino Tanaka