Hitachi Medical Corporation

Hitachi, Ltd.

Tomohiro Nagao

Yoshihiro Goto

Hisako Nakamura

Michio Oikawa

Hanae Yoshida

Atsushi Inoue

Hiroki Taniguchi

Takashi Shirahata

Yingjie Han

Xingdong Sheng

Jiangtao Gao

Makie Saito

An image display method and an image display apparatus to solve the three-dimensional cueing confliction problem of the maximum intensity projection in the stereoscopic display method, while enabling users to select and render with emphasis the maximum intensity projection of the objects of interest, so that to realize the stereoscopic display. A three-dimensional surface which has equal distance to a sight-point is utilized as a reference surface, and the distances from all of the local maximum intensity points to this reference surface are calculated, then a weighting factor of each local maximum intensity point is calculated according to the distances and predetermined weighting function. After, the values of local maximum intensity points are adjusted according to the obtained weighting factors, and finally, the maximum intensity projection value is produced by synthesizing all of the adjusted values of the local maximum intensity points.

Image processing method and image processing apparatus

Provided is an image processing apparatus that automatically recognizes a plurality of organs to subsequently visualize the automatic recognition results in an easy-to-understand manner, and facilitate a modification of the displayed recognition results. The image processing apparatus () uses an image processing algorithm to perform an image processing of medical image volume data. The image processing apparatus () comprises an organ recognition algorithm executing unit () that applies an organ recognition algorithm to medical image volume data to generate and output, as an organ recognition result, structural information on the plurality of organs, and a recognition result displaying unit () that displays the organ recognition result. The image processing apparatus () comprises: a recognition result judging unit () that acquires, via an input device (), judgment information on whether or not the structural information is correct enough for each of the plurality of organs to be properly recognized; and an organ recognition algorithm revising unit that acquires the judgment information from the recognition result judging unit (), changes reference information on each organ according to the acquired judgment information and changes the organ recognition algorithm to recognize the plurality of organs using the changed reference information.

Image processing method, image processing apparatus and program

By a CPU () of a device () for processing medical image, a coronary artery region and a cardiac muscle region that are to be analyzed are extracted from angiographic images of the coronary artery obtained from X-ray CT images or the like. Next, degrees of isolation (blood vessel dependences), which indicate the effects of the coronary artery on the individual sites of the myocardium, are calculated. The calculated degrees of isolation are referred to as pixel values and displayed while superimposed on a bull's eye map of the cardiac muscle, a three-dimensional image of the heart or the like. As a result, the effect of infarction or constriction on the cardiac muscle region can be visually recognized merely by using the angiographic image data of the coronary artery without conducting a delay angiographic imaging examination or the like.

Coronary artery angiography image processing method to detect occlusion and degree effect of blood vessel occlusion to an organ

Provided is an image processing device capable of effectively displaying the details of a plurality of different branches included in a structure that is divided into a plurality of branches. An image processing devicereads the entire image of a coronary artery region, extracts a coronary artery region A from the read image data, displays the coronary artery region A, calculates cores, andof three coronary arteries A, A, and A, and calculates the lengths of blood vessels. In addition, when an operator uses a GUIthat is displayed in parallel to the entire image of the coronary artery region A to designate an arbitrary scale position on the GUI, a CPUcalculates positions on the blood vessels A, A, and Acorresponding to the designated scale position. The CPUdisplays vertical tomographic images, andat the calculated corresponding positions in a detailed image display region

Image processing device and image processing method

A medical image processing device etc. which supports work for precisely identifying the area of a diagnosis object from a medical image scanned by a medical imaging apparatus is provided. A CPU () of the medical image processing device () inputs image data and stores the same in a main memory () (S). Next, the CPU () subjects the inputted image data to threshold processing (S). Next, the CPU () stores, in the main memory (), data obtained by separating the area of the high signal values of the binarized image data into a bone region and an angiographically scanned region (S). Next, the CPU () identifies the contact area of the bone region and the angiographically scanned region from the data stored in the main memory () (S). Next, the CPU () emphasizes the contact area stored in the main memory () at the Sand displays the contact area on a display device () (S).

Medical image processing device, medical image processing method, and medical image processing program

A viewpoint is set on an intersection of two arbitrary multi-planer reconstruction (MPR) images, a line of sight is displayed on a plane including either one of the two MPR images, and the geometric positional relationship of the two MPR images, the intersection thereof, the viewpoint and the line of sight is designated with a position input device such as a mouse to thereby enable the geometric positional relationship to be rearranged.

Method and apparatus for determining visual point and direction of line of sight in three-dimensional image construction method

With respect to a stacked three-dimensional image, a point of view and a first projection plane are set, a central projection image is obtained according to a central projection method, and this image is shaded to obtain a first pseudo-three-dimensional image as if the image was observed under an endoscope. Then, a second projection plane is set with a positional relation so as to be perpendicular to the first projection plane and a second pseudo-three-dimensional image is obtained by projecting the same stacked three-dimensional image according to a parallel projection method and performing shading. An updated position of a new view point is obtained by using the second pseudo-three-dimensional image.

Method of constructing pseudo-three-dimensional image for obtaining

A three-dimensional image is displayed on a display in a central projection method based upon a viewpoint which is placed at the inside of an object and a line of sight. In this case, a plurality of tomographic images interposed between the viewpoint and a projection plane are sequentially arranged and displayed on a display screen. Polygon visual field frames are formed at points of intersection of projection lines forming a polygon pyramid and each tomographic image, and the visual field frames are displayed on the display screen. Thereby, the position of the viewpoint and the line of sight with respect to the currently-displayed three-dimensional image showing the inside of the object can be easily detected, and the part of the object which is being displayed can be easily recognized.

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Tokyo, Japan

Tomohiro Nagao