Abstract: A data store volume (DSVOL) for a snapshot group which is a group of the PVOL and one or more SVOLs for the PVOL is a data storage region where data of which a storage destination is one volume (VOL) of the snapshot group and meta-information of the data are stored, and the meta-information is information including address mapping between a reference source address which is an address of a position of the data in the snapshot group and a reference destination address which is an address of a position of the data in the DSVOL. A process of a storage system increases the number of DSVOLs in the snapshot group when an input/output (I/O) load on the snapshot group exceeds a threshold.

Abstract: In a block (10) for a cable of the present disclosure, the block has a shape of a rectangular cuboid in which an upper surface (11) and a bottom surface have square shapes, the block has plural bending through holes (21) between one side surface of the rectangular cuboid and a side surface (12) neighboring the one side surface, arrangement of open ends (22) of the plural through holes in the one side surface of the rectangular cuboid is in a lattice manner, the arrangement of the open ends is in line symmetry with respect to a middle line (31) between an upper side and a bottom side of the one side surface and with respect to a middle line (32) between a lateral side and a lateral side of the one side surface, and arrangement of open ends (22) of the plural through holes in the side surface neighboring the one side surface of the rectangular cuboid is the same as the arrangement of the open ends (22) of the plural through holes in the one side surface of the rectangular cuboid.

Abstract: A compound is represented by a formula (1) below. In the formula (1), n is 1 or 2. Ar1 is represented by a formula (2) below. Ar2 represents a substituted or unsubstituted aromatic hydrocarbon group having 6 to 30 carbon atoms, or a substituted or unsubstituted heterocyclic group having 1 to 20 ring atoms. Ar3 is represented by a formula (3) below.

Abstract: A compound is represented by a formula (1) below. In the formula (1), n is 1 or 2. Ar1 is represented by a formula (2) below. Ar2 represents a substituted or unsubstituted aromatic hydrocarbon group having 6 to 30 carbon atoms, or a substituted or unsubstituted heterocyclic group having 1 to 20 ring atoms. Ar3 is represented by a formula (3) below.

Abstract: A compound is represented by a formula (1) below. In the formula (1), n is 1 or 2. Ar1 is represented by a formula (2) below. Ar2 represents a substituted or unsubstituted aromatic hydrocarbon group having 6 to 30 carbon atoms, or a substituted or unsubstituted heterocyclic group having 1 to 20 ring atoms. Ar3 is represented by a formula (3) below.

Abstract: A compound is represented by a formula (1) below. In the formula (1), n is 1 or 2. Ar1 is represented by a formula (2) below. Ar2 represents a substituted or unsubstituted aromatic hydrocarbon group having 6 to 30 carbon atoms, or a substituted or unsubstituted heterocyclic group having 1 to 20 ring atoms. Ara is represented by a formula (3) below.

Abstract: 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.

Abstract: 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 (23) uses an image processing algorithm to perform an image processing of medical image volume data. The image processing apparatus (23) comprises an organ recognition algorithm executing unit (11) 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 (32) that displays the organ recognition result.

Abstract: By a CPU (101) of a device (100) 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.

Abstract: The present invention provides an image display method and an image display apparatus, which 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.

Abstract: 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 device 100 reads 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 41, 42, and 43 of three coronary arteries A1, A2, and A3, and calculates the lengths of blood vessels. In addition, when an operator uses a GUI 33 that is displayed in parallel to the entire image of the coronary artery region A to designate an arbitrary scale position on the GUI 33, a CPU 101 calculates positions on the blood vessels A1, A2, and A3 corresponding to the designated scale position. The CPU 101 displays vertical tomographic images 321, 322, and 323 at the calculated corresponding positions in a detailed image display region 32.

Abstract: 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 (11) of the medical image processing device (1) inputs image data and stores the same in a main memory (12) (S101). Next, the CPU (11) subjects the inputted image data to threshold processing (S102). Next, the CPU (11) stores, in the main memory (12), 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 (S103). Next, the CPU (11) identifies the contact area of the bone region and the angiographically scanned region from the data stored in the main memory (12) (S104). Next, the CPU (11) emphasizes the contact area stored in the main memory (12) at the S104 and displays the contact area on a display device (15) (S105).

Abstract: 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 (23) uses an image processing algorithm to perform an image processing of medical image volume data. The image processing apparatus (23) comprises an organ recognition algorithm executing unit (11) 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 (32) that displays the organ recognition result.

Abstract: By a CPU (101) of a device (100) 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 thus 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.

Abstract: The present invention proposes an image processing method and an image processing apparatus, in which an object of interest is selected in a three-dimensional scene by using information on a section parallel to a sight line, and a surface is generated to divide the line of sight passing through the object into two parts, so as to display the user-interested object through an opaque area by establishing different rendering parameters for the two parts of the sight line.

Abstract: 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 device 100 reads 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 41, 42, and 43 of three coronary arteries A1, A2, and A3, and calculates the lengths of blood vessels. In addition, when an operator uses a GUI 33 that is displayed in parallel to the entire image of the coronary artery region A to designate an arbitrary scale position on the GUI 33, a CPU 101 calculates positions on the blood vessels A1, A2, and A3 corresponding to the designated scale position. The CPU 101 displays vertical tomographic images 321, 322, and 323 at the calculated corresponding positions in a detailed image display region 32.

Abstract: A vehicular upholstery fabric is made from a raw tricot fabric which is knitted by using a PPT-multifilament yarn whose single fiber fineness is about 0.5˜6.0 dtex and whose total fineness is about 30˜180 dtex for the ground yarn and the pile yarn. The raw tricot fabric has been transformed into a napped tricot pile fabric by raising the sinker loop of the pile yarn of the raw tricot fabric to form fluffs which are then sheared to form cut piles. A PPT-bulky multifilament yarn is used for the ground yarn. A PPT-non-bulky texturized multifilament yarn or a PPT-bulky texturized multifilament yarn is used for the pile yarn.

Abstract: 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 (11) of the medical image processing device (1) inputs image data and stores the same in a main memory (12) (S101). Next, the CPU (11) subjects the inputted image data to threshold processing (S102). Next, the CPU (11) stores, in the main memory (12), 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 (S103). Next, the CPU (11) identifies the contact area of the bone region and the angiographically scanned region from the data stored in the main memory (12) (S104). Next, the CPU (11) emphasizes the contact area stored in the main memory (12) at the S104 and displays the contact area on a display device (15) (S105).

Abstract: A vehicular upholstery fabric is made from a raw tricot fabric which is knitted by using a PPT-multifilament yarn whose single fiber fineness is about 0.5˜6.0 dtex and whose total fineness is about 30˜180 dtex for the ground yarn and the pile yarn. The raw tricot fabric has been transformed into a napped tricot pile fabric by raising the sinker loop of the pile yarn of the raw tricot fabric to form fluffs which are then sheared to form cut piles. A PPT-bulky multifilament yarn is used for the ground yarn. A PPT-non-bulky texturized multifilament yarn or a PPT-bulky texturized multifilament yarn is used for the pile yarn.

Abstract: 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.