WO2013036007A1

WO2013036007A1 - Method for accessing 3d transmission image data for high speed driving, and user interface device therefor

Info

Publication number: WO2013036007A1
Application number: PCT/KR2012/007057
Authority: WO
Inventors: 윤준혁; 김동준; 장성철; 김규년
Original assignee: 주식회사 쓰리디산업영상
Priority date: 2011-09-05
Filing date: 2012-09-04
Publication date: 2013-03-14
Also published as: JP2014525313A; KR101138969B1

Abstract

A method for accessing 3D transmission image data for high speed driving according to the present invention comprises: a step for loading and displaying low resolution data which is down-sampled from the 3D transmission image data; a step for controlling the volume of a polyhedron surrounding a 3D object of the displayed 3D transmission image data to be circumscribed with the 3D object; and a step for loading and displaying the restored high resolution data about the 3D transmission image data inside the volume-controlled polyhedron.

Description

Access method of 3D transmission image data for high speed driving and user interface device therefor

The present invention relates to a high-speed drive for the data of the three-dimensional transmission image, and more particularly, by adjusting the volume of the polyhedron surrounding the three-dimensional object of the three-dimensional transmission image, A method of accessing 3D transmission image data to minimize data size and a user interface device therefor.

Advances in software algorithms for 3D transmission images and advances in graphics hardware make it possible to visualize complex objects and scenes in real time with realistic still and animated models. In recent years, attempts have been made to reproduce an object of 3D image on a mobile terminal device such as a smart phone, a mobile phone, a tablet PC, or a personal data assistant (PDA).

Since the data size of the 3D transmission image is large, it is difficult to access the 3D transmission image in a low specification PC or a mobile terminal device having low performance of a central processing processor (CPU). Therefore, it is necessary to minimize the size of data to be accessed for driving 3D transmission image data.

However, conventionally, in order to minimize the data capacity of the three-dimensional transmission image including the three-dimensional object, the size of the polyhedron surrounding the three-dimensional object is manually adjusted. That is, by adjusting the volume of the polyhedron of the 3D transmission image to a minimum size, the data capacity of the 3D transmission image for driving can be reduced.

1 is an example reference diagram for describing a process of reducing data capacity of a conventional 3D transmission image. As shown in FIG. 1, for a three-dimensional object, each face of the polyhedron surrounding the three-dimensional object (three faces are illustrated in FIG. 1) is displayed, and a two-dimensional corresponding to each face of the three-dimensional object. By manually adjusting the rectangular box for the image, we set the smallest polyhedral cross section containing the cross section of the three-dimensional object.

However, as described above, as the volume of the polyhedron of the three-dimensional object is adjusted by a user's manual operation, it is difficult to accurately adjust the polyhedron having a minimized volume including the three-dimensional object.

In addition, as the user manually manipulates the volume of such a polyhedron, several steps of the manipulation process must be performed, and thus a preparation time for driving the 3D transmission image takes a long time.

In addition, since the user must load all three-dimensional transmission image data, it takes a long time to load.

In addition, there is a problem that increases the eye fatigue of the user to accurately adjust the volume of the polyhedron.

The problem to be solved by the present invention is a high-speed drive to automatically adjust the volume of the polyhedron surrounding the three-dimensional object of the three-dimensional transmission image to circumscribe the three-dimensional object, and to access only the three-dimensional transmission image data in the adjusted polyhedron. The present invention relates to a 3D transmission image data access method and a user interface device therefor.

According to an aspect of the present invention, there is provided a method of accessing 3D transmission image data for high-speed driving, the method comprising: loading and displaying low-resolution data sampled down to 3D transmission image data; Adjusting a volume of a polyhedron surrounding a 3D object of the displayed 3D transmission image data to be circumscribed with the 3D object; And loading and displaying the reconstructed high resolution data with respect to the 3D transmission image data in the polyhedron with the volume adjusted.

Preferably, adjusting the volume of the polyhedron to circumscribe the 3D object comprises: detecting voxels of the 3D object among voxels of the 3D transmission image data; Detecting a maximum value and a minimum value of each of x, y and z coordinates among the detected voxels of the 3D object; And determining the detected maximum and minimum values of the x coordinate, maximum and minimum values of the y coordinate, maximum and minimum values of the z coordinate as a point to circumscribe the 3D object, and circumscribe the volume of the polyhedron. And adjusting to abut the point.

Preferably, the detecting of the voxels of the 3D object among the voxels of the 3D transmission image data comprises: selecting the voxels belonging to a lower limit and an upper limit of the density values of the voxels of the 3D object. Detecting from voxels.

Preferably, the method of accessing 3D transmission image data for high speed driving further includes setting a region of interest for displaying the 3D object after loading the 3D transmission image data of low resolution. And adjusting the volume of the polyhedron to circumscribe the set ROI.

The setting of the ROI may include setting the ROI by using a lower limit and an upper limit of density values of voxels of the 3D object.

Preferably, the detecting of the voxels of the 3D object among the voxels of the 3D transmission image data comprises: selecting the voxels belonging to a lower limit value and an upper limit value of the voxels of the 3D object in which the ROI is set. And detecting from voxels of the dimensionally transmitted image data.

Preferably, the adjusting the volume of the polyhedron to circumscribe the three-dimensional object comprises adjusting the volume of the polyhedron to be located at a point spaced apart by a predetermined offset from a point circumscribing the three-dimensional object. do.

Preferably, the method for accessing 3D transmission image data for high speed driving may further include performing any one or more operations of moving, rotating, enlarging and reducing the displayed 3D object. .

Preferably, the method for accessing 3D transmission image data for high speed driving may further include adjusting a volume of the polyhedron according to a volume size designated by a user.

Preferably, the three-dimensional transmission image data is CT (Computed Tomography) data, MRI (Magnetic Resonance Imaging) data, MRA (Magnetic Resonance Angiography) data, PET (Positron Emission Tomography) data, PET-CT (Positron Emission Tomography-) Computed Tomography (PET) data, and PET-MRI (Positron Emission Tomography-Magnetic Resonance Imaging) data.

According to an aspect of the present invention, there is provided a user interface device for accessing 3D transmission image data, including: a data access unit for loading down-resolution data obtained by down-sampling 3D transmission image data into a main memory; A display unit configured to display the 3D transmission image data loaded in the main memory; A volume adjusting unit for adjusting a volume of the polyhedron surrounding the 3D object of the displayed 3D transmission image data to be circumscribed with the 3D object; And a control unit for controlling operations of the data access unit, the display unit, and the volume adjusting unit, wherein the data access unit loads high-resolution data reconstructed with respect to 3D transmission image data in the polyhedron whose volume is adjusted. The display unit may display the restored 3D transmission image data.

Preferably, the volume adjusting unit includes: a voxel detection module configured to detect voxels of the 3D object among voxels of the 3D transmission image data; A coordinate value detection module detecting a maximum value and a minimum value of each of x, y and z coordinates among the detected voxels of the 3D object; And determining the detected maximum and minimum values of the x coordinate, maximum and minimum values of the y coordinate, maximum and minimum values of the z coordinate as a point to circumscribe the 3D object, and circumscribe the volume of the polyhedron. Characterized in that it comprises a polyhedral adjustment module to adjust to contact the point.

Advantageously, the voxel detection module detects voxels belonging to a lower limit and an upper limit among the density values of the voxels of the 3D object from the voxels of the 3D transmission image data.

Preferably, the user interface device for accessing the 3D transmission image data further includes an ROI setting unit configured to set an ROI for display on the loaded 3D object of low resolution, and the volume adjustment unit The volume of the polyhedron may be adjusted to circumscribe the region of interest set by the region of interest setting unit.

Preferably, the ROI setting unit sets the ROI by using a lower limit value and an upper limit value of density values of voxels of the 3D object.

Preferably, the voxel detection module detects voxels belonging to a lower limit and an upper limit among the density values of the voxels of the 3D object in which the ROI is set, from the voxels of the 3D transmission image data.

Preferably, the polyhedron adjustment module, characterized in that for adjusting the volume of the polyhedron to be located at a point spaced by a predetermined offset value from the point circumscribed with the three-dimensional object.

Preferably, the polyhedron adjustment module, characterized in that for adjusting the volume of the polyhedron according to the volume size specified by the user.

Preferably, the user interface device for accessing the 3D transmission image data, characterized in that it further comprises an object adjusting unit for performing any one or more of the movement, rotation, enlargement and reduction of the displayed three-dimensional object do.

According to the present invention, it is possible to automatically adjust the volume of the polyhedron surrounding the 3D object in the 3D transmission image, thereby allowing access to the 3D transmission image having a minimized data capacity. Therefore, since the amount of memory used can be reduced by reading the minimum volume from which the external area that does not need analysis in the 3D transmission image is removed into the memory, the calculation speed according to the driving of the 3D transmission image can be improved.

In addition, since the polyhedron may be automatically adjusted to have a minimized volume that includes the 3D object, the time required for accessing the 3D transmission image data may be minimized.

In addition, since the user does not need to manually manipulate the volume of the polyhedron, the user's convenience of using 3D transmission image data can be increased, and the shape is shown in 3D rather than selecting an area in the 2D plane. Intuitive and time consuming

In addition, the approximate shape of the 3D object can be confirmed in advance within a short time without loading all of the 3D transmission image from the beginning.

1 is an example reference diagram for describing a process of reducing data capacity of a conventional 3D transmission image.

2 is a flowchart of an embodiment for explaining a method of accessing 3D transmission image data for high speed driving according to the present invention.

3 is a reference diagram illustrating a 3D object of a 3D transmission image to be loaded.

FIG. 4 is a reference diagram illustrating an image of down-sampling a 2D image corresponding to some tomography images of the 3D object of FIG. 3.

5 is a reference diagram illustrating a user interface screen for accessing 3D transmission image data according to the present invention.

FIG. 6 is a reference diagram illustrating various embodiments of an ROI that is varied by adjusting a lower limit and an upper limit of a density value of a displayed three-dimensional object.

FIG. 7 is a flowchart of an exemplary embodiment for describing operation 104 illustrated in FIG. 2.

FIG. 8 is a reference diagram illustrating volume adjustment of a polyhedron with respect to 3D transmission image data in which an ROI shown in FIG. 6A is set.

FIG. 9 is a reference diagram illustrating a volume adjustment of a polyhedron with respect to 3D transmission image data in which the ROI shown in FIG. 6B is set.

FIG. 10 is a reference diagram illustrating volume adjustment of a polyhedron with respect to 3D transmission image data in which the ROI illustrated in FIG. 6C is set.

FIG. 11 is a block diagram of an embodiment for describing a user interface device for accessing 3D transmission image data according to the present invention.

Hereinafter, a method of accessing 3D transmission image data for high speed driving according to the present invention will be described in detail with reference to the accompanying drawings.

First, down-sampling low resolution data of 3D transmission image data is loaded and displayed (step 100). Here, the three-dimensional transmission image data is CT (Computed Tomography) data, MRI (Magnetic Resonance Imaging) data, MRA (Magnetic Resonance Angiography) data, PET (Positron Emission Tomography) data, PET-CT (Positron Emission Tomography-Computed Tomography) The data may correspond to any one of data or PET-MRI (Positron Emission Tomography-Magnetic Resonance Imaging) data.

When loading the 3D transmission image data, the 3D transmission image data is down sampled to load low resolution data. 3 is a reference diagram illustrating a 3D object of a 3D transmission image to be loaded. FIG. 3A illustrates a 3D object having a face shape, and FIG. 3B illustrates a 2D image corresponding to some tomography images of the 3D object of FIG. 3A. The 3D transmission image is an image that appears when all of the tomographic images of each layer are combined.

FIG. 4 is a reference diagram illustrating down-sampling of a 2D image corresponding to some tomography images of the 3D object of FIG. 3. 4 (a) corresponds to some tomographic images of the original 3D object, and has a resolution of 360 * 360. The tomographic image is loaded with an image having a resolution of 60 * 60, that is, an image sampled down to 36 times. When the tomographic images constituting the 3D object are all downsampled and loaded, the 3D image downsampled to 60 * 60 * 60 is obtained. Thereafter, the 3D image downsampled to 60 * 60 * 60 is displayed.

After operation 100, a region of interest for displaying the 3D object is set (operation 102). The region of interest refers to a display range of a 3D object to be visualized when the 3D object is displayed on a display screen.

This region of interest may be set using a lower limit value and an upper limit value of density values of voxels of the 3D object. The three-dimensional object is information of each voxel, and has a coordinate value, a color value, and a density value. Here, the density value corresponds to a value for representing the shape of the three-dimensional object. The lower limit density value means a minimum value for displaying a shape region having a low density in a three-dimensional object. The upper limit density value means a maximum value for displaying a shape region having a high density in a three-dimensional object.

5 is a reference diagram illustrating a user interface screen for accessing 3D transmission image data according to the present invention. By adjusting a menu bar for setting an ROI on the UI screen illustrated in FIG. 5, an ROI of the 3D object displayed on the display screen may be set.

FIG. 6 (a) illustrates that the lower limit of the density value is set low (for example, 12559) and the upper limit is set at an appropriate level (for example, 55654). The face of the person corresponding to the 3D object is illustrated. The shape corresponding to the skin of the shape is shown as the region of interest. 6B illustrates that the lower limit value of the density value is set (for example, 22185) at an appropriate level and the upper limit value is set high (for example, 65000 or more), and corresponds to a skeleton of the face shape. It shows that only the portion to be set is the region of interest. 6C illustrates that the lower limit value of the density value is set high (for example, 42312) and the upper limit value is set high (for example, 63000 or more). Only the part is set to the region of interest. 6 may be set by adjusting a menu bar for setting a region of interest in a lower portion of the user interface screens of FIGS. 6 (a) to 6 (c).

On the other hand, the step of setting the above-described region of interest is not necessarily required, the region of interest may be set according to the density value determined by default.

After step 102, the volume of the polyhedron is circumscribed with respect to the data in the polyhedron surrounding the 3D object, that is, the 3D transmission image data (step 104). When the user selects the menu bar corresponding to the automatic volume from the user interface screen shown in FIG. 5, the volume of the polyhedron is automatically adjusted to be circumscribed with the 3D object. Here, the polyhedron has a virtual volume surrounding the 3D object in the 3D transmission image, and for example, it may illustrate a hexahedron.

The voxels of the 3D object are detected among the voxels of the loaded 3D transmission image data (operation 200). A method for detecting voxels of a 3D object among voxels of downsampled 3D transmission image data, wherein the voxels belonging to a predetermined lower limit and an upper limit among the density values of the voxels of the 3D object are voxels of the 3D transmission image data. Detects from The voxels that do not belong to the preset lower limit and upper limit are recognized as the background of the 3D transmission image data.

In particular, for 3D transmission image data in which the ROI of the 3D object is set, voxels belonging to a lower limit and an upper limit of the density values of the voxels of the 3D object in which the ROI is set are detected from the voxels of the 3D transmission image data. In this case, the voxels that do not belong to the lower limit value and the upper limit value of the density value set as the ROI are recognized as the background of the 3D transmission image data.

After operation 200, a maximum value and a minimum value of each of x, y and z coordinates among the detected voxels of the 3D object are detected (operation 202). The maximum and minimum values of the coordinate values of all x coordinates of the voxels forming the 3D object are detected. Also, the maximum and minimum values of the coordinate values of all y coordinates of the voxels constituting the 3D object are detected. Also, the maximum and minimum values of the coordinate values of all z coordinates of the voxels constituting the 3D object are detected.

After operation 202, the detected maximum and minimum values of the x coordinate, the maximum and minimum values of the y coordinate, and the maximum and minimum values of the z coordinate are determined as points to be circumscribed of the 3D object, and thus the volume of the polyhedron. Is adjusted to contact the circumscribed point (step 204). The maximum and minimum values of the x coordinate mean that the 3D object exists in the range of minimum and maximum values with respect to the x axis, and the voxel of the 3D object exists in the range of the x axis beyond the minimum and maximum values. It means not to. In addition, the maximum and minimum values of the y coordinate mean that the 3D object exists only in the range of the minimum and maximum values based on the y axis, and the maximum and minimum values of the z coordinate mean that the 3D object is z It means that it exists only in the range of minimum and maximum with respect to the axis.

Therefore, when the polyhedron of the 3D transmission image data is adjusted to include the 3D object, the volume of the polyhedron up to the position of the maximum and minimum values of the x coordinate, the maximum and minimum values of the y coordinate, and the maximum and minimum values of the z coordinate. You can adjust the zoom out. By reducing the volume of the polyhedron to the position of the minimum and maximum values of the x, y, z coordinates of the 3D object, the polyhedron is circumscribed with the 3D object.

FIG. 8 is a reference diagram illustrating volume adjustment of a polyhedron with respect to 3D transmission image data in which an ROI shown in FIG. 6A is set. 9 is a reference diagram illustrating a volume adjustment of a polyhedron with respect to 3D transmission image data in which the ROI shown in FIG. 6B is set. FIG. 10 is a reference diagram illustrating volume adjustment of a polyhedron with respect to 3D transmission image data in which the ROI shown in FIG. 6C is set. As shown in the reference diagrams of FIGS. 8 to 10, it can be seen that the volume of the reduced polyhedron also changes according to the setting of the ROI for the 3D object.

On the other hand, in step 104, the volume of the polyhedron may be adjusted to be circumscribed with the 3D object, but the volume of the polyhedron may be adjusted to be located at a point spaced apart by a predetermined offset from the point circumscribed with the 3D object. . Instead of placing the polyhedron at the point that circumscribes the 3D object, it may be adjusted to be a polyhedron with a volume larger by a certain offset value (eg, an interval of 1 to 5 voxels) than the circumscribed point. It can also be adjusted to be a polyhedron with a smaller volume.

In operation 104, the user places an input device (eg, a cursor of a mouse, etc.) on one side of a polyhedron on the display screen instead of the automatic volume menu bar among the user interface screens illustrated in FIG. 5. When the size of the polyhedron volume is specified by adjusting (for example, dragging a mouse), the volume of the polyhedron may be adjusted according to the volume size specified by the user.

After step 104, the reconstructed high resolution data is loaded and displayed on the 3D transmission image data in the volume-adjusted polyhedron (step 106). In step 100, since the down-sampled low resolution 3D data is loaded, the data in the polyhedron with the volume adjusted is restored and loaded into the original high resolution 3D data. For example, as shown in FIG. 4 in step 100, an image having a resolution of 60 * 60 * 60, that is, an image down-sampled at 1/216 times, for three-dimensional transmission image data having a resolution of 360 * 360 * 360. When is loaded, the data in the polyhedron with the volume adjusted is reconstructed and loaded into three-dimensional transmission image data having a resolution of 216 times that of the original high resolution. After loading the 3D transmission image data restored to the original high resolution, the loaded 3D transmission image is displayed on the display screen of FIG. 5.

Meanwhile, the method of accessing 3D transmission image data for high speed driving of the present invention may perform any one or more operations of moving, rotating, enlarging and reducing the displayed 3D object. The input device (for example, the cursor of a mouse, etc.) is positioned on one side of the polyhedron displayed on the display screen, shown in FIG. 5, and the input device is adjusted (for example, the drag of a mouse, etc.) By instructing to enlarge, reduce, move, or rotate, the operations of zooming, moving, and rotating the 3D object existing in the polyhedron may be performed. Any one or more operations of moving, rotating, enlarging, and reducing the 3D object may be performed in parallel in a process of performing any step after loading low resolution 3D transmission image data.

Hereinafter, a user interface device for accessing 3D transmission image data according to the present invention will be described in detail with reference to the accompanying drawings.

FIG. 11 is a block diagram of an embodiment for describing a user interface device for accessing 3D transmission image data according to the present invention. The data access unit 300, the main memory 310, the display unit 320, and the interest are shown in FIG. The area setting unit 330, the volume adjusting unit 340, the object adjusting unit 350, and the controller 360 are configured.

The data access unit 300 down-samples the 3D transmission image data stored in the auxiliary memory such as a hard disk into low resolution data and loads the data into the main memory 310. For example, as shown in FIG. 4, the data access unit 300 is down-sampled at an image having a resolution of 60 * 60, that is, 36 times, with respect to a tomographic image of an original three-dimensional object having a resolution of 360 * 360. Load the image. In this way, the data access unit 310 down-samples and loads each of the tomographic images constituting the 3D object. By loading each of the tomographic images, the 3D image down sampled at 60 * 60 * 60 is stored in the main memory 310.

The data access unit 300 is three-dimensional transmission image data, CT (Computed Tomography) data, MRI (Magnetic Resonance Imaging) data, MRA (Magnetic Resonance Angiography) data, PET (Positron Emission Tomography) data, PET-CT (Positron Emission) Loads Tomography-Computed Tomography data or Positron Emission Tomography-Magnetic Resonance Imaging (PET-MRI) data.

The main memory 310 stores three-dimensional transmission image data loaded by the data access unit 300.

The display 320 displays 3D transmission image data loaded in the main memory 310 through the display screen illustrated in FIG. 5.

The ROI setting unit 330 sets an ROI for display of the low resolution 3D object loaded by the data access unit 300. The ROI setting unit 330 may set an ROI by using a lower limit value and an upper limit value of density values of voxels of the 3D object. The lower limit value means a minimum value for displaying a shape region having a low density in a three-dimensional object, and the upper limit value means a maximum value for displaying a shape region having a high density in a three-dimensional object. By adjusting the ROI setting menu bar on the user interface screen illustrated in FIG. 5, the ROI of the 3D object displayed on the display screen may be set. For example, when the user selects the ROI using the ROI menu bar shown at the bottom of the screens of FIGS. 6A to 6C, the ROI setting unit 330 may select a density value selected by the user. The range of the lower limit and the upper limit of is set as the display range of the three-dimensional object to be visualized. Accordingly, the 3D object is displayed only as much as the portions corresponding to the lower limit value and the upper limit value of the density value.

The volume adjusting unit 340 adjusts the volume of the polyhedron surrounding the 3D object of the 3D transmission image data loaded by the data access unit 300 to be circumscribed with the 3D object. In particular, when the ROI is set up for the 3D object by the ROI setting unit 330, the volume adjusting unit 340 adjusts the volume of the polyhedron to circumscribe the ROI. When the user selects the automatic volume menu bar among the user interface screens shown in FIG. 5, the volume adjusting unit 340 automatically adjusts the volume of the polyhedron to circumscribe the 3D object.

To this end, the volume adjusting unit 340 is composed of a voxel detection module 342, a coordinate value detection module 344, and a polyhedral adjustment module 346.

The voxel detection module 342 detects the voxels of the 3D object among the voxels of the 3D transmission image data loaded in the main memory 310, and outputs the detected result to the coordinate value detection module 344. The voxel information of the 3D object detected by the voxel detection module 342 includes a coordinate value, a color value, and a density value, respectively.

The voxel detection module 342 detects voxels belonging to a preset lower limit and upper limit among the density values of the voxels of the 3D object from the voxels of the 3D transmission image data. The voxel detection module 342 recognizes voxels that do not belong to a preset lower limit and upper limit as the background of the 3D transmission image data, thereby excluding the voxels corresponding to the background to the detection target.

On the other hand, the voxel detection module 342 is for the 3D transmission image data in which the ROI of the 3D object is set, the 3D transmission image data of the voxels belonging to the lower limit and the upper limit of the density values of the voxels of the 3D object in which the ROI is set. Detect from voxels. In this case, the voxel detection module 342 recognizes the voxels that do not belong to the lower limit value and the upper limit value of the density value set as the ROI as the background of the 3D transmission image data.

The coordinate value detection module 344 detects a maximum value and a minimum value of each of x, y and z coordinates among the voxels of the 3D object detected by the voxel detection module 342, and detects the polyhedral adjustment module 346. ) The coordinate value detection module 344 detects a maximum value and a minimum value among coordinate values of all x coordinates of the voxels forming the 3D object. In addition, the coordinate value detection module 344 detects a maximum value and a minimum value among coordinate values of all y coordinates of the voxels forming the 3D object. In addition, the coordinate value detection module 344 detects a maximum value and a minimum value among coordinate values of all z coordinates of the voxels forming the 3D object.

The polyhedron adjustment module 346 determines the detected maximum and minimum values of the x coordinate, the maximum and minimum values of the y coordinate, the maximum and minimum values of the z coordinate as a point to circumscribe the three-dimensional object, and circumscribes the volume of the polyhedron. Adjust to touch the point. Since the maximum and minimum values of the x coordinate mean that the 3D object exists in the range of the minimum and maximum values with respect to the x axis, the polyhedral adjustment module 346 selects two faces corresponding to the x axis of the polyhedron. Adjust to touch the point corresponding to the maximum and minimum value of x coordinate. In addition, since the maximum value and minimum value of the y coordinate mean that the 3D object exists in the range of the minimum value and the maximum value with respect to the y axis, the polyhedral adjustment module 346 may include two elements corresponding to the y axis of the polyhedron. Adjust the plane to touch the points corresponding to the maximum and minimum values of the y coordinate, respectively. In addition, since the maximum value and minimum value of the z coordinate mean that the 3D object exists in the range of the minimum value and the maximum value with respect to the z axis, the polyhedral adjustment module 346 includes two elements corresponding to the z axis of the polyhedron. Adjust the plane to touch the points corresponding to the maximum and minimum values of the z coordinate, respectively. As shown in the reference diagrams of FIGS. 8 to 10 described above, the polyhedral adjustment module 346 may adjust the volume of the polyhedron corresponding to the setting area of the three-dimensional object as the ROI of the three-dimensional object is changed. have.

Meanwhile, the polyhedron adjustment module 346 may adjust the volume of the polyhedron to be circumscribed with the 3D object, but may also adjust the volume of the polyhedron to be positioned at a point spaced apart by a predetermined offset from a point circumscribed with the 3D object. The polyhedron adjustment module 346 adjusts the polyhedron to have a volume larger by a certain offset value (eg, an interval of 1 to 5 voxels) than the circumscribed point instead of placing the polyhedron at the point circumscribed with the 3D object. It may be adjusted to be a polyhedron having a volume smaller by a certain offset value.

In addition, the polyhedron adjustment module 346 allows the user to place an input device (for example, a cursor of a mouse, etc.) on one side of the polyhedron on the display screen shown in FIG. 5 and adjust the input device to adjust the size of the volume of the polyhedron. If specified, the volume of the polyhedron is adjusted according to the volume size you specify.

When the volume of the polyhedron is adjusted by the volume adjusting unit 340, the data access unit 300 loads the reconstructed high resolution data into the main memory 310 for the 3D transmission image data in the adjusted polyhedron. Since the low-resolution three-dimensional data is first loaded down-sampled, the data access unit 300 restores and loads the data in the polyhedron whose volume is adjusted to the original high-resolution three-dimensional data. For example, as shown in FIG. 4, when a 3D transmission image data having a resolution of 360 * 360 * 360 is loaded with an image having a resolution of 60 * 60 * 60, that is, an image downsampled at 1/216 times Then, the data access unit 300 restores and loads the data in the polyhedron whose volume is adjusted to three-dimensional transmission image data having 216 times the resolution corresponding to the original high resolution.

The display 320 displays the image of the 3D transmission image data restored to the original high resolution by the data access unit 300 and loaded into the main memory 310 on the display screen of FIG. 5.

The object adjusting unit 350 moves, rotates, enlarges or reduces the 3D object of the 3D transmission image displayed on the display screen. When the user places an input device (e.g., a cursor of a mouse, etc.) on one side of the polyhedron displayed on the display screen, shown in FIG. 5, and instructs to enlarge, reduce, move or rotate the polyhedron, The object adjusting unit 350 performs the operations of zooming, moving, and rotating the 3D object existing in the polyhedron. The object adjusting unit 350 may perform operations such as moving, rotating, enlarging and reducing the 3D object after loading low resolution 3D transmission image data, and performing the process in parallel in any process.

The controller 360 controls operations of the data access unit 300, the main memory 310, the display unit 320, the ROI setting unit 330, the volume adjusting unit 340, and the object adjusting unit 350 described above. do. The controller 360 performs operations such as operation and comparison of data for controlling the operation of each component.

As described above, the size of the 3D transmission image data in the volume-adjusted polyhedron decreases as the volume of the polyhedron is reduced compared to the data size before the volume of the polyhedron is adjusted. Therefore, the size of the 3D transmission image data is reduced as much as the volume of the reduced polyhedron, thereby enabling high-speed driving of the 3D transmission image even on a low-spec PC or mobile terminal device.

Meanwhile, the aforementioned method of accessing 3D transmission image data for high speed driving of the present invention may be implemented by computer readable codes / instructions / programs. For example, it may be implemented in a general-purpose digital computer for operating the code / instructions / program using a computer-readable recording medium. The computer-readable recording medium includes storage media such as magnetic storage media (eg, ROM, floppy disk, hard disk, magnetic tape, etc.), optical reading media (eg, CD-ROM, DVD, etc.) .

Such a method of accessing 3D transmission image data for high speed driving and a user interface device for the same have been described with reference to the embodiments shown in the drawings for clarity of understanding. Those skilled in the art will appreciate that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention will be defined by the appended claims.

Industrial Applicability The present invention has industrial applicability in that it is a technology that enables high-speed driving in accessing data of a 3D transmission image by minimizing data capacity of a 3D transmission image including a 3D object.

Claims

Loading and displaying down-sampled low resolution data with respect to the 3D transmission image data;

Adjusting a volume of a polyhedron surrounding a 3D object of the displayed 3D transmission image data to be circumscribed with the 3D object; And

And loading and displaying the reconstructed high resolution data with respect to the three-dimensional transmission image data in the polyhedron whose volume is adjusted.
The method of claim 1, wherein adjusting the volume of the polyhedron to circumscribe the three-dimensional object

Detecting voxels of the 3D object among voxels of the 3D transmission image data;

Detecting a maximum value and a minimum value of each of x, y and z coordinates among the detected voxels of the 3D object; And

The maximum and minimum values of the detected x coordinate, the maximum and minimum values of the y coordinate, the maximum and minimum values of the z coordinate are determined as the point of circumference of the 3D object, and the point of circumscribing the volume of the polyhedron. And adjusting to contact the 3D transmission image data for high speed driving.
The method of claim 2, wherein detecting the voxels of the 3D object from among the voxels of the 3D transmission image data

And a plurality of voxels belonging to a lower limit value and an upper limit value of the density values of the voxels of the 3D object from the voxels of the 3D transmission image data.
The method of claim 1, wherein the 3D transmission image data access method for the high speed driving is performed.

After loading the low resolution 3D transmission image data, setting a region of interest for displaying the 3D object;

And adjusting the volume of the polyhedron to circumscribe the set ROI.
The method of claim 4, wherein the setting of the ROI comprises:

And setting the ROI using a lower limit value and an upper limit value of density values of the voxels of the 3D object.
The method of claim 4, wherein detecting the voxels of the 3D object from among the voxels of the 3D transmission image data

And detecting voxels belonging to a lower limit value and an upper limit value of density values of the 3D object voxels in which the ROI is set, from the voxels of the 3D transmission image data.
The method of claim 1, wherein adjusting the volume of the polyhedron to circumscribe the three-dimensional object

And adjusting the volume of the polyhedron to be located at a point spaced apart by a predetermined offset from a point circumscribed with the 3D object.
The method of claim 1, wherein the 3D transmission image data access method for high speed driving is performed.

And performing any one or more operations of moving, rotating, enlarging and reducing the displayed 3D object.
The method of claim 1, wherein the 3D transmission image data access method for high speed driving is performed.

And adjusting the volume of the polyhedron according to a volume size specified by a user.
The method of claim 1,

The 3D transmission image data includes CT (Computed Tomography) data, MRI (Magnetic Resonance Imaging) data, MRA (Magnetic Resonance Angiography) data, PET (Positron Emission Tomography) data, PET-CT (Positron Emission Tomography-Computed Tomography) data And PET-MRI (Positron Emission Tomography-Magnetic Resonance Imaging) data comprising at least one of three-dimensional transmission image data access method for high speed driving.
A data access unit which loads low-resolution data down-sampled on three-dimensional transmission image data into a main memory;

A display unit configured to display the 3D transmission image data loaded in the main memory;

A volume adjusting unit for adjusting a volume of the polyhedron surrounding the 3D object of the displayed 3D transmission image data to be circumscribed with the 3D object; And

A control unit for controlling operations of the data access unit, the display unit, and the volume adjusting unit;

The data access unit loads the high resolution data restored for the 3D transmission image data in the polyhedron whose volume is adjusted, and the display unit displays the restored 3D transmission image data. User interface device for access.
The method of claim 11, wherein the volume control unit

A voxel detection module configured to detect voxels of the 3D object among the voxels of the 3D transmission image data;

A coordinate value detection module detecting a maximum value and a minimum value of each of x, y and z coordinates among the detected voxels of the 3D object; And

The maximum and minimum values of the detected x coordinate, the maximum and minimum values of the y coordinate, the maximum and minimum values of the z coordinate are determined as the point of circumference of the 3D object, and the point of circumscribing the volume of the polyhedron. And a polyhedron adjustment module configured to be in contact with each other. 3.
The method of claim 12, wherein the voxel detection module

And a plurality of voxels belonging to a lower limit value and an upper limit value of the density values of the voxels of the 3D object from the voxels of the 3D transmission image data.
The apparatus of claim 11, wherein the user interface device for accessing the 3D transmission image data is

A region of interest setting unit configured to set a region of interest for display on the loaded 3D object of low resolution;

And the volume adjusting unit adjusts the volume of the polyhedron so as to be circumscribed to the region of interest set by the region of interest setting unit.
The apparatus of claim 14, wherein the ROI setting unit

And setting the ROI by using a lower limit value and an upper limit value of density values of the voxels of the 3D object.
15. The method of claim 14, wherein the voxel detection module

A user interface device for accessing 3D transmission image data, wherein the voxels belonging to a lower limit value and an upper limit value of the density values of the voxels of the 3D object in which the ROI is set are detected from the voxels of the 3D transmission image data. .
The method of claim 12, wherein the polyhedron adjustment module

And adjusting the volume of the polyhedron to be located at a point spaced apart by a predetermined offset from a point circumscribed with the 3D object.
The method of claim 12, wherein the polyhedron adjustment module

And adjusting the volume of the polyhedron according to a volume size designated by a user.
The apparatus of claim 11, wherein the user interface device for accessing the 3D transmission image data includes:

And an object adjuster configured to perform any one or more operations of moving, rotating, enlarging, and reducing the displayed 3D object.