JPS6129936A - Retrieval method - Google Patents

Abstract

PURPOSE:To retrieve efficiently a desired picture data in a short time by retrieving a picture data corresponding to a retrieved key word of the inputted desired picture data with priority from the retrieved data to a picture data having a high access frequency. CONSTITUTION:A retrieved key word of a desired picture data is inputted from a keyboard 15 and a retrieval device 16 retrieves the retrieval data corresponding to the retrieval key work out of the retrieved data stored in a priority retrieval data file section 14 with priority for frequency. When there is a retrieval data, a corresponding picture data is extracted from a picture data file 12 and access number of times is incremented. When no retrieval data exists, the data in a retrieval data file section 13 is retrieved. When any corresponding retrieval data exists, the corresponding picture data is extracted and the access number is incremented. The access number and the minimum access number of the picture data in the file section 14 are compared and when the latter is small, the corresponding retrieval data is erased from the file 14 and the accessed retrieval data is stored to there.

Description

[Detailed description of the invention] (Technical field) The present invention relates to a method for searching image data.

(Prior Art) Recently, medical images have been filed using computers as part of medical systems, and are used for medical history management and the like. In such a conventional filing system for medical images, as shown in FIG. The address representing the registered location and various search indexes, such as patient name, gender, date of birth, name of medical department, date of imaging, name of disease, site, date of registration, etc., are stored in the search data file section 3 and input from the keyboard 4. The search device 5 extracts the search data corresponding to the search keyword of the desired image data from the search data stored in the search data file section 3, and searches the image data based on the address in the extracted search data. Desired image data is searched from the file section 2.

However, in such a medical image filing system, the image data to be registered is extremely large, and the search data that corresponds to the image data is also extremely large. Searching for data corresponding to desired image data from the search data stored in the data file section 3 has the disadvantage that the search efficiency is poor and the search requires a long time Ftr.

(Objective of the Invention) An object of the present invention is to eliminate the above-mentioned drawbacks and to provide a search method capable of efficiently searching for desired image data in a short time.

(Summary of the Invention) In the present invention, when searching for desired image data from a plurality of image data registered in correspondence with each search data, a search keyword corresponding to the search data of the desired image data is inputted, and the search keyword is searched for. This method is characterized in that image data corresponding to a search keyword is searched with priority given to search data for image data that is accessed frequently.

(Embodiment) FIG. 1 shows the configuration of an example of a main part of an image file device implementing the present invention. In this example, the medical image is 77/
Each image data is registered in the image data file section 12 under the control of the host computer 11, and the search data is stored in the search data file section 13. Therefore, the search data file section 13 stores search data for all image data registered in the image data file section 12, as in the case of FIG.

In this example, among the search data stored in the search data file section 13, search data corresponding to frequently accessed image data is determined based on the number of accesses of that image data, A predetermined number of files are also stored in another priority search data file section 14.

In this way, when searching for desired image data, a search keyword corresponding to the search data of the desired image data is entered from the keyboard 15, and the search data corresponding to this search keyword is first searched with priority using the search bag @16. A search is made from the search data stored in the data file section 14. If there is corresponding search data, the host computer 11 uses the address in the search data.
ii corresponding to the image data file section 72 under the control of
! ii Image data is extracted, and the number of accesses to the image data is incremented. Furthermore, when there is no corresponding search data in the priority search data file section 14,
Next, data in the search data file section 13 that stores all search data is searched. If there is corresponding search data, the corresponding image data is similarly extracted based on the address in the search data, and the access count is incremented, and then the incremented access count and the priority search data file section 14 compares the minimum number of accesses among the image data corresponding to the search data stored in , and if this minimum number of accesses is smaller, deletes the corresponding search data from the priority search data file section 14. Search data corresponding to the searched image data is newly stored in the erased portion of the lever. If the comparison results in that the number of accesses for both is equal, then the registration dates of both are compared, and the newer search data is stored in the priority search data file section 14.

FIG. 3 shows a flowchart of the above search operation, the details of which have already been explained will be omitted.

According to this embodiment, the frequency of access is determined based on the number of accesses, and search data corresponding to image data that has been accessed many times is separately stored in the priority search data file section 14, and the data among these is searched preferentially. This makes it possible to search for desired image data efficiently and in a short time.

Note that the present invention is not limited to the above-mentioned example, and numerous changes and modifications are possible.

For example, in the above-mentioned embodiment, the access frequency was determined based on the number of accesses, but in the search for medical images, the newer the registration date or the newer the last search date, the higher the frequency of the next search. The access frequency can be determined based on the registration date and the last search date, or can be determined from any combination of the number of accesses, the registration date, and the last search date. Furthermore, in the above example, the search data for all image data is stored in the search data file section 13, but the data stored in the priority search data file section 14 is deleted from the search data file section 13. You can also do this.

In this case, the search data is replaced between the file sections 13 and 14 without erasing it. Furthermore, the data structure of the search data stored in the search data file section 13 and the priority search data file section 14 may be the same structure, and each data may be associated with access frequency such as the number of accesses, or both files may be stored in the search data file section 13 and the priority search data file section 14. Part 13
．． 14 may have different data structures. Also,
The present invention is not limited to the above-described search for medical image data, but can be effectively applied to searches for other image data.

(Effects of the Invention) As described above, in the present invention, the access frequency is determined based on the number of accesses, etc., and the search data for image data that is accessed frequently is given priority in the search. can be searched efficiently and in a short time.

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing the configuration of an example of a main part of an image file device implementing the present invention, FIG. 2 is a block diagram for explaining a conventional example, and FIG. 3 is the image file device shown in FIG. 1. 3 is a flowchart showing a search operation in FIG. DESCRIPTION OF SYMBOLS 11... Host computer 12... Image data file part 13... Search data file part 14... Priority search data file part 15... Keyboard 16... Search device. Figure 1 Figure 2 □ Figure 3

Claims (1)

[Claims] 1. When searching for desired image data from a plurality of image data registered in correspondence with each search data, a search keyword corresponding to the search data of the desired image data is input, and this search is performed. A search method characterized in that image data corresponding to a keyword is searched by giving priority to search data for image data that is accessed frequently. 2. Claim 1, characterized in that the access frequency is determined based on the number of times each image data has been accessed, and/or the registration date and/or the last search date.
Search method described in section.