JP2013146422A - Image processor and image processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reflect recipient information and to improve operability/diagnostic efficiency of an operator in order to examine whether or not an adaptation condition of a donor is satisfied, in an image processor.SOLUTION: An image processor 10 includes: an association part 42 for associating donor information related to a donor stored in a storage device and recipient information related to a recipient corresponding to the donor information; an information acquisition part 43 for acquiring the associated donor information and recipient information; a transplant part candidate extraction part 45 for extracting a plurality of transplant part candidates in a transplant organ on the basis of image data included in the acquired donor information; an item/importance degree setting part 48 for setting a plurality of determination items; and an evaluation part 49 for generally evaluating the plurality of transplant part candidates respectively according to the plurality of determination items on the basis of the acquired donor information and recipient information. A result of an evaluation is displayed at a display device 26.

Description

  The present embodiment as one aspect of the present invention relates to an image processing apparatus and an image processing method for displaying image data of donors and recipients.

  As a medical treatment that is performed when organs that play an important role in sustaining life, such as the heart, liver, lungs, and kidneys, are almost (or not) functioning and there is no treatment other than replacing the organs, There is an organ transplant.

  Liver transplantation includes brain death liver transplantation in which a liver is provided from a brain death donor (organ donor), and living liver transplantation in which a part of the liver is provided from a donor such as a related family member. Currently, brain death liver transplantation is the mainstream in foreign countries, but living liver transplantation is the mainstream in Japan because there are few brain death donors.

The donor's indications for living donor liver transplantation are:
(1) Family or relatives (2) Resistant to hepatectomy (3) No infection using blood or body fluid as a medium (4) Normal liver (5) Dissection of liver vascular system to provide Suitable (6) A liver graft of the size required by the recipient.

  In living donor liver transplantation, diagnostic imaging is separately performed for a donor and a recipient (organ recipient), and the transplanted part including whether transplantation is possible is examined. For example, in living donor liver transplantation, a graft, which is a transplanted part, is examined by using a support display application for determining a resected part for donor image data. The graft requires a sufficient volume for the recipient, and it is necessary to consider whether it can be transplanted in consideration of the vascular system.

  As a related art related to the present embodiment, Patent Document 1 is cited.

JP 2006-263241 A

  In order to examine whether the donor adaptation conditions described in (1) to (6) above are satisfied, the recipient information (including image data) is reflected in the recipient information (including image data). There is a need. However, the current situation is that image diagnosis is performed separately using donor information and recipient information. Recipient information is not reflected in order to examine whether the donor's indication conditions are met. In particular, it is necessary to reflect the recipient information in the donor information in order to determine whether the donor adaptation conditions described in (5) and (6) are satisfied.

  In addition, since the judgment as to whether or not the donor's adaptation conditions described in (5) and (6) are satisfied is based on the skill of the doctor, there was a variation in diagnosis due to the difference in the skill of the doctor.

  In order to solve the above-described problem, the image processing apparatus according to the present embodiment acquires association information for associating donor information regarding a donor and recipient information regarding a recipient, and the associated donor information and recipient information. Information acquisition means, extraction means for extracting a plurality of transplant portion candidates in a transplanted organ based on image data included in the acquired donor information, setting means for setting a plurality of determination items, and the acquisition Evaluation means for comprehensively evaluating each of the plurality of transplant portion candidates according to the plurality of determination items based on the donor information and recipient information, and a display control means for displaying the result of the evaluation on a display device; Have.

  In order to solve the above-described problem, the image processing method according to the present embodiment associates donor information related to a donor stored in a storage device with recipient information related to a recipient stored in the storage device, and the association is performed. Acquiring donor information and recipient information, extracting a plurality of transplant part candidates in a transplanted organ based on image data included in the acquired donor information, setting a plurality of determination items, and acquiring the information Based on the donor information and the recipient information, the plurality of transplanted part candidates are comprehensively evaluated according to the plurality of determination items, and the evaluation result is displayed on a display device.

1 is a schematic diagram illustrating a configuration of an image processing apparatus according to an embodiment. 1 is a diagram illustrating an example of a hardware configuration of an image processing apparatus according to an embodiment. FIG. 2 is a block diagram illustrating functions of the image processing apparatus according to the embodiment. The figure for demonstrating a judgment item and importance. The figure which shows the relationship between liver capacity determination, liver property determination, vascular determination, and comprehensive evaluation. The flowchart which shows the procedure of liver capacity determination. The figure for demonstrating an evaluation result. The figure which shows the 1st example of a display. The figure which shows the 2nd example of a display. The figure which shows the 3rd example of a display. The figure for demonstrating the cutting position of the blood vessel and a bile duct moved interlockingly.

  An image processing apparatus and an image processing method of this embodiment will be described with reference to the accompanying drawings.

  FIG. 1 is a schematic diagram illustrating a configuration of an image processing apparatus according to the present embodiment.

  FIG. 1 includes an image generation apparatus (modality) 8, an image management apparatus (image server) 9, and an image processing apparatus (work station) 10 according to this embodiment. A plurality of image processing apparatuses 10 may be provided.

  The image generation device 8, the image management device 9, and the image processing device 10 are configured based on a computer. In addition, the image generation device 8, the image management device 9, and the image processing device 10 are connected to each other via a network N such as a hospital backbone LAN (local area network). The image processing apparatus 10 may not be connected to the network N so as to be capable of mutual communication.

  Examples of the image generation apparatus 8 include an ultrasonic diagnostic apparatus, an X-ray CT (computed tomography) apparatus, an MRI (magnetic resonance imaging) apparatus, an angio apparatus, and the like. Generally, a plurality of image generation apparatuses are provided in a network N network. 8 is connected. The image generation device 8 generates image data related to a subject such as an imaging region of a patient in association with incidental information.

  The image management device 9 is a DB (data base) server that receives and stores the image data generated by the image generation device 8 via the network N.

  FIG. 2 is a diagram illustrating an example of a hardware configuration of the image processing apparatus 10 according to the present embodiment.

  FIG. 2 shows a hardware configuration of the image processing apparatus 10. The image processing apparatus 10 mainly includes a CPU (central processing unit) 21, a memory 22, an HDD (hard disc drive) 23, an IF (IF) (control device). interface) 24, input device 25, display device 26, and the like. The CPU 21 is interconnected to each hardware component constituting the image processing apparatus 10 via a bus B as a common signal transmission path.

  The CPU 21 is a control device having a configuration of an integrated circuit (LSI) in which an electronic circuit made of a semiconductor is enclosed in a package having a plurality of terminals. The CPU 21 executes a program stored in the memory 22. Alternatively, the CPU 21 has a function of loading a program stored in the HDD 23, a program transferred from the network N, received by the IF 24 and installed in the HDD 23 into the memory 22 and executing the program.

  The memory 22 is a storage device including a read only memory (ROM) and a random access memory (RAM). The memory 22 has a function of storing an initial program loading (IPL), a BIOS (basic input / output system), and data, and a work memory of the CPU 21 and a temporary storage of data.

  The HDD 23 is a storage device having a configuration in which a metal disk coated or vapor-deposited with a magnetic material is incorporated in a reading device (not shown) in a non-detachable manner. The HDD 23 has a function of storing a program installed in the image processing apparatus 10 (including an OS (operating system) in addition to an application program) and various data.

  The IF 24 includes a connector that conforms to a parallel connection specification or a serial connection specification. The IF 24 has a function of performing communication control according to each standard and connecting to the network N through a telephone line, thereby connecting the image processing apparatus 10 to the network N network.

  The input device 25 includes a keyboard and a mouse that can be operated by an interpreter (operator) such as a doctor. An input signal according to the operation of the input device 25 is sent to the CPU 21 via the bus B.

  The display device 26 includes a D / A (digital to analog) conversion circuit and a monitor (not shown).

  FIG. 3 is a block diagram illustrating functions of the image processing apparatus 10 according to the present embodiment.

  When the program is executed by the CPU 21 (shown in FIG. 2), the image processing apparatus 10 includes an interface unit 41, an association unit 42, an information acquisition unit 43, a transplanted organ extraction unit 44, and a transplant part (graft) candidate extraction unit 45. , The excision organ extraction unit 46, the excision part candidate extraction unit 47, the item / importance setting unit 48, the evaluation unit 49, the superiority calculation unit 50, the transplantation part determination unit 51, and the cutting position changing unit 52. The constituent elements 41 to 52 will be described by taking a case of functioning as software as an example. However, some or all of the constituent elements 41 to 52 are provided in the image processing apparatus 10 as hardware. It may be.

  The interface unit 41 is an interface such as a GUI (Graphical User Interface) that mediates the components 42 to 52, the input device 25, and the display device 26.

  The associating unit 42 includes personal information (patient name, patient ID, height, weight, etc.) and image data (in the case of liver transplantation) related to the donor stored in the storage device such as the image generation device 8, the image management device 9, and the HDD 23. : Donor information including abdominal contrast-enhanced CT image data (tomographic data or volume data)) and personal information and image data (liver transplantation) corresponding to the donor information (such as healthy relatives) In the case of: a function of associating with recipient information including abdominal contrast CT image data (tomographic data or volume data)). A dedicated database may be formed based on the donor information and the recipient information associated by the associating unit 42.

  The information acquisition unit 43 has a function of acquiring donor information and recipient information associated by the association unit 42. For example, the information acquisition unit 43 stores the image generation device 8, the image management device 9, and the storage device such as the HDD 23 on the basis of the donor or recipient identification information input from the input device 25 via the interface unit 41. When the stored donor information is selected, the selected donor information and the associated recipient information are obtained. When the recipient information is selected, the selected recipient information and the associated recipient information are acquired. Acquire donor information. The information acquisition unit 43 acquires donor information and recipient information from the image generation device 8 and the image management device 9 via the network N, and acquires donor information and recipient information from a storage device such as the HDD 23. Donor information and recipient information acquired by the information acquisition unit 43 are displayed on the same screen of the display device 26 via the interface unit 41.

  The transplanted organ extraction unit 44 extracts the transplanted organ (lung, heart, liver, pancreas, kidney, small intestine, etc.) as image data based on the donor image data included in the donor information acquired by the information acquisition unit 43. Has the function of In the case of living liver transplantation, the transplanted organ extraction unit 44 extracts a healthy liver based on donor image data. The transplanted organ extraction unit 44 extracts a transplanted organ based on a region input by the input device 25 via the interface unit 41 on the image data displayed on the display device 26 via the interface unit 41 or a known technique. To do. The image data of the donor's transplanted organ extracted by the transplanted organ extracting unit 44 may be displayed on the display device 26 via the interface unit 41.

  The transplant part candidate extracting unit 45 has a function of extracting a plurality of transplant part candidates G1 to GI in the transplanted organ based on the donor transplanted organ extracted by the transplanted organ extracting unit 44. For example, the transplant portion candidate extraction unit 45 extracts the right liver lobe (front zone, rear zone) and the left liver lobe (outer zone, inner zone) as a plurality of transplant site candidates G1 to GI. The image data of a plurality of donor transplant candidate G1 to GI extracted by the transplant candidate extraction unit 45 may be displayed on the display device 26 via the interface unit 41.

  The excised organ extraction unit 46 has a function of extracting an excised organ (extracted organ) corresponding to the transplanted organ of the donor as image data based on the recipient image data included in the recipient information acquired by the information acquisition unit 43. Have In the case of living donor liver transplantation, the excised organ extraction unit 46 extracts a liver with end-stage liver failure based on the image data of the recipient. The excision organ extraction unit 46 extracts an excision organ based on a region input by the input device 25 via the interface unit 41 on the image data displayed on the display device 26 via the interface unit 41 or a known technique. To do. The image data of the recipient's excised organ extracted by the excised organ extracting unit 46 may be displayed on the display device 26 via the interface unit 41.

  The excision part candidate extraction unit 47 has a function of extracting an excision part candidate based on the transplanted organ of the recipient extracted by the excision organ extraction part 46. The image data of the recipient's excision portion candidate extracted by the excision portion candidate extraction unit 47 may be displayed on the display device 26 via the interface unit 41.

  The item / importance level setting unit 48, for each transplant part candidate Gi (i = 1, 2,..., I) extracted by the transplant part candidate extraction unit 45, a plurality of determination items and the importance ( (Weight)). For example, the item / importance setting unit 48 determines the importance for each determination item and each determination item based on the plurality of determination items input by the input device 25 via the interface unit 41 and the importance for each determination item. And set. The item / importance level setting unit 48 may set the determination item and the importance level for each determination item for each operator, or the determination item and the importance level for each determination item for each group to which a plurality of operators belong. May be set. Further, the item / importance level setting unit 48 may set a determination item for each operator and may set an importance level for each determination item for each group.

  FIG. 4 is a diagram for explaining determination items and importance.

  FIG. 4 shows a plurality of determination items (1, 2, 3) set by the item / importance level setting unit 48 and an importance level P (100, 50) for each determination item set by the item / importance level setting unit 48. , 10).

  Returning to the description of FIG. 3, the evaluation unit 49 sets a plurality of determination items set by the item / importance level setting unit 48 for each transplant portion candidate Gi extracted by the transplant portion candidate extraction unit 45 and each determination item. It has a function of evaluating the transplant part candidate Gi according to the importance.

  In the case of living donor liver transplantation, the evaluation unit 49 includes, for example, a liver volume determination unit 49a that determines a liver volume as an individual determination item, a liver property determination unit 49b that determines a liver property as an individual determination item, and an individual As a determination item, there are a vascular / bile duct determination unit 49c that determines a vascular vessel, and a comprehensive evaluation unit 49d that comprehensively evaluates the determination results of liver capacity, liver properties, and vascularity. FIG. 5 shows the relationship between liver volume determination by the liver volume determination unit 49a, liver property determination by the liver property determination unit 49b, vascular determination by the vascular / bile duct determination unit 49c, and comprehensive evaluation by the comprehensive evaluation unit 49d. Shown in

  Note that the determination items are not limited to the above. Judgment items include, for example, the remaining donor liver volume after transplantation (the value obtained by subtracting the liver volume of the transplant candidate from the liver volume of the donor), and the recipient liver volume after transplantation (removed from the standard liver volume of the recipient). It may be a value obtained by subtracting the partial candidates and further adding the liver volume of the transplant candidate.

  The liver volume determination unit 49a calculates the liver volume determination result by determining the liver volume of the transplant part candidate Gi based on the recipient information, the extracted transplant organ, and the plurality of transplant part candidates G1 to GI. It has a function.

  FIG. 6 is a flowchart showing a procedure for determining the liver capacity by the liver capacity determining unit 49a.

  As shown in FIG. 6, the liver volume determination unit 49a calculates the maximum liver volume D that can be provided based on the liver as the transplanted organ of the donor extracted by the transplanted organ extraction unit 44 (step ST11). . For example, in step ST11, the liver volume determination unit 49a calculates the maximum liver volume D that can provide a required ratio (for example, 65%) of the volume of the liver extracted by the transplanted organ extraction unit 44.

  The liver volume determination unit 49a calculates the liver volume Vi for each of the transplant part candidates Gi of the plurality of transplant part candidates G1 to GI extracted by the transplant part candidate extraction unit 45 (step ST12). The liver volume determination unit 49a calculates a liver volume Vi ′ smaller than (or less than or equal to) the maximum available liver volume D calculated in step ST11 among the liver volumes Vi calculated in step ST12. Extract (step ST13).

Moreover, the liver volume determination part 49a estimates a recipient's body surface area based on the height and weight contained in the recipient information acquired by the information acquisition part 43 (step ST14). For example, in step ST14, the liver capacity determination unit 49a estimates the body surface area (BSA [m ² ]) according to the following equation (1).

BSA ^[m 2] = weight ^0.425 × height ^0.725 × 0.007184 ... (1)

  Furthermore, the liver volume determination unit 49a estimates the standard liver volume based on the body surface area estimated in step ST14 (step ST15). For example, in step ST15, the liver volume determination unit 49a estimates a standard liver volume (SLV [mL]) that indicates an average liver size in a healthy person according to the following equation (2).

SLV [mL] = 706.2 × BSA [m ² ] +2.4 (2)

  The liver volume determination unit 49a calculates the minimum liver volume R necessary for the recipient based on the standard liver volume estimated in step ST15 (step ST16). For example, in step ST16, the liver volume determination unit 49a calculates the required ratio (for example, 40%) of the standard liver volume estimated in step ST15 as the minimum liver volume R necessary for the recipient.

  The liver volume determination unit 49a compares the liver volume Vi ′ extracted in step ST13 with the liver volume R calculated in step ST16 to determine the liver volume Vi ′ (step ST17). For example, in step ST17, the liver volume determination unit 49a determines (quantifies) the ratio of the liver volume Vi ′ extracted in step ST13 to the liver volume R calculated in step ST16 to determine the liver volume Vi ′. To do.

  Returning to the description of FIG. 3, the liver property determination unit 49b determines the liver property of the transplant part candidate Gi, particularly the presence or absence of cancer, based on the plurality of transplant part candidates G1 to GI, and calculates the liver property determination result. It has a function. Liver analysis by the liver property determination unit 49b is based on known technology or liver property determination input by the input device 25 via the interface unit 41 on the image data displayed on the display device 26 via the interface unit 41. Also good.

  The vascular / bile duct determination unit 49c is based on a plurality of transplant part candidates G1 to GI, an excision part candidate (a part obtained by removing the excision part candidate from the excision organ), and the set vascular / bile duct cutting position. It has a function of calculating the vascular / bile duct determination result by determining the state of the blood vessels (portal vein, hepatic artery, and hepatic vein) and the bile duct corresponding to the transplant portion candidate Gi. The vascular analysis performed by the vascular / bile duct determination unit 49c may use a known technique, or may be performed on the image data displayed on the display device 26 via the interface unit 41 by the input device 25 via the interface unit 41. The input aneurysm, stenosis, diameter, and length may be based on vascular / bile duct determination.

  The comprehensive evaluation unit 49d has a function of performing comprehensive evaluation for each transplant portion candidate Gi based on the determination results of the liver volume determination unit 49a, the liver property determination unit 49b, and the vascular / bile duct determination unit 49c. .

  FIG. 7 is a diagram for explaining the evaluation results.

  FIG. 7 shows a plurality of determination items (liver volume, liver properties, vascular / bile ducts) set by the item / importance level setting unit 48 and importance levels for each determination item set by the item / importance level setting unit 48. The product (1000) of P (100, 10, 50), the degree M (10, 40, 50) of the individual judgment result for each judgment item, and the degree of importance P for each judgment item and the degree M of the individual judgment result , 400, 2500) and a comprehensive evaluation result (3900). A comprehensive evaluation result as shown in FIG. 7 is calculated for each transplant portion candidate Gi.

  Returning to the description of FIG. 3, the superiority calculation unit 50, based on the comprehensive evaluation result by the evaluation unit 49, a plurality of transplant portion candidates G1 to GI (or a plurality of transplant portion candidates G1 to GI extracted by the transplant portion candidate extraction unit 45). Among the transplantation part candidates G1 to GI, a transplantation part candidate corresponding to a liver capacity Vi ′ smaller than the maximum provided liver capacity D is calculated. The superiorities of the plurality of transplant portion candidates G1 to GI calculated by the superiority calculation unit 50 are displayed on the display device 26 via the interface unit 41. The superiority calculation unit 50 causes the display device 26 to display the transplant portion candidate Gi having the highest superiority via the interface unit 41. The display contents are preferably the transplant part candidate Gi having the highest priority and the part obtained by removing the excision part candidate from the excision organ.

  FIG. 8 is a diagram illustrating a first display example.

  The lower part of FIG. 8 shows the individual determination results and the overall evaluation results in the order of the superiority calculated by the superiority calculation unit 50, and the upper left side of FIG. 8 corresponds to the superiority selected in the lower part. The right side of the upper part of FIG. 8 shows a part obtained by removing the candidate for excision from the resected organ corresponding to the superiority “1” selected in the lower part. FIG. 8 shows a case where the transplanted part candidate Gi is the right liver lobe, the left liver lobe, and the outer liver area.

  In the table shown in the lower part of FIG. 8, the score for the liver volume, the liver property, and the vascular / bile duct as the determination items and the total score are shown for each degree of superiority.

  FIG. 9 is a diagram illustrating a second display example.

  The lower part of FIG. 9 shows the individual determination results and the overall evaluation results in the order of the superiorities calculated by the superiority calculation unit 50, and the upper left side of FIG. 9 corresponds to the superiority selected in the lower part. The right side of the upper part of FIG. 9 shows the part obtained by removing the excised part candidate from the excised organ corresponding to the superiority “1” selected in the lower part. FIG. 9 shows the case where the transplanted part candidate Gi is the right liver lobe, the liver left lobe, and the liver outer area.

  In the table shown in the lower part of FIG. 9, step-by-step determination (◎, ○, Δ) based on Score for the liver volume, liver properties, and blood vessels / bile ducts as determination items is shown for each superiority. .

  FIG. 10 is a diagram illustrating a third display example.

  The lower part of FIG. 10 shows the individual determination results and the overall evaluation results in the order of the superiority calculated by the superiority calculation unit 50, and the upper left side of FIG. 10 corresponds to the superiority selected in the lower part. The right side of the upper part of FIG. 10 shows the part obtained by removing the excised part candidate from the excised organ corresponding to the superiority “1” selected in the lower part. FIG. 10 shows the case where the transplanted part candidate Gi is the right liver lobe, the liver left lobe, and the liver outer area.

  In the table shown in the lower part of FIG. 10, the donor's estimated remaining liver volume (the value obtained by subtracting the liver volume Vi of the transplant candidate candidate Gi from the liver volume of the donor's liver), the recipient liver volume after transplantation (the height of the recipient information) And a value obtained by subtracting the excision portion candidate from the standard liver volume calculated according to the above formulas (1) and (2) based on the body weight, and adding the liver volume Vi of the transplant portion candidate Gi), liver properties, and vascularity A stepwise judgment (◎, ○, Δ) based on Score for the bile duct is shown for each superiority.

  Returning to the description of FIG. 3, the transplant part determination unit 51 has a function of determining a transplant part among a plurality of transplant part candidates. For example, the transplantation part determination unit 51 receives an instruction input from the input device 25 via the interface unit 41 on the image data shown in FIGS. 8 to 10 displayed on the display device 26 via the interface unit 41. Based on this, the transplanted part is determined. The image data of the transplanted part determined by the transplanted part determining unit 51 may be displayed on the display device 26 via the interface unit 41.

  The cutting position changing unit 52 moves the cutting position of the vascular / bile duct on the recipient's image indicating the vascular / bile duct (may also indicate an excised organ), and the organ determined by the transplanted part determining unit 51 In addition, it has a function of changing the set cutting position of the vascular / bile duct by interlocking with the movement of the cutting position of the vascular / bile duct on the donor image indicating the vascular / bile duct. The cutting position changing unit 52 operates on the image data shown in FIGS. 8 to 10 displayed on the display device 26 through the interface unit 41 based on an instruction input by the input device 25 through the interface unit 41. Change the cutting position of the tube / bile duct.

  FIG. 11 is a diagram for explaining a cutting position of a vascular / bile duct that is moved in conjunction with each other.

  As shown in FIG. 11, in conjunction with the movement of the cutting position of the right hepatic vein as the recipient's vasculature based on the instruction input by the input device 25 via the interface unit 41, the right hepatic vein of the donor The cutting position moves. In addition, the cutting position of the right hepatic vein of the recipient moves in conjunction with the movement of the cutting position of the right hepatic vein as the donor's vasculature. Since the vascular / bile duct determination unit 49c changes the vascular / bile duct cutting position by moving the recipient (or donor) right hepatic vein cutting position, the evaluation unit The overall rating by 49 changes.

  According to the image processing apparatus 10 of the present embodiment, since the recipient information can be reflected in order to examine whether the adaptation conditions of the donor are satisfied, the operability and diagnostic efficiency of the operator can be improved. .

  In addition, according to the image processing apparatus 10 of the present embodiment, the determination of whether or not the donor's adaptation conditions are satisfied is automated based on the quantified data, thereby eliminating variations in diagnosis due to differences in doctor skills. Can do.

  Although several embodiments of the present invention have been described above, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

10 Image processing device 21 CPU
41 Interface unit 42 Association unit 43 Information acquisition unit 44 Transplanted organ extraction unit 45 Transplanted part candidate extraction unit 46 Resectioned organ extraction unit 47 Resectioned part candidate extraction unit 48 Item / importance setting unit 49 Evaluation unit 49a Liver capacity determination unit 49b Liver properties Determination unit 49c Vascular / bile duct determination unit 49d Comprehensive evaluation unit 50 Superiority calculation unit 51 Transplantation part determination unit 52 Cutting position change unit

Claims (8)

An association means for associating donor information about the donor with recipient information about the recipient;
Information acquisition means for acquiring the associated donor information and recipient information;
Based on the image data included in the acquired donor information, extraction means for extracting a plurality of transplant portion candidates in the transplanted organ;
Setting means for setting a plurality of judgment items;
Based on the acquired donor information and recipient information, according to the plurality of determination items, evaluation means for comprehensively evaluating each of the plurality of transplant portion candidates,
Display control means for displaying the result of the evaluation on a display device;
An image processing apparatus.   The image processing apparatus according to claim 1, wherein the display control unit displays the result of the evaluation and the acquired donor information and recipient information on the same screen. The setting means sets the plurality of determination items and importance for each determination item,
The evaluation means determines transplant part candidates for each determination item according to the plurality of determination items and the importance based on the acquired donor information and recipient information, and combines the plurality of transplant part candidates respectively. The image processing apparatus according to claim 1, wherein the image processing apparatus is evaluated in an automatic manner.   The image processing apparatus according to claim 3, wherein the donor information includes image data of the donor, and the recipient information includes image data of the recipient and height and weight as personal information regarding the recipient.   In the case of living donor liver transplantation, the setting means sets at least liver volume, liver properties, and vessels / bile ducts as the plurality of determination items, and importance levels for the liver volume, liver properties, and vessels / bile ducts, respectively. The image processing apparatus according to claim 4, wherein:   The evaluation means determines the vascular / bile duct as the determination item based on the cutting position of the vascular / bile duct set based on the image data of the donor and the image data of the recipient. Item 6. The image processing apparatus according to Item 5. A determining means for determining a transplanted portion based on an evaluation result relating to the plurality of transplanted portion candidates;
Movement of the cutting position of the vessel / bile duct on the recipient image showing the vessel / bile duct and movement of the cutting position of the vessel / bile duct on the donor image showing the transplanted part, vessel / bile duct A cutting position changing means for interlocking and changing the cutting position of the vascular / bile duct;
The image processing apparatus according to claim 6, wherein the evaluation unit determines again the vascular / bile duct as the determination item based on the changed cutting position. Associating donor information related to the donor stored in the storage device with recipient information related to the recipient stored in the storage device;
Obtaining the associated donor information and recipient information;
Based on the image data included in the acquired donor information, extract a plurality of transplant part candidates in the transplanted organ,
Set multiple judgment items,
Based on the acquired donor information and recipient information, according to the plurality of determination items, each of the plurality of transplant part candidates is comprehensively evaluated,
An image processing method for displaying a result of the evaluation on a display device.

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