IP Library Granted Patent US 12,488,458
Granted Patent B2
US 12,488,458 · App. 17/953,340 · Granted Dec 2, 2025

Image processing device, image processing method, and program for outputting information for displaying two-dimensional image corresponding to cross section

Inventor: Yuka Oyama (Tokyo, JP)
Assignee: FUJIFILM Corporation
G06T7/0012G06T7/60G06T7/70G06V10/25G06T2207/30096
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,488,458
App. No.
17/953,340
Granted
Dec 2, 2025
Kind
B2
Abstract

An image processing device includes a processor, and the processor is configured to output information for displaying a three-dimensional target part image as a three-dimensional image showing a target part, on a display device, calculate a virtual axis of the target part in the three-dimensional target part image, output information for displaying a two-dimensional image corresponding to a first cross section crossing a first position on the virtual axis, on the display device, change a geometrical characteristic of the first cross section in response to an instruction to change the geometrical characteristic, and output information for displaying a two-dimensional image corresponding to a second cross section obtained by changing the geometrical characteristic, on the display device.

Claims (76)

1 . An image processing device comprising:

a processor,

wherein the processor is configured to

output information for displaying a three-dimensional target part image as a three-dimensional image showing a target part, on a display device,

extract a virtual axis of the target part in the three-dimensional target part image by executing a thinning processing on the three-dimensional target part image,

specify a geometrical characteristic of a first cross section on the virtual axis of the target part in the three-dimensional target part image,

acquire a plurality of pixel values in the three-dimensional target part image in a plurality of cross sections,

generate a two-dimensional image corresponding to a first cross section crossing a first position on the virtual axis from the plurality of pixel values,

output information for displaying the two-dimensional image corresponding to the first cross section crossing the first position on the virtual axis, on the display device,

change the geometrical characteristic of the first cross section in response to an instruction to change the geometrical characteristic,

generate a two-dimensional image corresponding to a second cross section obtained by changing the geometrical characteristic of the first cross section from the plurality of pixel values, and

output information for displaying the two-dimensional image corresponding to the second cross section obtained by changing the geometrical characteristic of the first cross section, on the display device.

2 . The image processing device according to claim 1 ,

wherein the geometrical characteristic is at least one of a position of the first cross section on the virtual axis or an inclination of the first cross section with respect to the virtual axis.

3 . The image processing device according to claim 1 ,

wherein a position of the second cross section is at least one of a position where the first cross section is slid in a virtual axis direction, a position where the first cross section is rotated with the virtual axis as a rotation axis, or a position where the first cross section is rotated with an axis crossing the virtual axis and following a normal direction of the first cross section as a rotation axis.

4 . The image processing device according to claim 1 ,

wherein the processor is configured to divide the three-dimensional target part image into a first region and a second region along the second cross section.

5 . The image processing device according to claim 4 ,

wherein the processor is configured to output information for displaying any one of the first region or the second region on the display device.

6 . The image processing device according to claim 5 ,

wherein the processor is configured to output, based on information specifying a region of interest in the three-dimensional target part image, information for displaying a region where the region of interest is not included, out of the first region and the second region, on the display device.

7 . The image processing device according to claim 1 ,

wherein the processor is configured to

specify a region of interest in the three-dimensional target part image, and

calculate the geometrical characteristic based on a position of the region of interest in the three-dimensional target part image and on a volume of a region where the region of interest is not included or a volume of a region where the region of interest is included.

8 . The image processing device according to claim 7 ,

wherein the processor is configured to calculate a geometrical characteristic for maximizing a volume of the region where the region of interest is not included, out of regions to be a display target in the three-dimensional target part image.

9 . The image processing device according to claim 1 ,

wherein the virtual axis is a central axis of the target part.

10 . The image processing device according to claim 1 ,

wherein the processor is configured to

specify a region of interest in the three-dimensional target part image, and

output information for displaying a region in a designated range from the region of interest as a peripheral region of the region of interest.

11 . The image processing device according to claim 10 ,

wherein the processor is configured to make a notification device give notification in a case where the peripheral region crosses at least one of the first cross section or the second cross section.

12 . The image processing device according to claim 1 ,

wherein the target part is a designated organ, and

the three-dimensional target part image is a three-dimensional organ image showing the organ.

13 . The image processing device according to claim 12 ,

wherein the processor is configured to restrict the instruction for the geometrical characteristic of the first cross section based on information regarding the organ.

14 . The image processing device according to claim 13 ,

wherein the information regarding the organ includes information regarding an operation of the organ.

15 . The image processing device according to claim 12 ,

wherein the processor is configured to specify a region of interest in the three-dimensional organ image, and

the region of interest is a region showing a lesion part in the organ.

16 . The image processing device according to claim 12 ,

wherein the organ is a pancreas.

17 . The image processing device according to claim 1 ,

wherein a position of the second cross section is at least one of a position where the first cross section is slid in a virtual axis direction, a position where the first cross section is rotated with the virtual axis as a rotation axis, or a position where the first cross section is rotated with an axis crossing the virtual axis and following a normal direction of the first cross section as a rotation axis, and

wherein the processor is configured to divide the three-dimensional target part image into a first region and a second region along the second cross section.

18 . The image processing device according to claim 1 ,

wherein the processor is configured to

specify a region of interest in the three-dimensional target part image, and

calculate the geometrical characteristic based on a position of the region of interest in the three-dimensional target part image and on a volume of a region where the region of interest is not included or a volume of a region where the region of interest is included, and

wherein the geometrical characteristic is at least one of a position of the first cross section on the virtual axis or an inclination of the first cross section with respect to the virtual axis.

19 . An image processing method comprising:

outputting information for displaying a three-dimensional target part image as a three-dimensional image showing a target part, on a display device;

extracting a virtual axis of the target part in the three-dimensional target part image by executing a thinning processing on the three-dimensional target part image;

specifying a geometrical characteristic of a first cross section on the virtual axis of the target part in the three-dimensional target part image;

acquiring a plurality of pixel values in the three-dimensional target part image in a plurality of cross sections;

generating a two-dimensional image corresponding to a first cross section crossing a first position on the virtual axis from the plurality of pixel values;

outputting information for displaying the two-dimensional image corresponding to the first cross section crossing the first position on the virtual axis, on the display device;

changing the geometrical characteristic of the first cross section in response to an instruction to change the geometrical characteristic;

generating a two-dimensional image corresponding to a second cross section obtained by changing the geometrical characteristic of the first cross section from the plurality of pixel values; and

outputting information for displaying the two-dimensional image corresponding to the second cross section obtained by changing the geometrical characteristic of the first cross section, on the display device.

20 . A non-transitory storage medium storing program that causes a computer to execute a process, the process comprising:

outputting information for displaying a three-dimensional target part image as a three-dimensional image showing a target part, on a display device;

extracting a virtual axis of the target part in the three-dimensional target part image by executing a thinning processing on the three-dimensional target part image;

specifying a geometrical characteristic of a first cross section on the virtual axis of the target part in the three-dimensional target part image;

acquiring a plurality of pixel values in the three-dimensional target part image in a plurality of cross sections;

generating a two-dimensional image corresponding to a first cross section crossing a first position on the virtual axis from the plurality of pixel values;

outputting information for displaying the two-dimensional image corresponding to the first cross section crossing the first position on the virtual axis, on the display device;

changing the geometrical characteristic of the first cross section in response to an instruction to change the geometrical characteristic;

generating a two-dimensional image corresponding to a second cross section obtained by changing the geometrical characteristic of the first cross section from the plurality of pixel values; and

outputting information for displaying the two-dimensional image corresponding to the second cross section obtained by changing the geometrical characteristic of the first cross section, on the display device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 28, 2022
From: OYAMA, YUKA
To: FUJIFILM CORPORATION
Reel/Frame 061248/0586 →
Priority Claims (1)
JP 2021-161790 · Sep 30, 2021 · national
Continuity (1)
Related Publication 20230099565A1 · Mar 30, 2023
References Cited (60)
US 7369691B2 · Kondo et al. · 2008 [cited by applicant]
US 10403039B2 · Kutra et al. · 2019 [cited by applicant]
US 11037672B2 · Nagata · 2021 [cited by applicant]
US 20090018533A1 · Perkins et al. · 2009 [cited by applicant]
US 20090227998A1 · Aljuri et al. · 2009 [cited by applicant]
US 20110184391A1 · Aljuri et al. · 2011 [cited by applicant]
US 20130253484A1 · Aljuri · 2013 [cited by applicant]
US 20130253488A1 · Aljuri et al. · 2013 [cited by applicant]
US 20130267889A1 · Aljuri et al. · 2013 [cited by applicant]
US 20150045777A1 · Aljuri et al. · 2015 [cited by applicant]
US 20150057646A1 · Aljuri et al. · 2015 [cited by applicant]
US 20150088107A1 · Aljuri et al. · 2015 [cited by applicant]
US 20150088110A1 · Aljuri et al. · 2015 [cited by applicant]
US 20150313666A1 · Aljuri et al. · 2015 [cited by applicant]
US 20150335344A1 · Aljuri et al. · 2015 [cited by applicant]
US 20160074059A1 · Aljuri et al. · 2016 [cited by applicant]
US 20160143778A1 · Aljuri et al. · 2016 [cited by applicant]
US 20160228141A1 · Aljuri · 2016 [cited by applicant]
US 20170172548A1 · Aljuri et al. · 2017 [cited by applicant]
US 20170172668A1 · Aljuri et al. · 2017 [cited by applicant]
US 20170231605A1 · Aljuri et al. · 2017 [cited by applicant]
US 20170231655A1 · Aljuri et al. · 2017 [cited by applicant]
US 20170232228A1 · Aljuri et al. · 2017 [cited by applicant]
US 20170232271A1 · Aljuri et al. · 2017 [cited by applicant]
US 20170232272A1 · Perkins et al. · 2017 [cited by applicant]
US 20170232273A1 · Aljuri et al. · 2017 [cited by applicant]
US 20170245878A1 · Aljuri et al. · 2017 [cited by applicant]
US 20180263647A1 · Aljuri et al. · 2018 [cited by applicant]
US 20190105023A1 · Aljuri et al. · 2019 [cited by applicant]
US 20190216485A1 · Aljuri et al. · 2019 [cited by applicant]
US 20190231426A1 · Aljuri et al. · 2019 [cited by applicant]
US 20190240505A1 · Aljuri et al. · 2019 [cited by applicant]
US 20190247071A1 · Aljuri · 2019 [cited by applicant]
US 20190380730A1 · Aljuri et al. · 2019 [cited by applicant]
US 20200323590A1 · Aljuri et al. · 2020 [cited by applicant]
US 20200330118A1 · Aljuri et al. · 2020 [cited by applicant]
US 20200375622A1 · Aljuri et al. · 2020 [cited by applicant]
US 20210128189A1 · Aljuri et al. · 2021 [cited by applicant]
US 20210251646A1 · Aljuri et al. · 2021 [cited by applicant]
US 20210251690A1 · Aljuri et al. · 2021 [cited by applicant]
US 20210282868A1 · Aljuri et al. · 2021 [cited by applicant]
US 20210307826A1 · Aljuri et al. · 2021 [cited by applicant]
US 20210308484A1 · Aljuri et al. · 2021 [cited by applicant]
US 20220071606A1 · Aljuri et al. · 2022 [cited by applicant]
US 20220079613A1 · Aljuri et al. · 2022 [cited by applicant]
US 20220096112A1 · Aljuri et al. · 2022 [cited by applicant]
EP 3432797 · 2021 [cited by applicant]
JP 2001283191 · 2001 [cited by applicant]
JP 2003339644 · 2003 [cited by applicant]
JP 2004283373 · 2004 [cited by applicant]
JP 2008173159 · 2008 [cited by applicant]
JP 2011224194 · 2011 [cited by applicant]
JP 2015509789 · 2015 [cited by applicant]
JP 2017202583 · 2017 [cited by applicant]
JP 2018504164 · 2018 [cited by applicant]
JP 2019510565 · 2019 [cited by applicant]
JP 2020120827 · 2020 [cited by applicant]
WO 2017034020 · 2017 [cited by applicant]
“Notice of Reasons for Refusal of Japan Counterpart Application”, issued on Feb. 4, 2025, with English translation thereof, p. 1-p. 7. [cited by applicant]
“Decision of Refusal of Japan Counterpart Application”, issued on May 27, 2025, with English translation thereof, p. 1-p. 5. [cited by applicant]