IP Library Granted Patent US 10,019,798
Granted Patent B2
US 10,019,798 · App. 15/309,911 · Granted Jul 10, 2018

Image processing apparatus and reconstruction condition setting method

Inventor: Hiroaki Ninomiya (Tokyo, JP)
Assignee: Hitachi, Ltd.
G06T7/0012A61B6/032A61B6/5205G06T11/003G06T2207/10081
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 10,019,798
App. No.
15/309,911
Granted
Jul 10, 2018
Kind
B2
Abstract

An image processing apparatus includes a control unit that reconstructs images by using raw data, a storage unit that stores the raw data, the images, and reconstruction conditions used when the images are reconstructed, in correlation with each other, a display unit; and an input unit that inputs selection of an image on which post-reconstruction will be performed among the images stored in the storage unit and post-reconstruction conditions, by referring to the image displayed on the display unit, in which the control unit receives selection of the image which is input via the input unit, reads selected image reconstruction conditions based on the received selection of the image from the storage unit, calculates comparison information of image quality on the basis of the read reconstruction conditions and post-reconstruction conditions input via the input unit, and displays the calculated comparison information on the display unit.

Claims (32)

1. An image processing apparatus comprising:

a control unit that reconstructs images by using raw data measured by a medical imaging apparatus;

a storage unit that stores the raw data, the images, and reconstruction conditions used when the images are reconstructed, in correlation with each other;

a display unit that displays an image read from the storage unit; and

an input unit that inputs selection of an image on which a post-reconstruction process will be performed among the images stored in the storage unit and post-reconstruction conditions, by referring to the image displayed on the display unit,

wherein the control unit receives selection of the image which is input via the input unit, reads the selected image reconstruction conditions from the storage unit, calculates comparison information of image quality obtained in a case where an image is reconstructed with each condition on the basis of the read reconstruction conditions and post-reconstruction conditions input via the input unit, and displays the calculated comparison information on the display unit.

2. The image processing apparatus according to claim 1 ,

wherein the control unit applies the post-reconstruction conditions to a representative image among selected images so as to perform the post-reconstruction process and to generate a preview image, and displays the preview image on the display unit along with the comparison information.

3. The image processing apparatus according to claim 2 ,

wherein the control unit uses, as the representative image, an image at a body axis direction position corresponding to the center of a part or an image at a body axis direction position including a feature point where a structure changes.

4. The image processing apparatus according to claim 1 ,

wherein the control unit calculates the comparison information on the basis of a value of at least one of a modulation transfer function of a reconstruction filter function and each parameter included in the reconstruction conditions or the post-reconstruction conditions.

5. The image processing apparatus according to claim 1 ,

wherein the control unit completes calculation of the comparison information before performing the post-reconstruction process on all sliced images included in the selected images.

6. The image processing apparatus according to claim 1 ,

wherein the control unit applies the post-reconstruction conditions to a representative image among selected images so as to perform the post-reconstruction process and to generate a preview image based on the representative image subjected to the post-reconstruction process, and performs the post-reconstruction process on sliced images other than the representative image in parallel to calculation and display of the comparison information after generating the preview image.

7. The image processing apparatus according to claim 6 ,

wherein, in a case where post-reconstruction conditions which are different from the post-reconstruction conditions are input or an instruction for stopping the post-reconstruction process on sliced images other than the representative image is input via the input unit, the control unit regards the input as an instruction for stopping the currently performed post-reconstruction process, and, in a case where the different post-reconstruction conditions are input, the control unit calculates comparison information between the received different post-reconstruction conditions and the reconstruction conditions.

8. An image processing apparatus comprising:

a control unit that reconstructs images by using raw data measured by a medical imaging apparatus;

a storage unit that stores the raw data, the images, and reconstruction conditions used when the images are reconstructed, in correlation with each other;

a display unit that displays an image read from the storage unit; and

an input unit that inputs selection of an image on which a post-reconstruction process will be performed among the images stored in the storage unit and post-reconstruction conditions, by referring to the image displayed on the display unit,

wherein the control unit receives selection via the input unit of an original image which was constructed using the raw data and reconstruction conditions, reads the selected original image reconstruction conditions from the storage unit, calculates comparison information of image quality between the original image and an output scheduled image reconstructed using a same said raw data and a changing of the reconstruction conditions to the post-reconstruction conditions input via the input unit, and displays the calculated comparison information on the display unit.

9. A reconstruction condition setting method comprising:

reconstructing images by using raw data measured by a medical imaging apparatus;

storing the raw data, the images, and reconstruction conditions used when the images are reconstructed, in correlation with each other in the storage unit;

selecting an image on which a post-reconstruction process will be performed among the images stored in the storage unit;

inputting post-reconstruction conditions;

acquiring selected image reconstruction conditions from the storage unit;

calculating comparison information of image quality obtained in a case where an image is reconstructed with each condition on the basis of the acquired reconstruction conditions and the input post-reconstruction conditions; and

displaying the calculated comparison information.

Assignments (6)
MERGER Recorded Jan 10, 2025
From: FUJIFILM HEALTHCARE CORPORATION
To: FUJIFILM CORPORATION
Reel/Frame 069869/0833 →
MERGER Recorded Oct 11, 2024
From: FUJIFILM HEALTHCARE CORPORATION
To: FUJIFILM CORPORATION
Reel/Frame 070608/0001 →
CORRECTIVE ASSIGNMENT TO CORRECT THE THE PROPERTY AND APPLICATION NUMBERS PREVIOUSLY RECORDED AT REEL: 058026 FRAME: 0559. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jan 31, 2022
From: HITACHI LTD.
To: FUJIFILM HEALTHCARE CORPORATION
Reel/Frame 058917/0853 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 4, 2021
From: HITACHI, LTD.
To: FUJIFILM HEALTHCARE CORPORATION
Reel/Frame 058026/0559 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 23, 2018
From: NINOMIYA, HIROAKI
To: HITACHI MEDICAL CORPORATION
Reel/Frame 045883/0758 →
MERGER Recorded May 23, 2018
From: HITACHI MEDICAL CORPORATION
To: HITACHI, LTD.
Reel/Frame 046223/0746 →
Priority Claims (1)
JP 2014-116456 · Jun 5, 2014 · national
Continuity (1)
Related Publication 20170148157A1 · May 25, 2017