IP Library Granted Patent US 9,974,464
Granted Patent B2
US 9,974,464 · App. 14/937,178 · Granted May 22, 2018

Image processing apparatus and magnetic resonance imaging apparatus

Inventors: Taichiro Shiodera (Tokyo, JP); Shuhei Nitta (Tokyo, JP); Tomoyuki Takeguchi (Kanagawa, JP)
Assignee: TOSHIBA MEDICAL SYSTEMS CORPORATION
A61B5/055A61B5/0042A61B5/4064G01R33/56308G06F19/321G06T1/20G06T7/0016A61B5/031A61B5/742G01R33/546G06T2207/20224G06T2207/30016G06T2210/41
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Quick Facts
Patent No.
US 9,974,464
App. No.
14/937,178
Granted
May 22, 2018
Kind
B2
Abstract

An image processing apparatus according to an embodiment includes a processor and a memory. The memory stores processor-executable instructions that, when executed by the processor, cause the processor to: receive an input of information designating an observation target; extract, from each of magnetic resonance (MR) images included in an MR image group collected by applying a tagging pulse to a region where a fluid flows, a group of regions of the fluid; analyze, by an analyzing method associated with the observation target, the group of regions of the fluid extracted from each of the MR images, thereby deriving an index indicating a dynamic state of the fluid; and cause the index to be displayed on a display.

Claims (38)

1. An image processing apparatus comprising:

a processor; and

a memory that stores processor-executable instructions that, when executed by the processor, cause the processor to:

receive an input of information designating an observation target;

extract, from each of magnetic resonance(MR) images included in an MR image group collected by applying a tagging pulse to a region where a fluid flows, a group of spatial sub-regions of the fluid within the images;

analyze, by an analyzing method associated with the observation target, the group of spatial sub-regions extracted from each of the MR images, thereby deriving an index indicating a dynamic state of the fluid; and

cause the index to be displayed on a display.

2. The apparatus according to claim 1 , wherein

the processor-executable instructions further cause the processor to:

receive information on an anatomical region as the information designating the observation target and

analyze, by the analyzing method associated with the anatomical region, the group of spatial sub-regions of the fluid, to derive the index.

3. The apparatus according to claim 2 , wherein

the processor-executable instructions further cause the processor to:

cause a list of anatomical region names to be displayed on the display, and

receive a selection for the list.

4. The apparatus according to claim 1 , wherein the analyzing method includes a first analyzing method of tracking temporal displacement of one position in a spatial region of the fluid, thereby deriving an index indicating the dynamic state of the fluid for the position.

5. The apparatus according to claim 4 , wherein

the analyzing method further includes a second analyzing method of tracking temporal displacements of a plurality of positions in a spatial region of the fluid, thereby deriving an index indicating the dynamic state of the fluid for each of the plurality of positions, and the memory stores processor-executable instructions that, when executed by the processor, cause the processor to:

select the first analyzing method or the second analyzing method according to the observation target, to derive the index.

6. The apparatus according to claim 2 ,

wherein the processor-executable instructions further cause the processor to change a color of a spatial region designated as an observation target region on the MR images.

7. The apparatus according to claim 2 ,

wherein the processor-executable instructions further cause the processor to receive an input of information designating an observation target region that is the anatomical region.

8. The apparatus according to claim 7 ,

wherein the processor-executable instructions further cause the processor to designate fluid paths according as a transition of a position of a mark due to a moving operation by an operator.

9. A magnetic resonance imaging apparatus comprising:

an MRI system including a controller to execute a pulse sequence to apply a tagging pulse to a region where a cerebrospinal fluid flows, thereby acquiring a group of MR (Magnetic Resonance) images;

a processor; and

a memory that stores processor-executable instructions that, when executed by the processor, cause the processor to:

receive an input of information designating an observation target;

extract, from each of MR images included in the group of MR images, a group of spatial sub-regions of the cerebrospinal fluid within the images;

analyze, by an analyzing method associated with the observation target, the group of spatial sub-regions extracted from each of the MR images, thereby deriving an index indicating a dynamic state of the cerebrospinal fluid; and

cause the index to be displayed on a display.

10. An image processing method comprising:

receiving an input of information designating an observation target;

extracting, from each of magnetic resonance(MR) images included in an MR image group collected by applying a tagging pulse to a region where a fluid flows, a group of spatial sub-regions of the fluid within the images;

analyzing, by an analyzing method associated with the observation target, the group of spatial sub-regions extracted from each of the MR images, thereby deriving an index indicating a dynamic state of the fluid; and

causing the index to be displayed on a display.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 17, 2016
From: KABUSHIKI KAISHA TOSHIBA
To: TOSHIBA MEDICAL SYSTEMS CORPORATION
Reel/Frame 038008/0530 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 18, 2016
From: SHIODERA, TAICHIRO; NITTA, SHUHEI; TAKEGUCHI, TOMOYUKI
To: KABUSHIKI KAISHA TOSHIBA; TOSHIBA MEDICAL SYSTEMS CORPORATION
Reel/Frame 037763/0586 →
Priority Claims (1)
JP 2013-100699 · May 10, 2013 · national
Continuity (2)
Continuation PCTJP2014062522 · May 9, 2014
Related Publication 20160058319A1 · Mar 3, 2016