Tomographic image processing apparatus and method

Patent metadata

Field	Value
Publication number	US-11610347-B2
Application number	US-201816636130-A
Country	US
Kind code	B2
Filing date	Aug 2, 2018
Priority date	Aug 3, 2017
Publication date	Mar 21, 2023
Grant date	Mar 21, 2023

Abstract

A computed tomography (CT) image processing apparatus and a CT image processing method are provided. The CT image processing apparatus may generate a virtual monochromatic image (VMI) by applying a weight to each of first, second, and third images corresponding to three different energy ranges. The CT image processing apparatus may set a region of interest (ROI) on a CT image, determine a VMI at an energy level at which a CNR of the ROI is at a maximum among a plurality of VMIs, and display the determined VMI.

First claim

What is claimed is:

1. A computed tomography (CT) image processing apparatus for processing a CT image of an object, the CT image processing apparatus comprising:
a detector configured to detect X-rays having different energy spectra transmitted through the object and obtain raw data in each of energy ranges of the X-rays, through the detected X-rays;
a processor configured to:
generate a CT image by using the raw data obtained in each of the energy ranges of the X-rays,
set a region of interest (ROI) on the CT image based on a user input,
generate a plurality of virtual monochromatic images (VMIs) respectively corresponding to a plurality of energy levels by reconstructing the CT image according to calculation of a weighted average which is applied based on the raw data obtained in each of the energy ranges of the X-rays,
measure a contrast-to-noise ratio (CNR) of the ROI, and
determine a VMI at an energy level at which the measured CNR is at a maximum among the plurality of energy levels of the plurality of VMIs; and

a display configured to display the determined VMI.

2. The CT image processing apparatus of claim 1 , further comprising a user input unit configured to receive information about a type of a contrast agent from a user,
wherein the processor is configured to measure a concentration of the contrast agent injected into the object in the ROI and determine the energy level at which the CNR is maximum based on the type of the contrast agent input through the user input unit and a relationship between the concentration of the contrast agent and the CNR.

3. The CT image processing apparatus of claim 2 , further comprising
a memory storing, in a look-up table (LUT), information about the relationship between the energy level and the CNR according to the type and the concentration of the contrast agent,
wherein the processor is further configured to determine the VMI of the energy level at which the CNR is at a maximum according to the concentration of the contrast agent determined in the ROI and the type of the contrast agent, with reference to the LUT stored in the memory.

4. The CT image processing apparatus of claim 1 , wherein the processor is further configured to measure a size of the object in the CT image and, based on the measured size of the object, determine the VMI of the energy level at which the CNR is at a maximum.

5. The CT image processing apparatus of claim 4 , further comprising a memory storing, in a look-up table (LUT), information about a relationship between the energy level and the CNR, according to the size of the object,
wherein the processor is further configured to determine a VMI of the energy level at which the CNR is at a maximum according to the measured size of the object, with reference to the LUT stored in the memory.

6. The CT image processing apparatus of claim 4 , wherein the processor is further configured to measure the size of the object through sizes of various phantoms having diameters of different sizes.

7. The CT image processing apparatus of claim 1 , further comprising a memory storing information about the energy level at which the CNR is at a maximum, according to information of a patient,
wherein the processor is further configured to obtain identification information of the patient who is a target of CT photographing and, based on the information about the energy level stored in the memory, determine the VMI of the energy level at which the CNR is at a maximum according to the identification information of the patient.

8. A method of operating a computed tomography (CT) image processing apparatus, the method comprising:
detecting X-rays having different energy spectra transmitted through the object and obtaining raw data in each of energy ranges through the detected X-rays;
setting a region of interest (ROI) on the CT image based on a user input;
generating a plurality of virtual monochromatic images (VMIs) respectively corresponding to a plurality of energy levels by reconstructing the CT image according to calculation of a weighted average which is applied based on the raw data obtained in each of the energy ranges of the X-ray;
determining a contrast-to-noise ratio (CNR) of the ROI on the plurality of VMIs and determining a VMI at an energy level at which the determined CNR is at a maximum among the plurality of energy levels of the plurality of VMIs; and
displaying the determined VMI.

9. The method of claim 8 , wherein the determining of the VMI comprises:
measuring a concentration of a contrast agent injected into the object in the ROI;
receiving information about a type of the contrast agent from a user; and
determining the energy level at which the CNR is at a maximum based on the type of the contrast agent and a relationship between the concentration of the contrast agent and the CNR.

10. The method of claim 9 , wherein the CT image processing apparatus stores, in a look-up table (LUT), information about the relationship between the energy level and the CNR according to the type and the concentration of the contrast agent,
wherein the determining of the VMI comprises determining a VMI at the energy level at which the CNR is at a maximum according to the concentration of the contrast agent determined in the ROI and the type of the contrast agent, with reference to the LUT stored in the CT image processing apparatus.

11. The method of claim 8 , further comprising measuring a size of the object in the CT image,
wherein the determining of the VMI comprises determining the VMI at the energy level at which the CNR is at a maximum based on the measured size of the object.

12. The method of claim 11 , wherein the CT image processing apparatus stores, in a look-up table (LUT), information about a relationship between the energy level and the CNR according to the size of the object,
wherein the determining of the VMI comprises determining the VMI of the energy level at which the CNR is at a maximum according to the measured size of the object, with reference to the previously stored LUT.

13. The method of claim 11 , wherein the measuring of the size of the object comprises measuring the size of the object through sizes of various phantoms having diameters of different sizes.

14. The method of claim 8 , the CT image processing apparatus stores information about the energy level at which the CNR is at a maximum according to information of a patient,
wherein the determining of the VMI comprises:
obtaining identification information of the patient who is a target of CT photographing; and
based on the information about the energy level stored in the memory, determining the VMI at the energy level at which the CNR is at a maximum according to the identification information of the patient.

15. A computer program product comprising a non-transitory computer readable storage medium, wherein the non-transitory computer readable storage medium comprises instructions to perform:
detecting X-rays having different energy spectra transmitted through the object and obtaining raw data in each of energy ranges through the detected X-rays;
setting a region of interest (ROI) on the CT image based on a user input;
generating a plurality of virtual monochromatic images (VMIs) respectively corresponding to a plurality of energy levels by reconstructing the CT image according to calculation of a weighted average which is applied based on the raw data obtained in each of the energy ranges of the X-ray;
determining a contrast-to-noise ratio (CNR) of the ROI on the plurality of VMIs and determining a VMI at an energy level at which the determined C

Assignees

• Samsung Electronics Co Ltd

Inventors

• Lee Chang-Lae
• Lee Duhgoon
• Lee Seung-Wan
• Jang Woo-Young
• Jung Jin-Wook
• Lee Kyoung-Yong

Classifications

• G06T12/30 Primary

  Image post-processing, e.g. metal artefact correction · CPC title

• A61B6/469

  for selecting a region of interest [ROI] · CPC title

• G06T2207/20104

  Interactive definition of region of interest [ROI] · CPC title

• A61B6/5294

  involving using additional data, e.g. patient information, image labeling, acquisition parameters · CPC title

• G06T2211/408

  Dual energy · CPC title