Image processing system and method for controlling gains for color flow images

• US 7,738,685 B2
• Filed: 12/05/2006
• Issued: 06/15/2010
• Est. Priority Date: 12/06/2005
• Status: Active Grant

• Current Assignee: Medison Co., Ltd. (Samsung Group)
• Original Assignee: Medison Co., Ltd. (Samsung Group)
• Inventors: Kim, Hye Jung, Hyun, Dong Gyu
• Primary Examiner(s): Azarian; Seyed
• Application Number:
  US11/566,977
• Publication Number:
  US 20070167795A1
• Time in Patent Office: 1,288 Days
• Field of Search: 382/100, 382/128, 382/129, 382/130, 382/131, 382/132, 382/133, 382/134, 382/162, 382/163, 382/164, 382/165, 382/166, 382/167, 382/194, 382/199, 382/232, 382/254, 382/256, 382/257, 382/274, 382/276, 382/291, 382/293, 382/305, 382/312, 600/543, 600/443, 600/441, 600/454, 600/463
• US Class Current: 382/128
• CPC Class Codes: G01S 15/8979 Combined Doppler and pulse-echo imaging systems
• CPC Class Codes: G01S 7/52033 Gain control of receivers for seismic signals G01V1/245
• CPC Class Codes: G06T 2207/10132 Ultrasound image
• CPC Class Codes: G06T 2207/20012 Locally adaptive
• CPC Class Codes: G06T 2207/20036 Morphological image processing
• CPC Class Codes: G06T 2207/20132 Image cropping
• CPC Class Codes: G06T 2207/20156 Automatic seed setting
• CPC Class Codes: G06T 2207/30104 Vascular flow; Blood flow; Perfusion
• CPC Class Codes: G06T 7/12 Edge-based segmentation
• CPC Class Codes: G06T 7/155 involving morphological operators
• CPC Class Codes: G06T 7/181 involving edge growing; involving edge linking
• CPC Class Codes: G06T 7/187 involving region growing; involving region merging; involving connected component labelling

Abstract

There is provided an image processing system, which includes: an image forming unit for forming a number of color flow images based on input image signals; a reference image selecting unit for selecting a reference image for gain control among the color flow images; a gain control value calculating unit for calculating a gain control value based on the reference image; and a gain control unit for controlling gains for the color flow images based on the gain control value.

Claims

1. An image processing system, comprising:

an image forming unit for forming a number of color flow images based on input image signals;

a reference image selecting unit for selecting a reference image for gain control among the color flow images;

a gain control value calculating unit for calculating a gain control value based on the reference image; and

a gain control unit for controlling gains for the color flow images based on the gain control value,

wherein the gain control value calculating unit forms a contour of a blood vessel by the following steps;

extracting edge data from the reference image;

performing morphological operations on the edge data;

performing a connected-component labeling operation;

detecting a seed point in the edge data;

extracting blood vessel edge data from the edge data based on the seed point; and

forming the contour of the blood vessel based on the blood vessel edge data.

2. The image processing system of claim 1, wherein the input image signals are ultrasound image signals.

3. The image processing system of claim 1, wherein the reference image is a color flow image showing blood flow in a blood vessel at a maximum velocity.

4. The image processing system of claim 3, wherein the gain control value calculating unit calculates cross-sectional areas of the blood vessel and the blood flow in the reference image, the gain control value calculating unit further being configured to calculate the gain control value based on the cross-sectional areas of the blood vessel and the blood flow.

5. The image processing system of claim 4, wherein the gain control value calculating unit forms a contour of the blood vessel in the reference image to calculate the cross-sectional area of the blood vessel.

6. The image processing system of claim 4, wherein the gain control value calculating unit detects pixels having pixel values equal to or greater than 1 among pixels showing the blood flow in the reference image to calculate the cross-sectional area of the blood flow.

7. A method of processing an image, comprising:

a) forming a number of color flow images based on input image signals;

b) selecting a reference image for gain control among the color flow images;

c) calculating a gain control value based on the reference image; and

d) controlling gains for the color flow images based on the gain control value,

wherein the step c) includes;

c111) extracting edge data from the reference image;

c112) performing morphological operations on the edge data;

c113) performing a connected-component labeling operation;

c114) detecting a seed point in the edge data;

c115) extracting blood vessel edge data from the edge data based on the seed point; and

c116) forming the contour of the blood vessel based on the blood vessel edge data.

8. The method of claim 7, wherein the input image signals are ultrasound image signals.

9. The method of claim 7, wherein the reference image is a color flow image showing blood flow in a blood vessel at a maximum velocity.

10. The method of claim 9, wherein the step c) includes:

c1) calculating a cross-sectional area of the blood vessel in the reference image;

c2) calculating a cross-sectional area of the blood flow in the reference image; and

c3) calculating the gain control value based on the cross-sectional areas of the blood vessel and the blood flow.

11. The method of claim 10, wherein the step c1) includes:

c11) forming a contour of the blood vessel in the reference image; and

c12) calculating the cross-sectional area of the blood vessel based on the contour of the blood vessel.

12. The method of claim 10, wherein the step c2) includes:

c21) analyzing pixels showing the blood flow in the reference image;

c22) detecting pixels having pixel values equal to or greater than 1 among pixels showing the blood flow in the reference image; and

c23) calculating the cross-sectional area of the blood based on the detected pixels.

13. The method of claim 10, wherein the step c3) includes:

c31) calculating a cross-sectional area ratio based on the cross-sectional areas of the blood vessel and the blood flow;

c32) checking whether the cross-sectional area ratio is equal to or smaller than 1;

c33) if it is determined that the cross-sectional area ratio is equal to or smaller than 1, calculating a gain increment serving as the gain control value based on the cross-sectional area ratio and increasing gains for the color flow images based on the calculated gain increment; and

c34) if it is determined that the cross-sectional area ratio is larger than 1, calculating a gain decrement serving as the gain control value based on the cross-sectional area ratio and decreasing gains for the color flow image based on the calculated gain decrement.