US 11,717,183 B2
Method and device for automatic identification of measurement item and ultrasound imaging apparatus
Yaoxian Zou, Shenzhen (CN); Bin Yao, Shenzhen (CN); Yi Wei, Shenzhen (CN); Muqing Lin, Shenzhen (CN); and Zuoqi Zeng, Shenzhen (CN)
Assigned to Shenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen (CN)
Filed by SHENZHEN MINDRAY BIO-MEDICAL ELECTRONICS CO., LTD., Shenzhen (CN)
Filed on Jan. 8, 2021, as Appl. No. 17/144,786.
Application 17/144,786 is a continuation of application No. 15/271,095, filed on Sep. 20, 2016, granted, now 10,898,109.
Application 15/271,095 is a continuation of application No. PCT/CN2014/073777, filed on Mar. 20, 2014.
Prior Publication US 2021/0128020 A1, May 6, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/107 (2006.01); A61B 8/08 (2006.01); A61B 8/00 (2006.01); A61B 5/00 (2006.01); G06T 7/00 (2017.01); G06T 7/60 (2017.01)
CPC A61B 5/1075 (2013.01) [A61B 5/7267 (2013.01); A61B 8/08 (2013.01); A61B 8/0866 (2013.01); A61B 8/0875 (2013.01); A61B 8/4461 (2013.01); A61B 8/469 (2013.01); A61B 8/5223 (2013.01); G06T 7/0012 (2013.01); G06T 7/60 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method for automatic identification of a measurement item, comprising:
acquiring gray values of pixels of a specified section image, wherein the gray values of the pixels correspond to ultrasound echoes generated by reflection of ultrasound waves by a tissue under examination;
automatically determining a section type of the specified section image based on one or more characteristics defined by the gray values of the pixels, the section type identifying a particular section of a particular area of the tissue from which the specified section image was acquired, wherein the determined section type is a head circumference section which contains a skull of a fetus, an abdominal circumference section which contains an abdomen of a fetus or a femur section which contains a thigh bone of a fetus;
obtaining a correspondence between the section type and one or more measurement items which are measurable in an image of the section type;
automatically identifying at least one measurement item which is measurable in the specified section image according to the correspondence and the section type of the specified section image; and
obtaining a value of the identified at least one measurement item according to the specified section image.