Invention Grant
- Patent Title: Inferring body position in a scan
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Application No.: US15220932Application Date: 2016-07-27
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Publication No.: US10169647B2Publication Date: 2019-01-01
- Inventor: Yaniv Gur , Mehdi Moradi , Tanveer F. Syeda-Mahmood , Hongzhi Wang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Schmeiser, Olsen & Watts, LLP
- Agent Dan Johnson
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06K9/46

Abstract:
A method and system for automatically inferring a subject's body position in a two-dimensional image produced by a medical-imaging system are disclosed. The image is labeled with a body position selected from a semantically meaningful set of candidate positions sequenced in order of their relative locations in a subject's body. A processor performs procedures that each identify a class of image features related to pixel intensity, such as a histogram of gradients, local binary patterns, or Haar-like features. A second set of procedures employs applications of a pretrained convolutional neural network that has learned to recognize features of a specific class of medical images. The results of both types of procedures are then mapped by a pretrained support-vector machine onto candidate image labels, which are mathematically combined into a single, semantically meaningful, label most likely to identify a body position of the subject shown by the image.
Public/Granted literature
- US20180032801A1 INFERRING BODY POSITION IN A SCAN Public/Granted day:2018-02-01
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