Movement correction in MRI using a camera

• US 9,545,217 B2
• Filed: 04/17/2009
• Issued: 01/17/2017
• Est. Priority Date: 04/17/2008
• Status: Expired due to Fees

• Current Assignee: United States Secretary of Health and Human Services is the head of the United States Department of Health and Human Services
• Original Assignee: United States Department Of Health And Human Services
• Inventors: Duyn, Jeff, Qin, Lei
• Primary Examiner(s): Fernandez, Katherine
• Assistant Examiner(s): KELLOGG, MICHAEL S
• Application Number:
  US12/937,852
• Publication Number:
  US 20110201916A1
• Time in Patent Office: 2,832 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A61B 5/05 Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves impedance plethysmography A61B5/0295; measuring movement of the entire body or parts thereof A61B5/11; detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof A61B5/24
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: G01R 33/283 Intercom or optical viewing arrangements, structurally associated with NMR apparatus
• CPC Class Codes: G01R 33/4808 Multimodal MR, e.g. MR combined with positron emission tomography [PET], MR combined with ultrasound or MR combined with computed tomography [CT]
• CPC Class Codes: G01R 33/543 Control of the operation of the MR system, e.g. setting of acquisition parameters prior to or during MR data acquisition, dynamic shimming, use of one or more scout images for scan plane prescription G01R33/546 takes precedence
• CPC Class Codes: G01R 33/56509 due to motion, displacement or flow, e.g. gradient moment nulling G01R33/567 takes precedence
• CPC Class Codes: G06T 3/14 Transformations for image registration, e.g. adjusting or mapping for alignment of images

Abstract

Provided are methods and systems for movement correction in an MRI environment. In one aspect, provided are systems and methods for movement correction, comprising receiving a first plurality of images from a first scan of a subject with a first camera, receiving magnetic resonance imaging (MRI) images obtained concurrently with the first scan, correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data, and providing the motion correction data to an MRI system, wherein the MRI system adjusts scanning according to the motion correction data.

Claims

1. A method for motion correction in a magnetic resonance imaging (MRI) system, comprising:

generating a training scan, comprising the steps of;

receiving a plurality of training camera images from a training scan of a subject or a portion thereof obtained by a camera;

receiving a plurality of training MRI images of the subject or portion thereof obtained by an MRI device, the plurality of training MRI images being obtained concurrently with the plurality of training camera images, wherein each one of the plurality of training camera images corresponds to a respective one of the plurality of training MRI images as a function of time;

using a processor to perform the steps of;

extracting one or more training image features from each of the plurality of training camera images;

using an image registration algorithm to derive motion parameters from the plurality of training MRI images, the motion parameters being parameters in a three-dimensional MRI coordinate system; and

generating a translation table in which each entry in the translation table assigns to each of the plurality of training camera images the motion parameters derived from each corresponding concurrent training MRI image of the plurality of training MRI images;

generating a testing scan using the processor to perform the steps of;

receiving a plurality of testing camera images of the subject or portion thereof obtained with the camera;

extracting one or more testing image features of the subject or a portion thereof from the testing camera images;

comparing the testing camera images with the training camera images to find the most similar images between the training camera images and the testing camera images, wherein the position of each testing image feature on the subject or portion thereof corresponds to a training image feature, and

calculating the distance between the one or more testing image features and the corresponding one or more training image features to find the minimum distance between the one or more testing image features and the one or more training image features, wherein the one or more testing image features and the one or more training image features are locations in a physical space, wherein the summation of distance between the one or more training and testing image features in the physical space indicates the similarity thereof; and

receiving a plurality of testing MRI images obtained by the MRI device, the plurality of testing MRI images being obtained concurrently with the plurality of testing camera images, wherein each testing camera image corresponds to a testing MRI image as a function of time; and

applying a motion correction to the plurality of testing MRI images by providing the data from translation table to the MRI system, wherein the MRI device adjusts MRI scanning parameters comprising gradient rotation and offset phases and frequencies in the MRI scanner sequence in real-time according to motion parameters in the translation table that are assigned to the training camera image that is most similar to the testing camera image to account for motion of the subject or portion thereof during the testing scan.

2. The method of claim 1, wherein the MRI device adjusts MRI scanning parameters comprising gradient rotation and offset phases and frequencies in an MRI scanner sequence in real-time according to the motion parameters in the translation table that are assigned to the training camera image that is most similar to the testing camera image to account for motion of the subject or portion thereof during the testing scan.