System and method for data driven gating of multiple bed positions

Patent metadata

Field	Value
Publication number	US-2016247274-A1
Application number	US-201514626976-A
Country	US
Kind code	A1
Filing date	Feb 20, 2015
Priority date	Feb 20, 2015
Publication date	Aug 25, 2016
Grant date	—

Abstract

A method implemented using at least one processor includes receiving time-varying image dataset generated by a medical imaging modality. The image dataset corresponds to a bed position and is affected by quasi-periodic motion data. The method also includes applying a signal decomposition technique to the time-varying image dataset to generate a plurality of dataset components and a plurality of motion signals. The method also includes determining reference data based on the time-varying image dataset, wherein the reference data is representative of a direction of the quasi-periodic motion. The method further includes deriving polarity of each of the plurality of motion signals based on the reference data to generate a plurality of sign corrected motion signals. The method also includes determining a gating signal corresponding to the bed position based on at least one of the plurality of sign corrected motion signals.

First claim

1 . A method, comprising:
receiving a time-varying image dataset corresponding to a bed position, wherein the time-varying image dataset is generated by a medical imaging modality and affected by a quasi-periodic motion data; applying a signal decomposition technique to the time-varying image dataset to generate a transformed dataset, wherein the transformed dataset comprises a plurality of dataset components and a plurality of motion signals; determining a mean image based on the time-varying image dataset; determining a first shifted image by shifting the mean image in a first direction and a second shifted image by shifting the mean image in a second direction opposite to the first direction; determining a reference data based on a difference of the first shifted image and the second shifted image; deriving a polarity of each of the plurality of motion signals based on the reference data and the plurality of dataset components to generate a plurality of sign corrected motion signals; and determining a gating signal corresponding to the bed position based on at least one of the plurality of sign corrected motion signals.

2 . The method of claim 1 , wherein determining the gating signal comprises generating a plurality of gating signals corresponding to a plurality of image data sets acquired from a plurality of bed positions.

3 . The method of claim 2 , further comprising:
identifying an overlapping region between a first bed position and a second bed position among the plurality of bed positions; selecting a first dataset corresponding to the first bed position and a second dataset corresponding to the second bed position in the overlapping region; and deriving a polarity of the gating signals corresponding to the first bed position and the second bed position based on a correlation between the first dataset and the second dataset.

4 . The method of claim 3 , further comprising:
generating a plurality of gated image datasets based on the plurality of image datasets and corresponding plurality of gating signals; and generating a combined dataset based on the plurality of gated image datasets corresponding to the plurality of bed positions.

5 . The method of claim 1 , wherein determining the gating signal comprises:
determining a first gating signal for a first time-varying image dataset corresponding to a first medical imaging modality and a second gating signal for a second time-varying image dataset corresponding to a second imaging modality; and phase matching the first gating signal and the second gating signal based on a cross correlation of the plurality of motion signals corresponding to the first time-varying image dataset and the second time-varying image dataset.

6 . The method of claim 1 , wherein the motion data comprises at least one of a respiratory motion and a cardiac motion.

7 . The method of claim 1 , wherein applying the signal decomposition technique comprises:
performing a principal component analysis of the time-varying image dataset to generate a plurality of principal components; and projecting the time-varying image dataset on to the plurality of principal components of the image dataset to determine the plurality of motion signals.

8 . (canceled)

9 . The method of claim 1 , wherein the deriving the polarity comprises:
determining a correlation value based on a cross correlation of the reference data with a dataset component among the plurality of dataset components; and determining the polarity based on a sign of the correlation value.

10 . A system, comprising:
at least one processor module and a memory module communicatively coupled to a communications bus; a pre-processor module that receives a time-varying image dataset corresponding to a bed position, wherein the time-varying image dataset is generated by a medical imaging modality and affected by a quasi-periodic motion data; a motion signal generator module, communicatively coupled to the pre-processor module, that performs signal decomposition of the time-varying image dataset and generates a transformed dataset, wherein the transformed dataset comprises a plurality of dataset components and a plurality of motion signals; a motion signal analysis module, communicatively coupled to the motion signal generator module, that:
determines a mean image based on the time-varying image dataset;
determines a first shifted image by shifting the mean image in a first direction and a second shifted image by shifting the mean image in a second direction opposite to the first direction;
determines a reference data based on a difference of the first shifted image and the second shifted image;
derives a polarity of each of the plurality of motion signals based on the reference data and the plurality of dataset components to generate a plurality of sign corrected motion signals; and
determines a gating signal corresponding to the bed position based on the at least one of the plurality of sign corrected motion signals;
wherein, at least one of the pre-processing module, the motion signal generator module, and the motion signal analysis module are stored in the memory module and executable by the processor module.

11 . The system of claim 10 , wherein the motion signal analysis module further generates a plurality of gating signals corresponding to a plurality of bed positions.

12 . The system of claim 11 , wherein the motion signal analysis module further:
identifies an overlapping region between a first bed position and a second bed position among the plurality of bed positions; selects a first dataset corresponding to the first bed position and a second dataset corresponding to the second bed position in the overlapping region; and derives a polarity of the gating signal corresponding to the first bed position and the second bed position based on a correlation between the first dataset and the second dataset.

13 . The system of claim 12 , wherein the motion signal analysis module further:
generates a plurality of gated image datasets based on the plurality of image datasets and corresponding the plurality of gating signals; and generates a combined dataset based on the plurality of gated image datasets corresponding to the plurality of bed positions.

14 . The system of claim 11 , wherein the motion signal analysis module:
determines a first gating signal for a first time-varying image dataset corresponding to a first medical imaging modality and a second gating signal for a second time-varying image dataset corresponding to a second imaging modality; and performs phase matching of the first gating signal and the second gating signal based on a cross correlation of the plurality of motion signals corresponding to the first time-varying image dataset and the second time-varying image dataset.

15 . The system of claim 11 , wherein the motion signal analysis module:
determines a plurality of principal components of the time-varying image dataset; and projects the time-varying image dataset on to the plurality of principal components to determine the plurality of motion signals.

16 . (canceled)

17 . The system of claim 11 , wherein the motion signal analysis module:
determines a correlation value based on cross correlation of the reference data with a dataset component among the plurality of dataset components; and determines the polarity based on a sign of the correlation value.

18 . A non-transitory computer readable medium having instructions causing at least one processor module to:
receive time-varying image d

Assignees

• Gen Electric
• King S College London

Inventors

• Thiruvenkadam Sheshadri
• Shriram Krishna Seetharam
• Manjeshwar Ravindra Mohan
• Viswanathan Srikrishnan
• Thielemans Kris Filip Johan Jules

Classifications

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• G06T7/262

  using transform domain methods, e.g. Fourier domain methods · CPC title

• G06T7/0012 Primary

  Biomedical image inspection · CPC title

• A61B6/5288

  involving retrospective matching to a physiological signal · CPC title

• G06T7/20

  Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) · CPC title