METHOD FOR AUTOMATIC CALIBRATION OF MOTION DETECTION TECHNIQUES IN MEDICAL IMAGING SYSTEMS

• US 20150253409A1
• Filed: 03/05/2015
• Published: 09/10/2015
• Est. Priority Date: 03/05/2014
• Status: Active Grant

• Current Assignee: Siemens Healthineers AG (Siemens AG)
• Original Assignee: Siemens AG
• Inventors: FEIWEIER, THORSTEN, KOBER, TOBIAS, KRUEGER, GUNNAR
• Granted Patent: US 9,952,303 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• 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: G01P 21/00 Testing or calibrating of apparatus or devices covered by the preceding groups
• CPC Class Codes: G01R 33/307 specially adapted for moving the sample relative to the MR system, e.g. spinning mechanisms, flow cells or means for positioning the sample inside a spectrometer
• CPC Class Codes: G01R 33/5608 Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels image data processing or generation, in general G06T
• CPC Class Codes: G01R 33/5616 using gradient refocusing, e.g. EPI
• CPC Class Codes: G01R 33/56308 Characterization of motion or flow; Dynamic imaging
• CPC Class Codes: G01R 33/56509 due to motion, displacement or flow, e.g. gradient moment nulling G01R33/567 takes precedence
• CPC Class Codes: G01R 33/5673 Gating or triggering based on a physiological signal other than an MR signal, e.g. ECG gating or motion monitoring using optical systems for monitoring the motion of a fiducial marker
• CPC Class Codes: G01R 33/5676 Gating or triggering based on an MR signal, e.g. involving one or more navigator echoes for motion monitoring and correction

Abstract

A motion detection system detects object motion in a medical imaging system. The computer-implemented calibration method includes an automatic calibration process for determining a motion threshold for the object motion detection system, while the object is positioned for imaging by the medical imaging system. The calibration process includes: repeatedly acquiring motion detection data and repeatedly acquiring motion quantification data with a motion quantification system. The motion quantification data are analyzed to determine whether the object was mobile or immobile. If the object was immobile, an object motion threshold for the motion detection system is determined by statistical analysis of the motion detection data. If the object was mobile, the detection and quantification data are correlated for determining an object motion threshold for the motion detection system, the threshold being determined from motion detection data correlated to motion quantification data characterizing an object motion within a predefined tolerance value.

Claims

1. A computer-implemented method for calibrating a motion detection system configured to carry out a motion detection technique for detecting a motion of an object during medical imaging in a medical imaging system, the computer-implemented method comprising:

with an object placed in the medical imaging system in a position suitable for imaging by the imaging system, performing an automatic calibration process for determining at least one motion threshold for the object motion detection system;

the automatic calibration process including;

a. carrying out the motion detection technique with the motion detection system by repeatedly acquiring motion detection data enabling object motion detection and carrying out a motion quantification technique with a motion quantification system by repeatedly acquiring motion quantification data enabling object motion quantification;

b. analyzing the motion quantification data for determining whether or not the object was mobile or immobile; and

i. if the object was immobile, using the motion detection data for determining an object motion threshold for the motion detection system, the object motion threshold being determined by statistical analysis of the motion detection data;

ii. if the object was mobile, correlating the motion quantification data with the motion detection data for determining an object motion threshold for the motion detection system, the object motion threshold being determined from the motion detection data correlated with the motion quantification data characterizing an object motion that remains within a predefined tolerance value.

2. The computer-implemented method according to claim 1, which comprises carrying out the calibration process before starting a diagnostic measurement.

3. The computer-implemented method according to claim 1, which comprises acquiring the motion detection data and the motion quantification data simultaneously or in alternation.

4. The computer-implemented method according to claim 1, which comprises determining the object motion threshold by calculating a mean value m and/or a standard deviation stdev of the motion detection data.

5. The computer-implemented method according to claim 4, wherein the object motion threshold is equal to m+/−

N·

stdev, with N≧

0.

6. The computer-implemented method according to claim 1, which comprises setting the predefined tolerance value to a specific number of pixels.

7. The computer-implemented method according to claim 1, which comprises, if the object was mobile, using the motion quantification data for extracting a subset of data from the motion detection data, wherein the subset of data includes only motion detection data acquired for identical object positions, and applying step b(i) to the subset of data.

8. The computer-implemented method according to claim 1, which comprises analyzing the object motion during diagnostic measurements of the object, with the object being in the position for imaging with the medical imaging system, by carrying out the following steps:

c. using the motion detection technique for detecting object motion, wherein each motion detection measurement is separated from the next motion detection measurement by a temporal interval, each motion detection measurement enabling an acquisition of a set of motion detection data during the diagnostic measurements; and

d. for each motion detection data of the set of motion detection data, determining whether or not the motion detection data exceeds the threshold and, if the threshold is exceeded, activating a method configured for improving the diagnostic image.

9. The computer-implemented method according to claim 1, comprising continuously acquiring motion detection data during diagnostic measurements and recording and processing temporal information indicating at which time the motion detection data exceeded the threshold, and notifying an operator of the medical imaging system about the occurrence of object motion.

10. The computer-implemented method according to claim 1, which comprises acquiring motion detection data and motion quantification data during the diagnostic measurements for continuously improving the threshold.

11. The computer-implemented method according to claim 1, which comprises automatically stopping the calibration process after a time duration T and automatically starting the diagnostic measurements following the time duration T.

12. The computer-implemented method according to claim 1, wherein the medical imaging system is a magnetic resonance imaging system, the motion quantification technique is a rapid gradient-echo-based acquisition, and the motion detection technique is a free induction decay (FID) Navigator.

13. A medical imaging system for imaging an object, the medical imaging system comprising:

a motion detection system configured to operate according to a motion detection technique;

a motion quantification system configured to operate according to a motion quantification technique;

said motion detection system and said motion quantification system respectively detecting and quantifying motion of the object; and

wherein the medical imaging system is configured for automatically processing the calibration process of the motion detection system according to claim 1.

14. The medical imaging system according to claim 13, wherein said medical imaging system is a magnetic resonance imaging system, the motion quantification technique is a rapid gradient-echo-based acquisition and the motion detection technique being a free induction decay (FID) Navigator.