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A COIL SELECTION ALGORITHM BASED ON AUTO LANDMARK PROJECTIVE IMAGES

IP.com Disclosure Number: IPCOM000246503D
Publication Date: 2016-Jun-14
Document File: 6 page(s) / 434K

Publishing Venue

The IP.com Prior Art Database

Abstract

A technique for auto coil detection without operator interaction is disclosed. The technique includes a coil selection algorithm based on auto landmark projective images. Initially, a Dicom image is obtained from each channel of coil on both coronal and saggital plane and then normalized. Subsequently, scanned volume information is projected on coronal and saggital plane to obtain scan coverage maps. Each element in the scan coverage range is scored on coronal and saggital plane respectively. Score of each element is sorted to choose elements of the coil, which can be used for certain field of view (FOV).

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A COIL SELECTION ALGORITHM BASED ON AUTO LANDMARK PROJECTIVE IMAGES

BACKGROUND

The present invention relates generally to a magnetic resonance (MR) system and more particularly to a technique for improving coil selection and enable auto coil detection without operator interaction.

Generally, magnetic resonance (MR) system faces issues regarding accuracy and robustness of an auto coil selection, especially for a case of floating coil.  There are several challenges and limitations that are faced for auto coil selection in the MR system. One of the challenges and limitations is that an operator is required to landmark the floating coil at a superior or inferior (S/I) location using touch sensor or laser. Another one includes dependency of selection result of the floating coil on accuracy of coil detection. One other challenge and limitation includes inefficiency to detect orientation, right or left (R/L) and anterior or posterior (A/P) position of the floating coil in the MR system.

Usually, location of the floating coil is unpredictable. The floating coil DB initiates coil orientation, center position in S/I, R/L, A/P direction and coil coverage. Then operator inputs the S/I position by landmark. Further, the S/I location is updated in the coil DB.  Assuming that the operator is not moving and the floating coil is in R/L and A/P direction, the coil DB fixes the floating coil on an initiated center in R/L and A/P with a large extension. In case the operator landmark is in an incorrect location in S/I or the coil makes a large movement in R/L or the coil is rotated, the MR system is not able to get the correct coil location information. Subsequently, an auto coil selection algorithm recommends an incorrect mode to a user.

A conventional technique includes a method and device for detection of position of an examination person in a MR System. The examination person placed on the table is moved relative to the MR system. Radiofrequency (RF) pulses are radiated while the examination person is moved through the MR system. The resulting MR signals generated by the RF pulses are detected and position of the examination person is determined using the acquired MR signals. However, the above mentioned conventional technique does not mention a method for auto coil detection without operator interaction or coil selection improvement.

Therefore, it would be desirable to have a technique to improve coil selection and enable auto coil detection without operator interaction.

BRIEF DESCRIPTION OF DRAWINGS

Figure 1 depicts a workflow for auto landmark.

Figure 2 depicts the obtained scout images.

Figure 3 depicts the algorithm workflow.

Figure 4a depicts normalized sub-channel images on coronal plane and Figure 4b depicts normalized sub-channel images on saggital plane.

Figure 5 depicts scanned volume projection on coronal and saggital plane.

Figure 6 depicts SV AA coil that selected AB mode based score.

Figure 7 depicts SV flex coil that selected two of the elem...