Purpose: Acceleration of a passive tracking sequence based on phase-only cross-correlation (POCC) using radial undersampling. Methods: The phase-only cross-correlation (POCC) algorithm allows passive tracking of interventional instruments in real-time. In a POCC sequence, two cross-sectional images of a needle guide with a positive MR contrast are continuously acquired from which the instrument trajectory is calculated. Conventional Cartesian imaging for tracking is very time consuming; here, a higher temporal resolution is achieved using a highly undersampled radial acquisition together with a modified POCC algorithm that incorporates the point-spread-function. Targeting and needle insertion is performed in two phantom experiments with 16 fiducial targets, each using 4 and 16 radial projections for passive tracking. Additionally, targeting of eight deep lying basivertebral veins in the lumbar spines is performed for in vivo proof-of-application with four radial projections for needle guide tracking. Results: The radially undersampled POCC sequence yielded in the phantom experiments a lateral targeting accuracy of 1.1 ± 0.4 mm and 1.0 ± 0.5 mm for 16 and 4 radial projections, respectively, without any statistically significant difference. In the in vivo application, a mean targeting duration of 62 ± 13 s was measured. Conclusion: Radial undersampling can drastically reduce the acquisition time for passive tracking in a POCC sequences for MR-guided needle interventions without compromising the targeting accuracy. Keywords: MR-guided interventional procedures; MR-guided needle intervention; MR-guided prostate biopsy; interventional magnetic resonance imaging; interventional radiology.


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    Title :

    Passive needle guide tracking with radial acquisition and phase‐only cross‐correlation


    Contributors:

    Publication date :

    2021-01-01


    Remarks:

    Magnetic resonance in medicine. - 85, 2 (2021) , 1039-1046, ISSN: 1522-2594



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    610 / 629