Development of a robust MRI fiducial system for automated fusion of MR-US abdominal images.

Autor: Favazza CP; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Gorny KR; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Callstrom MR; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Kurup AN; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Washburn M; GE Healthcare, Wauwatosa, WI, USA., Trester PS; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Fowler CL; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Hangiandreou NJ; Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Jazyk: angličtina
Zdroj: Journal of applied clinical medical physics [J Appl Clin Med Phys] 2018 Jul; Vol. 19 (4), pp. 261-270. Date of Electronic Publication: 2018 May 21.
DOI: 10.1002/acm2.12352
Abstrakt: We present the development of a two-component magnetic resonance (MR) fiducial system, that is, a fiducial marker device combined with an auto-segmentation algorithm, designed to be paired with existing ultrasound probe tracking and image fusion technology to automatically fuse MR and ultrasound (US) images. The fiducial device consisted of four ~6.4 mL cylindrical wells filled with 1 g/L copper sulfate solution. The algorithm was designed to automatically segment the device in clinical abdominal MR images. The algorithm's detection rate and repeatability were investigated through a phantom study and in human volunteers. The detection rate was 100% in all phantom and human images. The center-of-mass of the fiducial device was robustly identified with maximum variations of 2.9 mm in position and 0.9° in angular orientation. In volunteer images, average differences between algorithm-measured inter-marker spacings and actual separation distances were 0.53 ± 0.36 mm. "Proof-of-concept" automatic MR-US fusions were conducted with sets of images from both a phantom and volunteer using a commercial prototype system, which was built based on the above findings. Image fusion accuracy was measured to be within 5 mm for breath-hold scanning. These results demonstrate the capability of this approach to automatically fuse US and MR images acquired across a wide range of clinical abdominal pulse sequences.
(© 2018 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.)
Databáze: MEDLINE
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