Aaron So PhD, Presenter: Nothing to Disclose

Simon Modi, Abstract Co-Author: Nothing to Disclose

James White MD, Abstract Co-Author: Nothing to Disclose

Raymond Yee, Abstract Co-Author: Nothing to Disclose

Aashish Goela MD, Abstract Co-Author: Nothing to Disclose

Ting-Yim Lee MSc, PhD, Abstract Co-Author: Grant, General Electric Company Royalties, General Electric Company

Patients with ICD may require lead extraction if there is presence of lead fibrosis and calcification but such procedure requires specialist equipment and skills and is associated with high mortality. We investigated the effectiveness of several image acquisition, reconstruction and processing methods for metal artifact reduction in CT to facilitate its use for pre-procedural identification of lead calcification.

A dual coil ICD lead (St Jude Medical) with radiopaque beads attached was inserted into the right ventricle of an excised pig heart. The heart was filled with water and scanned in approximately the same orientation as in patients with a single energy CT (SECT) protocol using 120 kV, 120 mAs and 0.625 mm collimation on a Discovery 750HD scanner (GE Healthcare). The scan was repeated with a dual energy CT (DECT) protocol using 140/80 kV alternating every 0.2 ms and 210 mAs. Three sets of 0.625-mm-thick cardiac images were generated using the DECT scan data: (1) monochromatic 70 keV, (2) 70 keV plus ASIR (Adaptive Statistical Iterative Reconstruction), (3) 70 keV plus MARS (Metal Artifact Reduction Software, GE). Image set (1) to (3) were used to reduce artifacts from beam hardening, projection noise and projection truncation induced by the lead respectively. Artifacts in each image set were compared against those in the 0.625 mm and 10 mm averaged SECT images.

DECT 70 keV and 70keV+ASIR images manifested intense shading and streaking artifacts that were minimally different from those of the 0.625 mm SECT image and the lead was not visible in all these images. 70keV+MARS image exhibited less artifacts but the lead region was invisible. The 10 mm averaged SECT image showed the least artifacts while the lead with the attached beads was clearly seen.

DECT+MARS showed better artifact removal than DECT without MARS or with ASIR suggesting projection truncation was the dominant cause of the lead artifacts. However, MARS is unable to restore the lead image adequately. The averaging method cancelled out the artifacts while restoring the lead image with minimal compromise of the axial resolution.

Lead extraction is complicated and associated with significant mortality and morbidity. The proposed method facilitates the use of CT for assessing lead calcification and the need of lead extraction.

So, A, Modi, S, White, J, Yee, R, Goela, A, Lee, T, Metal Artifact Reduction in Computed Tomography for Assessment of Lead Extraction in Patients with Implantable Cardiac Defibrillator (ICD).  Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, December 1 - December 6, 2013 ,Chicago IL. http://archive.rsna.org/2013/13044429.html