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A Study to Evaluate the Effects of Distortion Reduction Software for Improving Image Quality in Computed Tomography (CT) Scans

Overview

About this study

The primary purpose of this study is to evaluate the effectiveness of automatic adaptive iterative metal artifcate reduction (AiMAR) in improving image quality in CT scans of different body parts in patients with different metal implants in terms of artifact reduction and visualization of key anatomic structures.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:

  • Male and female patients aged 18 years or more.
  • Patients who have undergone CT scan.
  • Presence of metal in the pelvic region.
  • Patients who have given permission to use their. healthinformation for research purposes under Minnesota authorization for research.

Exclusion Criteria: 

  • Patients not meeting inclusion criteria will be excluded.

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status Contact

Rochester, Minn.

Mayo Clinic principal investigator

Joel Fletcher, M.D.

Contact us for the latest status

Contact information:

Yong Lee Ph.D.

(507)538-8446

Lee.Yong@mayo.edu

More information

Publications

Publications are currently not available

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CLS-20467314

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