Automatic detection of linear artifacts in medical images

Med Phys. 2004 Sep;31(9):2707-10. doi: 10.1118/1.1783553.

Abstract

Our purpose in this study is to describe an algorithm for the automatic detection of linear artifacts in medical images. Linear artifacts arise as a result of many different forms of tissues and tissue boundaries within the imaging volume. Additionally, linear artifacts can arise for artificial structures such as radioactive seeds and radioactive linear sources. It is the purpose of the described algorithm to automatically detect linear artifacts of a certain length and diameter. The algorithm was written and compiled on a Pentium-4 based computer in the Microsoft Visual C/C++ language. Inert coils supplied by Radiomed Inc. were implanted into a standard prostate ultrasound phantom. Transaxial ultrasound images of the implanted phantom were obtained at 2 mm increments. The coded algorithm was then applied to the ultrasound imaging volume to automatically segment out the implanted coils. Thirteen coils were implanted in the prostate phantom. Thirteen coils were automatically identified in the imaging volume. An algorithm was developed to automatically determine the position and orientation of radioactive coils within an imaging volume. The algorithm successfully identified thirteen coils implanted in an ultrasound prostate phantom.

Publication types

  • Evaluation Study

MeSH terms

  • Algorithms*
  • Artifacts*
  • Brachytherapy / methods*
  • Humans
  • Image Interpretation, Computer-Assisted / instrumentation
  • Image Interpretation, Computer-Assisted / methods*
  • Male
  • Pattern Recognition, Automated / methods
  • Phantoms, Imaging
  • Prostatic Neoplasms / diagnostic imaging*
  • Prostatic Neoplasms / radiotherapy*
  • Prostheses and Implants
  • Prosthesis Implantation / methods*
  • Quality Assurance, Health Care / methods
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Surgery, Computer-Assisted / methods*
  • Ultrasonography / instrumentation
  • Ultrasonography / methods