Automated three-dimensional assessment of coronary artery anatomy with intravascular ultrasound scanning

Klingensmith, Jon D; Schoenhagen, Paul; Tajaddini, Azita; Halliburton, Sandra S; Tuzcu, E.Murat; Nissen, Steven E; Vince, D.Geoffrey

doi:10.1016/S0002-8703(03)00089-9

« Previous Next »American Heart Journal
Volume 145, Issue 5 , Pages 795-805, May 2003

Automated three-dimensional assessment of coronary artery anatomy with intravascular ultrasound scanning

Jon D Klingensmith, PhD
- Department of Biomedical Engineering, Lerner Research Institute, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
Paul Schoenhagen, MD
- Department of Cardiovascular Medicine, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
- Department of Radiology, Cardiovascular Imaging Center, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
Azita Tajaddini, DEng
- Department of Biomedical Engineering, Lerner Research Institute, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
Sandra S Halliburton, PhD
- Department of Radiology, Cardiovascular Imaging Center, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
E.Murat Tuzcu, MD, FACC
- Department of Cardiovascular Medicine, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
Steven E Nissen, MD, FACC
- Department of Cardiovascular Medicine, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
D.Geoffrey Vince, PhD
- Department of Biomedical Engineering, Lerner Research Institute, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
- Reprint requests: D. Geoffrey Vince, PhD, Department of Biomedical Engineering, ND20, Lerner Research Institute, The Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195, USA.

Abstract

Background

Angiography allows the definition of advanced, severe stages of coronary artery disease, but early atherosclerotic lesions, which do not lead to luminal stenosis, are not identified reliably. In contrast, intravascular ultrasound scanning allows the precise characterization and quantification of a wide range of atherosclerotic lesions, independent of the severity of luminal stenosis.

Methods

Three-dimensional (3-D) reconstruction of entire coronary segments is possible with the integration of sequential 2-dimensional tomographic images and allows volumetric analysis of coronary arteries.

Results

Automated systems able to recognize lumen and vessel borders and to display 3-D images are becoming available.

Conclusion

These systems have the potential for on-line 3-D image reconstruction for clinical decision-making and fast routine volumetric analysis in research studies. This review describes 3-D intravascular ultrasound scanning acquisition, analysis, and processing, and the associated technical challenges.