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Validation of Second-Generation Motion-Correction Software for Computed Tomography Coronary Angiography With Novel Quantitative Approach.
Goldberg, Ari; Adams, William H; Thomsen, Brian; Ashraf, Usman; Vasilopoulos, Vasilios.
Afiliación
  • Goldberg A; From the Department of Radiology.
  • Adams WH; Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Medical Center, Maywood, IL.
  • Thomsen B; Department of Medicine, GE Healthcare, Waukesha, WI.
  • Ashraf U; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN.
  • Vasilopoulos V; From the Department of Radiology.
J Comput Assist Tomogr ; 45(3): 403-407, 2021.
Article en En | MEDLINE | ID: mdl-33797442
ABSTRACT

INTRODUCTION:

Computed tomography of the coronary arteries (CTCA) is an important diagnostic tool. However, motion degradation is sometimes a challenge to interpretation and quantification, particularly with elevated heart rates. Here, a novel quantitative method is presented as part of an evaluation of one particular motion correction algorithm.

METHODS:

Computed tomography of the coronary arteries scans from 49 patients, with heart rates of >70 bpm, were identified with motion artifacts in multiple coronary segments. At these foci (196), an objective measure of motion degradation, defined here by cross-section eccentricity, was determined before and after image processing with second-generation GE SnapShot Freeze software (SSF-2.0). In addition, a subjective scoring was applied by an expert cardiothoracic radiologist both before and after processing.

RESULTS:

An overall decrease in vessel eccentricity strongly correlated (P < 0.001) with processing of the images by motion-correction software. A concurrent overall increase in subjective vessel clarity correlated (P < 0.001) with application of the software as well.

CONCLUSIONS:

A novel quantitative method (and subjective analysis) for evaluation of CTCA motion has been described and applied to validation of SSF-2.0 motion-correction software. Both the technique and software demonstrate promise for robust clinical utility in CTCA evaluation.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Interpretación de Imagen Radiográfica Asistida por Computador / Isquemia Miocárdica Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Comput Assist Tomogr Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Interpretación de Imagen Radiográfica Asistida por Computador / Isquemia Miocárdica Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Comput Assist Tomogr Año: 2021 Tipo del documento: Article
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