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3D CT cinematic rendering of pediatric thoracic vascular anomalies.
Recht, Hannah S; Weisberg, Edmund M; Fishman, Elliot K.
Afiliação
  • Recht HS; Department of Radiology, Feinberg School of Medicine, Northwestern University, 676 North St. Clair Street, Suite 800, Chicago, IL 60611, United States of America.
  • Weisberg EM; Johns Hopkins University School of Medicine, The Russell H. Morgan Department of Radiology and Radiological Science, 601 North Caroline Street, Baltimore, MD 21287, United States of America.
  • Fishman EK; Johns Hopkins University School of Medicine, The Russell H. Morgan Department of Radiology and Radiological Science, 601 North Caroline Street, Baltimore, MD 21287, United States of America.
Eur J Radiol Open ; 10: 100485, 2023.
Article em En | MEDLINE | ID: mdl-36950473
ABSTRACT
Thoracic vascular anomalies in the pediatric population are a heterogeneous group of diseases, with varied clinical presentations and imaging findings. High-resolution computed tomography is widely available and has become a standard part of the workup of these patients, often with three dimensional images. Cinematic rendering is a novel 3D visualization technique that utilizes a new, complex global lighting model to create photorealistic images with enhanced anatomic detail. The purpose of this pictorial review is to highlight the advantages of cinematic rendering compared to standard 2D computed tomography and traditional volume-rendered 3D images in the evaluation of thoracic vascular anomalies. Although cinematic rendering remains a new visualization technique under continued study, the improved anatomic detail and photorealistic quality of these images may be advantageous for surgical planning in cases of complex vascular abnormalities. Cinematic rendering may also help improve communication among clinicians, trainees, and patients and their families.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article