Search PubMed⌕ Search

PubMed · 4686659

Simplified left ventricular venting.

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G Sproul, J Pinto, M J Trummer, J Devin. 1973. Simplified left ventricular venting.. https://pubmed.ncbi.nlm.nih.gov/4686659/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Identification of an infected left ventricular assist device after cardiac transplant by indium-111 WBC scintigraphy.

PURPOSE: The purpose of this case report is to demonstrate the utility of multimodality imaging in the diagnosis of infection within a retained prosthetic device in the posttransplant setting. MATERIAL AND METHODS: Autologous leukocytes were labeled in vitro with indium-111 oxine and were reinjected. Whole-body and SPECT images were acquired at 24 hours and correlated with contemporary CT images. RESULTS: Through the use of combined indium-labeled WBC scintigraphy and CT we were able to identify infection within retained left ventricular assist device tubing status postcardiac transplantation in a patient with a diagnosis of fever of unknown origin. CONCLUSION: Localization of possible infectious etiologies within the transplant population is of utmost concern. Multimodality imaging, often utilizing scintigraphic techniques, is recommended.

Heart Ventricles↗

Level set based auto segmentation of the tagged left ventricle MR images.

To facilitate automatic segmentation, we adopt SVM (Support Vector Machine) to localize the left ventricle, and the segmentation is then carried out with narrow band level set. The method of generating the narrow band is improved such that the time used is reduced. Based on the imaging characteristics of the tagged left ventricle MR images, BPV (block-pixel variation) and intensity comparability are introduced to improve the speed term of level set and to increase the precision of segmentation. Our method can perform the segmentation of the tagged left ventricle MR images accurately and automatically.

Heart Ventricles↗