Semiautomatic Three-dimensional Reconstruction and Quantitative Analysis of Pulmonary CT Scans: Current Methodology at the U.S. Army Institute of Surgical Research

Abstract

Assessment of density patterns is critical for quantification of the morphology in healthy and diseased lungs. We propose a fast and accurate method for semiautomatic lung density distribution assessment. The algorithm is based on a customized, commercially available software package that supports various file formats. Analysis of porcine CT scans was done using a software package, Able Software Corp., 3D-Doctor, Lexington, MA. Briefly, axial CT scans were semi automatically analyzed, slice-by-slice, using the interactive segmentation function of the 3D-Doctor software. Pre, and post, contusion image stacks were quantified and compared with respect to density distribution.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA412026

Entities

People

  • Andriy I Batchinsky
  • Leopoldo C. Cancio

Organizations

  • United States Army Institute of Surgical Research

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Anesthesia
  • Data Acquisition
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Gray Scale
  • Health Services
  • Lung Diseases
  • Medical Personnel
  • Radiology
  • Semiautomatic
  • Thoracic Injuries
  • Three Dimensional
  • Tomography
  • X-Ray Computed Tomography

Fields of Study

  • Medicine

Readers

  • Computer Science.
  • Oncology and Biomarker-Based Cancer Detection.
  • Trauma Surgery or Emergency Medicine.