Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging.
Nicholas PetrickHyun J. Grace KimDavid A. ClunieKristin BorradaileRobert FordRongping ZengMarios A. GavrielidesMichael F. McNitt-GrayCharles FenimoreZ. Q. John LuBinsheng ZhaoAndrew J. BucklerPublished in: Medical Imaging: Computer-Aided Diagnosis (2011)
Keyphrases
- medical imaging
- computed tomography
- pulmonary nodules
- ct images
- computer aided detection
- ct scans
- computer aided diagnosis
- medical images
- image registration
- three dimensional
- lung nodules
- computer aided
- ct volume
- x ray
- low dose
- lung cancer
- medical image processing
- cad systems
- clinical practice
- magnetic resonance imaging
- magnetic resonance images
- image processing
- image guided
- spherical harmonics
- computer vision
- ct data
- computer tomography
- image analysis
- nodule detection
- early detection
- breast cancer
- image segmentation
- imaging modalities
- intraoperative
- micro ct
- clinical applications
- high resolution
- ground glass opacity
- lung parenchyma