Stroke Suite: Cad Systems for Acute Ischemic Stroke, Hemorrhagic Stroke, and Stroke in ER

  • Authors:
  • Wieslaw L. Nowinski;Guoyu Qian;K. N. Prakash;Ihar Volkau;Wing Keet Leong;Su Huang;Anand Ananthasubramaniam;Jimin Liu;Ting Ting Ng;Varsha Gupta

  • Affiliations:
  • Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore;Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore;Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore;Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore;Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore;Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore;Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore;Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore;Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore;Biomedical Imaging Lab, Agency for Science, Technology and Research, Singapore

  • Venue:
  • Medical Imaging and Informatics
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a suite of computer aided-diagnosis (CAD) systems for acute ischemic stroke, hemorrhagic stroke, and stroke in emergency room. A software architecture common for them is described. The acute ischemic stroke CAD system supports thrombolysis. Our approach shifts the paradigm from a 2D visual inspection of individual scans/maps to atlas-assisted quantification and simultaneous visualization of multiple 2D/3D images. The hemorrhagic stroke CAD system supports the evacuation of hemorrhage by thrombolytic treatment. It aims at progression and quantification of blood clot removal. The clot is automatically segmented from CT time series, its volume measured, and displayed in 3D along with a catheter. A stroke CAD in emergency room enables rapid atlas-assisted decision support regarding the stroke and its location. Our stroke CAD systems facilitate and speed up image analysis, increase confidence of interpreters, and support decision making. They are potentially useful in diagnosis and research, particularly, for clinical trials.