SEGMENTATION OF IPF LUNG IMAGES WITH PULSE IMAGES

摘要

CT images of patients diagnosed with idiopathic pulmonaryrnfibrosis (IPF) present visual evidence of the disease.rnAutomated tools are presented which extract informationrnfrom the CT images and isolate visual evidencernof the disease from healthy lung tissue. Each CT imagernis converted to a set of pulse images which through collectivernsynchronization of pixels extract pertinent informationrnof the diseased regions. These pulse streams are usedrnfor training and recall through an associative memory sornthat entire images can be segmented and analyzed. Thisrnwork presents the algorithms and results for the analysisrnof patients with IPF and normal patients. Results demonstraternthat segmentation of IPF images is useful in extractingrnquantitative information.