A 3D difference-of-Gaussian-based lesion detector for brain PET

Weidong Cai, Sidong Liu, Yang Song, Sonia Pujol, Ron Kikinis, Dagan Feng

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Positron emission tomography (PET) plays an important role in neurodegenerative disorder diagnosis and neurooncology applications, especially detecting the early metabolism anomalies in human brains. Current lesion detection algorithms can be roughly classified into voxel-based, region of interest (ROI)-based, and global algorithms. These methods may capture the scale and/or location of the lesions in brain, but other important properties, such as lesion metabolism rate and contrast to non-lesion parts are often ignored. To capture these important features, we propose a novel lesion detector with three lesion-centric feature descriptors for brain PET. We analyze the lesion patterns of 331 PET datasets from the ADNI baseline cohort and further perform t-test between different disorder groups to validate the new lesion-centric features. The preliminary results show that the proposed lesion detector is robust in capturing the brain lesions and has a great potential to be a predictive biomarker for neurological disorders.
Original languageEnglish
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages677-680
Number of pages4
ISBN (Electronic)9781467319614
DOIs
Publication statusPublished - 2 May 2014
Externally publishedYes
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: 29 Apr 20142 May 2014

Conference

Conference2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
CountryChina
CityBeijing
Period29/04/142/05/14

Keywords

  • brain imaging
  • PET
  • lesion detection

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  • Cite this

    Cai, W., Liu, S., Song, Y., Pujol, S., Kikinis, R., & Feng, D. (2014). A 3D difference-of-Gaussian-based lesion detector for brain PET. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 677-680). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISBI.2014.6867961