Prostate lesion detection and localization based on locality alignment discriminant analysis

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

1 Scopus Citations
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Author(s)

  • Weifu Chen
  • Mingbo Zhao
  • Eli Gibson
  • Matthew Bastian-Jordan
  • Derek W. Cool
  • Zahra Kassam
  • Aaron Ward

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
PublisherSPIE
Volume10134
ISBN (Print)9781510607132
Publication statusPublished - 3 Mar 2017

Publication series

Name
Volume10134
ISSN (Print)1605-7422

Conference

TitleMedical Imaging 2017: Computer-Aided Diagnosis
PlaceUnited States
CityOrlando
Period13 - 16 February 2017

Abstract

Prostatic adenocarcinoma is one of the most commonly occurring cancers among men in the world, and it also the most curable cancer when it is detected early. Multiparametric MRI (mpMRI) combines anatomic and functional prostate imaging techniques, which have been shown to produce high sensitivity and specificity in cancer localization, which is important in planning biopsies and focal therapies. However, in previous investigations, lesion localization was achieved mainly by manual segmentation, which is time-consuming and prone to observer variability. Here, we developed an algorithm based on locality alignment discriminant analysis (LADA) technique, which can be considered as a version of linear discriminant analysis (LDA) localized to patches in the feature space. Sensitivity, specificity and accuracy generated by the proposed algorithm in five prostates by LADA were 52.2%, 89.1% and 85.1% respectively, compared to 31.3%, 85.3% and 80.9% generated by LDA. The delineation accuracy attainable by this tool has a potential in increasing the cancer detection rate in biopsies and in minimizing collateral damage of surrounding tissues in focal therapies.

Research Area(s)

  • Lesion localization, Locality alignment discriminant analysis (LADA), Multiparametric MRI (mpMRI), Prostate cancer

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

Prostate lesion detection and localization based on locality alignment discriminant analysis. / LIN, Mingquan; Chen, Weifu; Zhao, Mingbo; Gibson, Eli; Bastian-Jordan, Matthew; Cool, Derek W.; Kassam, Zahra; CHOW, Wai Shing Tommy; Ward, Aaron ; CHIU, Bernard.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 10134 SPIE, 2017. 101344A.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)