Multiscale fuzzy C-means image classification for multiple weighted MR images for the assessment of photodynamic therapy in mice

Hesheng Wang, Denise Feyes, John Mulvihill, Nancý Oleinick, Gregory Maclennan, Baowei Fei

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

9 Scopus citations

Abstract

We are investigating in vivo small animal imaging and analysis methods for the assessment of photodynamic therapy (PDT), an emerging therapeutic modality for cancer treatment. Multiple weighted MR images were acquired from tumor-bearing mice pre- and post-PDT and 24-hour after PDT. We developed an automatic image classification method to differentiate live, necrotic and intermediate tissues within the treated tumor on the MR images. We used a multiscale diffusion filter to process the MR images before classification. A multiscale fuzzy C-means (FCM) classification method was applied along the scales. The object function of the standard FCM was modified to allow multiscale classification processing where the result from a coarse scale is used to supervise the classification in the next scale. The multiscale fuzzy C-means (MFCM) method takes noise levels and partial volume effects into the classification processing. The method was validated by simulated MR images with various noise levels. For simulated data, the classification method achieved 96.0 ±1.1% overlap ratio. For real mouse MR images, the classification results of the treated tumors were validated by histologic images. The overlap ratios were 85.6 ± 5.1%, 82.4 ± 7.8% and 80.5 ± 10.2% for the live, necrotic, and intermediate tissues, respectively. The MR imaging and the MFCM classification methods may provide a useful tool for the assessment of the tumor response to photodynamic therapy in vivo.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2007
Subtitle of host publicationImage Processing
EditionPART 2
DOIs
StatePublished - Nov 23 2007
Externally publishedYes
EventMedical Imaging 2007: Image Processing - San Diego, CA, United States
Duration: Feb 18 2007Feb 20 2007

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 2
Volume6512
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2007: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/18/072/20/07

Keywords

  • Fuzzy C-means
  • Image classification
  • Magnetic resonance imaging (MRI)
  • Multiscale
  • Photodynamic treatment (PDT)
  • Small animal imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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    Wang, H., Feyes, D., Mulvihill, J., Oleinick, N., Maclennan, G., & Fei, B. (2007). Multiscale fuzzy C-means image classification for multiple weighted MR images for the assessment of photodynamic therapy in mice. In Medical Imaging 2007: Image Processing (PART 2 ed.). [65122W] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6512, No. PART 2). https://doi.org/10.1117/12.710188