The Moscone Center
San Francisco, California, United States
1 - 6 February 2020
Conference BO304
Multimodal Biomedical Imaging XV
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Abstract Due:
24 July 2019

Author Notification:
30 September 2019

Manuscript Due Date:
8 January 2020

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Conference Chairs
Program Committee
Program Committee continued...
  • Yu Chen, Univ. of Maryland, College Park (United States)
  • Gultekin Gulsen, Univ. of California, Irvine (United States)
  • Brian W. Pogue, Thayer School of Engineering at Dartmouth (United States)
  • Arjun G. Yodh, Univ. of Pennsylvania (United States)

Call for
Submission to this conference will follow the current thrust at large at SPIE BIOS and must include the following three documents submitted in separate files:
  • A 100-word text abstract (for online program)
  • A 250-word abstract text (for abstract digest)
  • A 2-page extended abstract (for committee review only – not published). The extended abstract must be submitted as a separate document and is limited to two pages including all materials (table, figure, references, etc.).

    All submissions will be peer-reviewed by the program committee to determine acceptance and presentation type.

  • Optical techniques offer the potential to contribute greatly to the expansion of clinical multimodality techniques. Their ability to image structural, functional, and molecular information at different spatial and temporal scales makes them very attractive to the biomedical community. There is critical need for new instrumental approaches and computational techniques, especially model-based and machine-learning/deep learning based image processing techniques and reconstructions, to provide rapid, accurate and cost-effective means for acquisition, quantification and characterization of multimodal data. Multimodality approach can be understood as the combination of multiple optical techniques in an instrument and/or fusion of an optical technique with other well-established imaging modalities such as CT, MRI, US, or PET. These instrumental and computational methods will enable faster acceptance of novel imaging modalities into viable clinical and/or pre-clinical systems. The applications are diverse and range from imaging at the cellular level to the whole body while incorporating molecular, functional and anatomical information.

    The conference objectives are to provide a forum:
  • to review and share recent developments in novel multimodal imaging techniques,
  • to report development of novel computational methods, and
  • to bring together the optical imaging and image analysis communities.

    Topics include, but are not limited to:
  • Multimodal imaging integrating structural, molecular and functional information.
  • Multimodal microscopic imaging.
  • Artificial Intelligence/Deep learning methodologies applied to biomedical imaging.
  • 2D, 3D, 4D tomographic and / or multi-spectral imaging.
  • Imaging analysis and/or image processing techniques applied to optical imaging (e.g. visualization, segmentation, registration).
  • Multimodal imaging instrumentation and system design.
  • Detection and diagnostic analysis techniques which may provide better quantitative and/or diagnostic insight into clinical and pre-clinical imaging (e.g. methods for quantitative measurements, computer-assisted diagnosis).
  • Imaging analysis and/or image processing techniques used to combine optical imaging with other imaging modalities (e.g. MR, x-ray, PET).
  • Image analysis, computational methods and reconstruction approaches which may help bring optical imaging into the clinic (visual rendering of complex data set, novel algorithms for assisted optical reconstruction).
  • Clinical evaluation of these new technologies (physiological and functional interpretation of image data, visual perception and observer performances, validation of quantitative assessment of optical signatures in-vivo).
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