Dr. Mona K. Garvin
Associate Prof of Electrical and Computer Engg at Univ of Iowa
SPIE Involvement:
Conference Program Committee | Author | Instructor
Publications (24)

SPIE Journal Paper | November 19, 2015
JMI Vol. 2 Issue 04
KEYWORDS: Image classification, Image segmentation, Head, Veins, Arteries, Optimization (mathematics), Visualization, Algorithm development, Detection and tracking algorithms, Feature extraction

PROCEEDINGS ARTICLE | March 20, 2015
Proc. SPIE. 9413, Medical Imaging 2015: Image Processing
KEYWORDS: Visualization, Optical coherence tomography, Image segmentation, Retina, Image registration, Head, Raster graphics, Optic nerve, 3D image processing, Visibility

PROCEEDINGS ARTICLE | March 20, 2015
Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis
KEYWORDS: Eye, Optical coherence tomography, Image segmentation, Photography, Feature extraction, Optical testing, Head, 3D metrology, Optic nerve, 3D image processing

PROCEEDINGS ARTICLE | March 17, 2015
Proc. SPIE. 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Principal component analysis, Statistical analysis, Data modeling, Visualization, Optical coherence tomography, Shape analysis, Raster graphics, Optic nerve, Vitreous, Statistical modeling

PROCEEDINGS ARTICLE | March 13, 2014
Proc. SPIE. 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Human subjects, 3D applications, Nerve, Visualization, Optical coherence tomography, Image segmentation, Retina, Error analysis, Medical imaging, Neodymium

PROCEEDINGS ARTICLE | March 13, 2014
Proc. SPIE. 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Eye, Cornea, Coherence (optics), Visualization, Imaging systems, Optical coherence tomography, Image segmentation, Image resolution, 3D metrology, 3D image processing

Showing 5 of 24 publications
Conference Committee Involvement (10)
Image Processing
19 February 2019 | San Diego, California, United States
Image Processing
11 February 2018 | Houston, Texas, United States
Image Processing Posters
12 February 2017 | Orlando, FL, United States
Image Processing
12 February 2017 | Orlando, Florida, United States
Image Processing
1 March 2016 | San Diego, California, United States
Showing 5 of 10 published special sections
Course Instructor
SC1026: Graph Algorithmic Techniques for Biomedical Image Segmentation
This course provides an in-depth overview of two state-of-the-art graph-based methods for segmenting three-dimensional structures in medical images: graph cuts and the LOGISMOS (Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces) approach. Such graph-based approaches are becoming increasingly used in the medical image analysis community, in part, due to their ability to efficiently produce globally optimal three-dimensional segmentations in a single pass (not requiring an iterative numerical scheme). Additionally, LOGISMOS enables the simultaneous optimal detection of multiple surfaces in volumetric images, which is important in many medical image segmentation applications. In the first part of the course, we provide a broad overview of both graph cuts and the LOGISMOS approach, including the presentation of a number of example applications. In the second and third parts of the course, we present the algorithmic details of graph cuts and the LOGISMOS approach, respectively. In the final part of the course, we discuss the design of cost functions, which is of paramount importance in any graph-based approach.
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