Fast Streaming 3D Level set Segmentation on the GPU for Smooth Multi-phase Segmentation

Ojaswa Sharma, Qin Zhang, François Anton, Chandrajit Bajaj

    Research output: Contribution to journalJournal articleResearchpeer-review

    1 Downloads (Pure)

    Abstract

    Level set method based segmentation provides an efficient tool for topological and geometrical shape handling, but it is slow due to high computational burden. In this work, we provide a framework for streaming computations on large volumetric images on the GPU. A streaming computational model allows processing large amounts of data with small memory footprint. Efficient transfer of data to and from the graphics hardware is performed via a memory manager. We show volumetric segmentation using a higher order, multi-phase level set method with speedups of the order of 5 times.
    Original languageEnglish
    Book seriesLecture Notes in Computer Science
    Volume6750
    Pages (from-to)72-91
    ISSN0302-9743
    DOIs
    Publication statusPublished - 2011

    Keywords

    • Streaming computation
    • Graphics hardware
    • Segmentation
    • GPU
    • Higher-order
    • Multi-phase
    • Level set

    Fingerprint Dive into the research topics of 'Fast Streaming 3D Level set Segmentation on the GPU for Smooth Multi-phase Segmentation'. Together they form a unique fingerprint.

    Cite this