Title :
STRAIGHTENING WORM IMAGES
Author :
Peng, Hanchuan ; Long, Fuhui ; Myers, Eugene W.
Author_Institution :
Janelia Farm Res. Campus, Howard Hughes Med. Inst., Ashburn, VA
Abstract :
C. elegans, a roundworm in soil is widely used in studying animal development and aging, cell differentiation, etc. Recentlv, high-resolution fluorescence images of C. elegans have become available, introducing several new image analysis applications. One problem is that worm bodies usually curve greatly in images, thus it is highly desired to straighten worms so that they can be compared easily under the same canonical coordinate system. We develop a worm straightening algorithm (WSA) using a cutting-plane restacking method, which aggregates the linear rotation transforms of a continuous sequence of cutting lines/planes orthogonal to the "backbone" of a worm to best approximate the nonlinearly bended worm body. We formulate the backbone as a parametric form of cubic spline of a series of control points. We develop two minimum-spanning-tree based methods to automatically determine the locations of control points. Our experimental methods show that our approach can effectively straighten both 2D and 3D worm images.
Keywords :
fluorescence; medical image processing; physiological models; C. elegans; cutting-plane restacking method; fluorescence images; image analysis; minimum-spanning-tree based methods; worm straightening algorithm; Aggregates; Aging; Animals; Automatic control; Biomedical imaging; Fluorescence; Image sequence analysis; Image storage; Soil; Spine;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
DOI :
10.1109/ISBI.2007.356846