dc.contributor.advisor | Piao, Daqing | |
dc.contributor.author | Palande, Dhanashree | |
dc.date.accessioned | 2014-09-24T14:18:36Z | |
dc.date.available | 2014-09-24T14:18:36Z | |
dc.date.issued | 2013-07-01 | |
dc.identifier.uri | https://hdl.handle.net/11244/11175 | |
dc.description.abstract | Accurate prostate segmentation in trans-rectal ultrasound (TRUS) imagery is an important step in different clinical applications, and it is particularly necessary for providing a 3-dimensional spatial prior to guide the image reconstruction of trans-rectal optical tomography for prostate cancer detection. Utilizing the US prior to guide near infrared tomography reconstruction could be performed by direct segmentation of the US image. Therefore, 2-dimensional segmentation of the axial TRUS images are performed extensively, however, 2-dimensional segmentation of the sagittal TRUS images are challenging, due to more complexities in contrast, morphological features and image artifacts, as well as significant inter-subject variations of the prostate shape and size. We develop a routine of segmenting 2-dimensional TRUS images obtained from canine prostate, based on the combination of a Snake's algorithm and selected manual segmentation. The segmentations obtained from a sparse set of axial and sagittal images are aligned to form the 3-dimensional contour of a prostate. The resulted prostate profile is implemented as the spatial prior to constrain image reconstruction of trans-rectal optical tomography. The trans-rectal optical tomography images reconstructed with the prostate profile prior are compared with those reconstructed without any spatial prior by monitoring oxygen saturation (StO2) and total hemoglobin concentration ([HbT]) in lesions of a canine prostate. | |
dc.format | application/pdf | |
dc.language | en_US | |
dc.publisher | Oklahoma State University | |
dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
dc.title | Trans-Rectal Optical Tomography Reconstruction Using 3-Dimensional Spatial Prior Extracted From Sparse 2-Dimensional Trans-Rectal Ultrasound Imagery | |
dc.type | text | |
dc.contributor.committeeMember | Hagan, Martin | |
dc.contributor.committeeMember | Fan, Guoliang | |
osu.filename | Palande_okstate_0664M_12899.pdf | |
osu.accesstype | Open Access | |
dc.description.department | Electrical Engineering | |
dc.type.genre | Thesis | |