A three-dimensional second-derivative surface-detection algorithm for volume determination on SPECT images.
dc.contributor.author | Hillel, Philip G | |
dc.contributor.author | Hastings, David L | |
dc.date.accessioned | 2010-05-24T16:16:28Z | |
dc.date.available | 2010-05-24T16:16:28Z | |
dc.date.issued | 1993-05 | |
dc.identifier.citation | A three-dimensional second-derivative surface-detection algorithm for volume determination on SPECT images. 1993, 38 (5):583-600 Phys Med Biol | en |
dc.identifier.issn | 0031-9155 | |
dc.identifier.pmid | 8321888 | |
dc.identifier.doi | 10.1088/0031-9155/38/5/002 | |
dc.identifier.uri | http://hdl.handle.net/10541/99770 | |
dc.description.abstract | Most existing techniques for determining volumes on single-photon-emission computed tomography (SPECT) data employ thresholding, two-dimensional edge detection, or manual delineation of edges. These methods, however, are limited in both accuracy and applicability. In seeking to overcome these limitations, a truly three-dimensional (3D) second-derivative-based algorithm which can be implemented with relative ease has been developed. The method incorporates 3D matrix operators; these are convoluted with the SPECT count data in order to produce a 3D voxel map whose data elements correspond to the second derivative of counts in the image. This map is then searched, a suitable derivative-based edge-defining criterion being applied to each voxel position, in order to locate the derivative surface boundary which defines the volume. Validation is obtained using phantom data from 99Tcm-filled bottles of volumes 200, 580 and 2500 cm3 placed within a body-sized tank containing background activities set to give a range of contrasts between 1.00 and 0.75 (i.e. background 0% to 25%). The performance of the algorithm is encouraging: the volumes of the two larger bottles are determined to within a 3% accuracy without the need for any prior calibration, and the results obtained over all bottle sizes are found to be contrast independent to within approximately 4%. | |
dc.language.iso | en | en |
dc.subject.mesh | Algorithms | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Image Processing, Computer-Assisted | |
dc.subject.mesh | Models, Structural | |
dc.subject.mesh | Reproducibility of Results | |
dc.subject.mesh | Software | |
dc.subject.mesh | Tomography, Emission-Computed, Single-Photon | |
dc.title | A three-dimensional second-derivative surface-detection algorithm for volume determination on SPECT images. | en |
dc.type | Article | en |
dc.contributor.department | North Western Medical Physics Department, Christie Hospital NHS Trust, Manchester, UK. | en |
dc.identifier.journal | Physics in Medicine and Biology | en |
html.description.abstract | Most existing techniques for determining volumes on single-photon-emission computed tomography (SPECT) data employ thresholding, two-dimensional edge detection, or manual delineation of edges. These methods, however, are limited in both accuracy and applicability. In seeking to overcome these limitations, a truly three-dimensional (3D) second-derivative-based algorithm which can be implemented with relative ease has been developed. The method incorporates 3D matrix operators; these are convoluted with the SPECT count data in order to produce a 3D voxel map whose data elements correspond to the second derivative of counts in the image. This map is then searched, a suitable derivative-based edge-defining criterion being applied to each voxel position, in order to locate the derivative surface boundary which defines the volume. Validation is obtained using phantom data from 99Tcm-filled bottles of volumes 200, 580 and 2500 cm3 placed within a body-sized tank containing background activities set to give a range of contrasts between 1.00 and 0.75 (i.e. background 0% to 25%). The performance of the algorithm is encouraging: the volumes of the two larger bottles are determined to within a 3% accuracy without the need for any prior calibration, and the results obtained over all bottle sizes are found to be contrast independent to within approximately 4%. |