A three-dimensional second-derivative surface-detection algorithm for volume determination on SPECT images.

2.50
Hdl Handle:
http://hdl.handle.net/10541/99770
Title:
A three-dimensional second-derivative surface-detection algorithm for volume determination on SPECT images.
Authors:
Hillel, Philip G; Hastings, David L
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%.
Affiliation:
North Western Medical Physics Department, Christie Hospital NHS Trust, Manchester, UK.
Citation:
A three-dimensional second-derivative surface-detection algorithm for volume determination on SPECT images. 1993, 38 (5):583-600 Phys Med Biol
Journal:
Physics in Medicine and Biology
Issue Date:
May-1993
URI:
http://hdl.handle.net/10541/99770
DOI:
10.1088/0031-9155/38/5/002
PubMed ID:
8321888
Type:
Article
Language:
en
ISSN:
0031-9155
Appears in Collections:
All Christie Publications

Full metadata record

DC FieldValue Language
dc.contributor.authorHillel, Philip Gen
dc.contributor.authorHastings, David Len
dc.date.accessioned2010-05-24T16:16:28Z-
dc.date.available2010-05-24T16:16:28Z-
dc.date.issued1993-05-
dc.identifier.citationA three-dimensional second-derivative surface-detection algorithm for volume determination on SPECT images. 1993, 38 (5):583-600 Phys Med Biolen
dc.identifier.issn0031-9155-
dc.identifier.pmid8321888-
dc.identifier.doi10.1088/0031-9155/38/5/002-
dc.identifier.urihttp://hdl.handle.net/10541/99770-
dc.description.abstractMost 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%.en
dc.language.isoenen
dc.subject.meshAlgorithms-
dc.subject.meshHumans-
dc.subject.meshImage Processing, Computer-Assisted-
dc.subject.meshModels, Structural-
dc.subject.meshReproducibility of Results-
dc.subject.meshSoftware-
dc.subject.meshTomography, Emission-Computed, Single-Photon-
dc.titleA three-dimensional second-derivative surface-detection algorithm for volume determination on SPECT images.en
dc.typeArticleen
dc.contributor.departmentNorth Western Medical Physics Department, Christie Hospital NHS Trust, Manchester, UK.en
dc.identifier.journalPhysics in Medicine and Biologyen

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