TY - JOUR
T1 - Local validation of the use of Evolution for Bone for bone SPECT imaging
AU - Ashton, Ceri E.
AU - Doyle, Susan C.
AU - Redman, Stewart
AU - Graham, Richard
AU - Taylor, Gordon J.
AU - Evans, Martyn J.
PY - 2015/9
Y1 - 2015/9
N2 - Purpose In order to locally validate the technique, a retrospective review of a cohort of randomly selected single-photon emission computed tomography (SPECT) bone scans reconstructed with ordered subsets expectation maximization (OSEM) and Evolution for Bone was undertaken. Materials and methods Thirty consecutive bone SPECT patient data sets (17 spine, nine pelvis, and four spine and pelvis) were chosen. Poisson resampling was used to simulate reduced count data at 50, 75, and 100% of the original number of counts. Evolution for Bone applied resolution recovery to the reduced count images. All images were compared with the original OSEM images, currently used as the standard for clinical use. A qualitative blinded assessment was made by two independent observers, who assessed for noise, contrast, and resolution. Results Both radiologists saw an improvement in resolution (P=0.776), noise (P=0.007), and image quality with all data sets, compared with images processed purely with OSEM and viewed in Volumetrix. However, they completely disagreed on contrast, as the two radiologists scored contrast differently; however, the results are understandable. Conclusion Images with 50, 75, and 100% of the original counts viewed using Evolution for Bone have improved image quality compared with images processed purely with OSEM and viewed in Volumetrix. Evolution for Bone therefore has great potential in departments for reducing either patient doses, waiting lists, or both.
AB - Purpose In order to locally validate the technique, a retrospective review of a cohort of randomly selected single-photon emission computed tomography (SPECT) bone scans reconstructed with ordered subsets expectation maximization (OSEM) and Evolution for Bone was undertaken. Materials and methods Thirty consecutive bone SPECT patient data sets (17 spine, nine pelvis, and four spine and pelvis) were chosen. Poisson resampling was used to simulate reduced count data at 50, 75, and 100% of the original number of counts. Evolution for Bone applied resolution recovery to the reduced count images. All images were compared with the original OSEM images, currently used as the standard for clinical use. A qualitative blinded assessment was made by two independent observers, who assessed for noise, contrast, and resolution. Results Both radiologists saw an improvement in resolution (P=0.776), noise (P=0.007), and image quality with all data sets, compared with images processed purely with OSEM and viewed in Volumetrix. However, they completely disagreed on contrast, as the two radiologists scored contrast differently; however, the results are understandable. Conclusion Images with 50, 75, and 100% of the original counts viewed using Evolution for Bone have improved image quality compared with images processed purely with OSEM and viewed in Volumetrix. Evolution for Bone therefore has great potential in departments for reducing either patient doses, waiting lists, or both.
KW - bone
KW - image quality
KW - resolution recovery
KW - single-photon emission computed tomography
UR - http://www.scopus.com/inward/record.url?scp=84938802901&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1097/MNM.0000000000000343
U2 - 10.1097/MNM.0000000000000343
DO - 10.1097/MNM.0000000000000343
M3 - Article
AN - SCOPUS:84938802901
SN - 0143-3636
VL - 36
SP - 941
EP - 944
JO - Nuclear Medicine Communications
JF - Nuclear Medicine Communications
IS - 9
ER -