TY - GEN
T1 - Highly precise partial volume correction for PET images
T2 - 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
AU - Xu, Ziyue
AU - Bagci, Ulas
AU - Gao, Mingchen
AU - Mollura, Daniel J.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/21
Y1 - 2015/7/21
N2 - Positron emission tomography (PET) is capable of capturing the functional information. A major limitation for PET imaging is the low spatial resolution, leading to partial volume effects (PVE). PVE introduces significant bias to the image quantification, causing compromised measurement for uptake regions, especially smaller ones. For quantitative PET, accurate uptake values are critical for diagnostic evaluation and treatment planning. Therefore, a partial volume correction (PVC) technique is highly desirable in order to avoid size-dependent underestimation for true activities. In this paper, we present a new iterative PVC approach for PET images. The proposed method uses the state-of-the-art simultaneous delineation and noise removal algorithm to estimate the local uptake regions. The delineation is further utilized for weighted PVC with regard to a shape consistency measurement. The process is performed iteratively until delineation convergence. Qualitative and quantitative results demonstrate that the proposed framework successfully corrects the PVE and preserves local structures.
AB - Positron emission tomography (PET) is capable of capturing the functional information. A major limitation for PET imaging is the low spatial resolution, leading to partial volume effects (PVE). PVE introduces significant bias to the image quantification, causing compromised measurement for uptake regions, especially smaller ones. For quantitative PET, accurate uptake values are critical for diagnostic evaluation and treatment planning. Therefore, a partial volume correction (PVC) technique is highly desirable in order to avoid size-dependent underestimation for true activities. In this paper, we present a new iterative PVC approach for PET images. The proposed method uses the state-of-the-art simultaneous delineation and noise removal algorithm to estimate the local uptake regions. The delineation is further utilized for weighted PVC with regard to a shape consistency measurement. The process is performed iteratively until delineation convergence. Qualitative and quantitative results demonstrate that the proposed framework successfully corrects the PVE and preserves local structures.
KW - Affinity Propagation
KW - Partial Volume Correction
KW - Positron Emission Tomography
KW - Regional Means
KW - Shape Consistency
UR - http://www.scopus.com/inward/record.url?scp=84944324711&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84944324711&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2015.7164087
DO - 10.1109/ISBI.2015.7164087
M3 - Conference contribution
AN - SCOPUS:84944324711
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1196
EP - 1199
BT - 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PB - IEEE Computer Society
Y2 - 16 April 2015 through 19 April 2015
ER -