Effect of Scan Time on Oncologic Lesion Detection in Whole-Body PET

被引:33
作者
Kadrmas, Dan J. [1 ]
Oktay, M. Bugrahan [1 ]
Casey, Michael E. [2 ]
Hamill, James J. [2 ]
机构
[1] Univ Utah, Dept Radiol, UCAIR, Salt Lake City, UT 84108 USA
[2] Siemens Med Solut USA, Knoxville, TN 37932 USA
关键词
Image quality; positron emission tomography; OF-FLIGHT; MODEL OBSERVERS; NUMERICAL OBSERVERS; MAP RECONSTRUCTION; TUMOR-DETECTION; DETECTION TASK; ROC; PERFORMANCE; DETECTABILITY; IMPACT;
D O I
10.1109/TNS.2012.2197414
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Lesion-detection performance in oncologic PET depends in part upon count statistics, with shorter scans having higher noise and reduced lesion detectability. However, advanced techniques such as time-of-flight (TOF) and point spread function (PSF) modeling can improve lesion detection. This work investigates the relationship between reducing count levels (as a surrogate for scan time) and reconstructing with PSF model and TOF. A series of twenty-four whole-body phantom scans was acquired on a Biograph mCT TOF PET/CT scanner using the experimental methodology prescribed for the Utah PET Lesion Detection Database. Six scans were acquired each day over four days, with up to 23 Ge-68 shell-less lesions (diam. 6, 8, 10, 12, 16 mm) distributed throughout the phantom thorax and pelvis. Each scan acquired 6 bed positions at 240 s/bed in listmode format. The listmode files were then statistically pruned, preserving Poisson statistics, to equivalent count levels for scan times of 180 s, 120 s, 90 s, 60 s, 45 s, 30 s, and 15 s per bed field-of-view, corresponding to whole-body scan times of 1.5-24 min. Each dataset was reconstructed using ordinary Poisson line-of-response (LOR) OSEM, with PSF model, with TOF, and with PSF+TOF. Localization receiver operating characteristics (LROC) analysis was then performed using the channelized non-prewhitened (CNPW) observer. The results were analyzed to delineate the relationship between scan time, reconstruction method, and strength of post-reconstruction filter. Lesion-detection performance degraded as scan time was reduced, and progressively stronger filters were required to maximize performance for the shorter scans. PSF modeling and TOF were found to improve detection performance, but the degree of improvement for TOF was much larger than for PSF for the large phantom used in this study. Notably, the images using TOF provided equivalent lesion-detection performance to the images without TOF for scan durations 40% shorter, suggesting that TOF may offset, at least in part, the need for longer scan times in larger patients.
引用
收藏
页码:1940 / 1947
页数:8
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