A task-based evaluation of PEM detector element size |
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| Affiliation: | 1. Center for Advanced Imaging, Department of Radiology, West Virginia University, Morgantown (WV, USA);2. Thomas Jefferson National Accelerator Facility, Newport News (VA, USA);1. Department of Radiation Convergence Engineering, Yonsei University, Wonju 220-710, Republic of Korea;2. Department of Bio-convergence Engineering, Korea University, Seoul 136-701, Republic of Korea;3. Molecular Imaging Research Center, Korea Institute of Radiological and Medical Science, Seoul 139-706, Republic of Korea;4. Nucare Medical System, Inc., Incheon 406-840, Republic of Korea;1. School of Automation and Electrical Engineering, University of Science & Technology Beijing, Beijing 100083, China;2. Department of Engineering Physics, Tsinghua University, Beijing 100084, China;3. Department of Radiation Oncology, China-Japan Friendship Hospital, Beijing 100029, China;1. Department of Radiology, University of Michigan, Ann Arbor, MI 48109-5610, USA;2. Department of Physics, Ohio State University, Columbus, OH, USA;3. Jožef Stefan Institute, Ljubljana, Slovenia;4. IFIC/CSIC University of Valencia, Valencia, Spain;5. CERN, Geneva, Switzerland;1. Institute for Solid State Electronics, Technical University Vienna, A-1040 Vienna, Austria;2. Macalester College, Department of Physics & Astronomy, St. Paul, MN 55105, USA;3. Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA 93106, USA;1. Central Aerological Observatory, Pervomayskaya Str. 3, Dolgoprudny, 141700 Moscow Region, Russia;2. Lebedev Physical Institute, Russian Academy of Science, Moscow, Russia |
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| Abstract: | Positron Emission Mammography (PEM) is a planar imaging method that utilizes arrays of discrete detector elements for the detection of radiotracer-avid breast cancer. In this investigation we have systematically studied, through computer simulations, the effect of detector element size (width and length) on breast lesion detection and localization tasks. The contrast-to-noise ratios of the spheres simulating breast lesions were calculated as a function of detector element dimension to gauge detectability. System resolution (fwhm) across the field-of-view was used as the metric for the localization task. For both tasks, individual detector elements of lyso with cross sectional dimensions of 2×2 mm (96×72 element arrays, step 2.1mm) and 3×3mm (65×49 element arrays, step 3.1 mm), and lengths of 10,15 and 20 mm were simulated. The results revealed that narrower pixel dimensions reduced the partial volume effect, while the thicker pixels increased pixel sensitivity, thus reducing noise per pixel and increasing the contrast-to-noise ratio. |
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