• 四川大學華西醫(yī)院核醫(yī)學科（成都，610041）;

【摘要】　目的　 研究兩種不同的衰減系數轉換方法對正電子發(fā)射計算機斷層顯像/計算機體層掃描（PET/CT） 標準攝取值（SUV）測量值的影響。　方法　 2009年11-12月，從經過PET/CT氟代脫氧葡萄糖（FDG）顯像患者中選取20例，其口腔中均有金屬假牙。以四段轉換法和二段轉換法重建全身衰減校正斷層圖像。分別選取3種高密度區(qū)域和7種低密度區(qū)域，測量其最大SUV和平均SUV，比較兩種轉換方法SUV測量值。　結果　 平均SUV：二段轉換法的3種高密度區(qū)域SUV降低，在7種低密度區(qū)域中，1種區(qū)域增高，1種區(qū)域降低（P值均 lt;0.05）。最大SUV：二段轉換法的2種高密度區(qū)域的SUV降低，在7種低密度區(qū)域中，1種區(qū)域增高，2種靠近高密度組織的區(qū)域降低（P值均 lt;0.05）。　結論　 二段轉換法能降低高密度區(qū)域的SUV，可用于減小體內金屬植入物和CT對比劑造成的過度校正。
【Abstract】　Objective　 To explore the effect of two attenuation correction algorithms on PET/CT SUV measurement.　Methods　 From November to December 2009, the PET Slice of 20 patients with metallic dental implant were reconstructed with four-and two-section algorithms respectively. Mean SUV and maximum SUV were measured in three high-density areas and 7 low-density areas. Paired t test were performed to compare the differences.　Results　 Mean SUV: two-section algorithm produced significantly lower SUV in all the three high-density areas; in the 7 low-density areas, SUV increased obviously in one area and decreased apparently in one area (P lt;0.05). Maximum SUV: two-section algorithm produced significantly lower SUV in two high-density areas, SUV increased obviously in one area and decreased apparently in two areas which was adjacent to the high density areas (P lt;0.05).　Conclusion　 Two-section algorithm produces lower SUV measurement value than the four-section algorithm does, and it is useful in PET/CT studies for patients with metallic dental implant and when CT contrast is used.

引用本文： 楊曉川,周綠漪. PET/CT衰減系數轉換方法對標準攝取值測量的影響研究. 華西醫(yī)學, 2010, 25(11): 2052-2054. doi: 復制

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  1. 1. 　Kamel EM, Burger C, Buck A, et al. Impact of metallic dental implants on CT-based attenuation correction in a combined PET/CT scanner[J]. Eur Radiol, 2003, 13(4): 724-728.
  2. 2. 　Beyer T, Kinahan PE, Townsend DW, et al. The use of X-ray CT for attenuation correction of PET data// In Proceedings of the 1994 IEEE Nuclear Science Symposium and Medical Imaging Conference, Trendler RC[C]. Norfolk, VA, USA, 1994: 1573-1577.
  3. 3. 　Kinahan PE, Hasegawa BH, Beyer T. Xray-based attenuation correction for positron emission tomography/computed tomography scanners[J]. Semin Nucl Med, 2003, 33(6): 166-179.
  4. 4. 　Kinahan PE, Townsend DW, Beyer T, et al. Attenuation correction for a combined 3D PET/CT scanner[J]. Med Phys, 1998, 25(10): 2046-2053.
  5. 5. 　Bai C, Shao L, Da Silva AJ, et al. A generalized model for the conversion from CT numbers to linear attenuation coefficients[J]. IEEE Trans Nucl Sci, 2003, 50(5): 1510-1515.
  6. 6. 　Guy MJ, Castellano-Smith IA, Flower MA, et al. DETECT-dual energy transmission estimation CT-for improved attenuation correction in SPECT and PET[J]. IEEE Trans Nucl Sci, 1998(6), 45: 1261-1267.
  7. 7. 　Bai C, Tung C, Kolthammer J, et al. CT-based attenuation correction in PET image reconstruction for the Gemini system[J]. IEEE Nuclear Science Symposium Conference Record, 2003, (5): 3082-3086.
  8. 8. 　Nakae Y, Sakamoto K, Minamoto T, et al. Clinical evaluation of a newly developed method for avoiding artifacts caused by dental fillings on X-ray CT[J]. Radiol Phys Technol, 2008(1): 115-122.