High resolution image reconstruction method for a double-plane PET system with changeable spacing

  • Breast-dedicated positron emission tomography(PET) imaging techniques have been developed in recent years. Their capacities to detect millimeter-sized breast tumors have been the subject of many studies. Some of them have been confirmed with good results in clinical applications. With regard to biopsy application, a double-plane detector arrangement is practicable, as it offers the convenience of breast immobilization. However, the serious blurring effect of the double-plane PET, with changeable spacing for different breast sizes, should be studied. We investigated a high resolution reconstruction method applicable for a double-plane PET. The distance between the detector planes is changeable. Geometric and blurring components were calculated in real-time for different detector distances, and accurate geometric sensitivity was obtained with a new tube area model. Resolution recovery was achieved by estimating blurring effects derived from simulated single gamma response information. The results showed that the new geometric modeling gave a more finite and smooth sensitivity weight in the double-plane PET. The blurring component yielded contrast recovery levels that could not be reached without blurring modeling, and improved visual recovery of the smallest spheres and better delineation of the structures in the reconstructed images were achieved with the blurring component. Statistical noise had lower variance at the voxel level with blurring modeling at matched resolution, compared to without blurring modeling. In distance-changeable double-plane PET, finite resolution modeling during reconstruction achieved resolution recovery, without noise amplification.
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Xiao-Yue Gu, Wei Zhou, Lin Li, Long Wei, Peng-Fei Yin, Lei-Min Shang, Ming-Kai Yun, Zhen-Rui Lu and Xian-Chao Huang. High resolution image reconstruction method for a double-plane PET system with changeable spacing[J]. Chinese Physics C, 2016, 40(5): 058201. doi: 10.1088/1674-1137/40/5/058201
Xiao-Yue Gu, Wei Zhou, Lin Li, Long Wei, Peng-Fei Yin, Lei-Min Shang, Ming-Kai Yun, Zhen-Rui Lu and Xian-Chao Huang. High resolution image reconstruction method for a double-plane PET system with changeable spacing[J]. Chinese Physics C, 2016, 40(5): 058201.  doi: 10.1088/1674-1137/40/5/058201 shu
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Received: 2015-07-27
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    Supported by Knowledge Innovation Project of The Chinese Academy of Sciences(KJCX2-EW-N06)

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High resolution image reconstruction method for a double-plane PET system with changeable spacing

    Corresponding author: Xiao-Yue Gu,
  • 1. Key Laboratory of Nuclear Radiation and Nuclear Energy Technology, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
  • 2. Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing 100049, China
Fund Project:  Supported by Knowledge Innovation Project of The Chinese Academy of Sciences(KJCX2-EW-N06)

Abstract: Breast-dedicated positron emission tomography(PET) imaging techniques have been developed in recent years. Their capacities to detect millimeter-sized breast tumors have been the subject of many studies. Some of them have been confirmed with good results in clinical applications. With regard to biopsy application, a double-plane detector arrangement is practicable, as it offers the convenience of breast immobilization. However, the serious blurring effect of the double-plane PET, with changeable spacing for different breast sizes, should be studied. We investigated a high resolution reconstruction method applicable for a double-plane PET. The distance between the detector planes is changeable. Geometric and blurring components were calculated in real-time for different detector distances, and accurate geometric sensitivity was obtained with a new tube area model. Resolution recovery was achieved by estimating blurring effects derived from simulated single gamma response information. The results showed that the new geometric modeling gave a more finite and smooth sensitivity weight in the double-plane PET. The blurring component yielded contrast recovery levels that could not be reached without blurring modeling, and improved visual recovery of the smallest spheres and better delineation of the structures in the reconstructed images were achieved with the blurring component. Statistical noise had lower variance at the voxel level with blurring modeling at matched resolution, compared to without blurring modeling. In distance-changeable double-plane PET, finite resolution modeling during reconstruction achieved resolution recovery, without noise amplification.

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