乳房成像无边缘PET原型的设计和第一个实验结果:DeepBreast。

IF 3.2 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Marta Freire, Santiago Jiménez-Serrano, Andrea Gonzalez-Montoro, Francisco B García, José F Toledo, Julio Barberá, Jorge Álamo, Irene Torres-Espallardo, Luis F Vidal, Francis Loignon-Houle, Carlos de Alfonso, Sara Echegoyen, María J Rodríguez-Álvarez, Filomeno Sánchez, Antonio J González
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引用次数: 0

摘要

背景:乳腺癌是全世界妇女癌症相关死亡人数最多的疾病。为了提高正电子发射断层扫描(PET)技术对乳腺癌的准确诊断和分期,我们提出了一种基于具有固有相互作用深度(DOI)能力的单片晶体和创新的无边缘检测环的系统设计。这种方法消除了PET检测器之间的物理间隙,提高了系统检测效率,同时由于边缘效应的减少,潜在地提高了图像质量。我们已经开发了一个专用的乳房PET系统原型(DeepBreast)来展示该设计的可行性。该系统由14个12.5 mm厚的弯曲LYSO单片闪烁体与高折射率化合物并排粘合而成。该系统的有用的跨轴和轴向视场(FOV)分别为160毫米和50毫米。利用神经网络技术对x光子和y光子的碰撞位置进行估计。使用Voronoi校准方法确定影响DOI和能量值。受NEMA全身和小动物PET扫描仪协议的启发,DeepBreast系统进行了初步实验评估。结果:获得的空间分辨率随径向位置的变化近似平坦,表明系统具有缓解视差误差的能力。轴向视场中心径向、切向和轴向的平均空间分辨率分别为1.9±0.1 mm、1.9±0.1 mm和1.7±0.1 mm。在视场中心测得最大灵敏度值为2%。在13.4 MBq时,噪声等效计数率峰值达到15 kcps。此外,对于更大的专用IQ幻影的4.5 mm、6 mm、9 mm、12 mm、15 mm和20 mm圆柱体,对比度分别达到27.9%、28.8%、56.8%、72.5%、87.2%和84.2%。结论:初步实验结果证明了DeepBreast作为一种创新的乳腺癌PET扫描仪的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and first experimental results of an edgeless PET prototype for breast imaging: DeepBreast.

Background: Breast cancer causes the largest number of cancer-related deaths among women worldwide. With the aim of improving Positron Emission Tomography (PET) technology for accurate breast cancer diagnosis and staging, we propose a system design based on monolithic crystals with inherent Depth of Interaction (DOI) capabilities and an innovative edgeless detector ring. This approach eliminates the physical gaps between PET detectors, improving the system detection efficiency while potentially enhancing the image quality since edge effects are reduced. We have developed a dedicated breast PET system prototype (DeepBreast) to show the feasibility of this design. The system is composed of 14 curved LYSO monolithic scintillators of 12.5 mm thickness glued side-by-side with a high-refractive index compound. The useful transaxial and axial Field of View (FOV) of the system are 160 mm and 50 mm, respectively. A Neural Network technique was used for the x- and y- photon impact position estimation. The impact DOI and energy values were determined using the Voronoi calibration methodology. An initial experimental evaluation of the DeepBreast system has been performed inspired by the NEMA protocols for whole-body and small-animals PET scanners.

Results: A nearly flat spatial resolution as a function of radial position was obtained, which indicates the DOI capability of the system to mitigate parallax errors. An average spatial resolution of 1.9 ± 0.1 mm, 1.9 ± 0.1 mm and 1.7 ± 0.1 mm FWHM was achieved at the center of the axial FOV for the radial, tangential, and axial directions, respectively. A maximum sensitivity value of 2% was measured at the center of the FOV. The noise equivalent count rate peak reached 15 kcps at 13.4 MBq. Moreover, percent contrast values of 27.9%, 28.8%, 56.8%, 72.5%, 87.2% and 84.2% were achieved for 4.5 mm, 6 mm, 9 mm, 12 mm, 15 mm and 20 mm cylinders of a larger dedicated IQ phantom, respectively.

Conclusions: The initial experimental results demonstrate the feasibility of the DeepBreast as an innovative PET scanner for breast cancer imaging.

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来源期刊
EJNMMI Physics
EJNMMI Physics Physics and Astronomy-Radiation
CiteScore
6.70
自引率
10.00%
发文量
78
审稿时长
13 weeks
期刊介绍: EJNMMI Physics is an international platform for scientists, users and adopters of nuclear medicine with a particular interest in physics matters. As a companion journal to the European Journal of Nuclear Medicine and Molecular Imaging, this journal has a multi-disciplinary approach and welcomes original materials and studies with a focus on applied physics and mathematics as well as imaging systems engineering and prototyping in nuclear medicine. This includes physics-driven approaches or algorithms supported by physics that foster early clinical adoption of nuclear medicine imaging and therapy.
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