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Molecular breast tomosynthesis with scanning focus multi-pinhole cameras

机译:扫描聚焦多针孔相机进行分子乳房断层合成

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摘要

Planar molecular breast imaging (MBI) is rapidly gaining in popularity in diagnostic oncology. To add 3D capabilities, we introduce a novel molecular breast tomosynthesis (MBT) scanner concept based on multi-pinhole collimation. In our design, the patient lies prone with the pendant breast lightly compressed between transparent plates. Integrated webcams view the breast through these plates and allow the operator to designate the scan volume (e.g. a whole breast or a suspected region). The breast is then scanned by translating focusing multi-pinhole plates and NaI(Tl) gamma detectors together in a sequence that optimizes count yield from the volume-of-interest. With simulations, we compared MBT with existing planar MBI. In a breast phantom containing different lesions, MBT improved tumour-to-background contrast-to-noise ratio (CNR) over planar MBI by 12% and 111% for 4.0 and 6.0 mm lesions respectively in case of whole breast scanning. For the same lesions, much larger CNR improvements of 92% and 241% over planar MBI were found in a scan that focused on a breast region containing several lesions. MBT resolved 3.0 mm rods in a Derenzo resolution phantom in the transverse plane compared to 2.5 mm rods distinguished by planar MBI. While planar MBI cannot provide depth information, MBT offered 4.0 mm depth resolution. Our simulations indicate that besides offering 3D localization of increased tracer uptake, multi-pinhole MBT can significantly increase tumour-to-background CNR compared to planar MBI. These properties could be promising for better estimating the position, extend and shape of lesions and distinguishing between single and multiple lesions.
机译:平面分子乳腺成像(MBI)在诊断肿瘤学中迅速普及。为了增加3D功能,我们引入了一种基于多针孔准直的新型分子乳房断层合成(MBT)扫描仪概念。在我们的设计中,病人俯卧在悬挂在透明板之间的悬垂乳房。集成的网络摄像头可通过这些平板查看乳房,并允许操作员指定扫描体积(例如整个乳房或可疑区域)。然后,通过按顺序优化聚焦多针孔板和NaI(Tl)伽马探测器对乳房进行扫描,以优化感兴趣体积的计数产量。通过仿真,我们将MBT与现有的平面MBI进行了比较。在包含不同病变的乳腺模型中,对于整个乳房扫描,MBT相对于4.0 MB和6.0 mm病变,相对于平面MBI的肿瘤与背景对比度/噪声比(CNR)分别提高了12%和111%。对于相同的病变,在聚焦于包含多个病变的乳房区域的扫描中,发现与平面MBI相比,CNR的改善幅度更大,分别为92%和241%。与以平面MBI区分的2.5 mm杆相比,MBT在横向平面上以Derenzo分辨率体模解析了3.0 mm杆。虽然平面MBI无法提供深度信息,但MBT提供了4.0 mm的深度分辨率。我们的模拟表明,与平面MBI相比,除了提供3D定位增加的示踪剂摄取量外,多针孔MBT还可以显着增加肿瘤至背景的CNR。这些特性有望更好地估计病变的位置,范围和形状,并区分单个病变和多个病变。

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