Volume 33, Issue 2

Statistical analysis of motion patterns of body joints is potentially useful for detecting and quantifying pathologies. However, building a statistical motion model across different subjects remains a challenging task, especially for a complex joint like the wrist. We present a novel framework for simultaneous registration and segmentation of multiple 3-D (CT or MR) volumes of different subjects a...

身体关节运动模式的统计分析对于检测和量化病理具有潜在价值。然而，在不同个体之间建立统计运动模型仍然是一项具有挑战性的任务，特别是对于像手腕这样的复杂关节。我们提出了一种新颖的框架，用于同时配准和分割不同个体的多个三维（CT或MR）容积数据...

A hybrid method for tissue imaging using dielectric and elastic properties is proposed and investigated with simple bi-layered breast model. In this method, local harmonic motion is generated in the tissue using a focused ultrasound probe. A narrow-band microwave signal is transmitted to the tissue. The Doppler component of the scattered signal, which depends on the dielectric and elastic properti...

提出了一种利用介电和弹性特性进行组织成像的混合方法，并使用简单的双层乳房模型进行了研究。在该方法中，使用聚焦超声探头在组织中产生局部谐波运动。将窄带微波信号传输到组织。散射信号的多普勒分量取决于介电和弹性特性...

Here, we present an innovative imaging technology for breast cancer using gamma-ray stimulated spectroscopy based on the nuclear resonance fluorescence (NRF) technique. In NRF, a nucleus of a given isotope selectively absorbs gamma rays with energy exactly equal to one of its quantized energy states, emitting an outgoing gamma ray with energy nearly identical to that of the incident gamma ray. Due...

在这里，我们提出了一种基于核共振荧光（NRF）技术的伽马射线受激光谱学的创新乳腺癌成像技术。在NRF中，给定同位素的原子核选择性地吸收能量恰好等于其量化能级之一的伽马射线，并发射出能量与入射伽马射线几乎相同的伽马射线。由于...

The interpolation of missing spatial frequencies through the generalized auto-calibrating partially parallel acquisitions (GRAPPA) parallel magnetic resonance imaging (MRI) model implies a correlation is induced between the acquired and reconstructed frequency measurements. As the parallel image reconstruction algorithms in many medical MRI scanners are based on the GRAPPA model, this study aims t...

通过广义自校准部分并行采集（GRAPPA）并行磁共振成像（MRI）模型对缺失空间频率进行插值，意味着在采集和重建的频率测量值之间引入了相关性。由于许多医用MRI扫描仪中的并行图像重建算法基于GRAPPA模型，本研究旨在...

Nonrigid image registration techniques using intensity based similarity measures are widely used in medical imaging applications. Due to high computational complexities of these techniques, particularly for volumetric images, finding appropriate registration methods to both reduce the computation burden and increase the registration accuracy has become an intensive area of research. In this paper,...

基于强度相似度量的非刚性图像配准技术在医学成像应用中广泛使用。由于这些技术的高计算复杂性，特别是对于三维图像，寻找既能减少计算负担又能提高配准精度的适当配准方法已成为一个密集的研究领域。在本文中，...

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