Harmonic Motion Imaging for Abdominal Tumor Detection and High-Intensity Focused Ultrasound Ablation Monitoring: An In Vivo Feasibility Study in a Transgenic Mouse Model of Pancreatic Cancer

Abstract-Harmonic motion imaging (HMI) is a radiationforce-based elasticity imaging technique that tracks oscillatory tissue displacements induced by sinusoidal ultrasonic radiation force to assess the resulting oscillatory displacement denoting the underlying tissue stiffness. The objective of this study was to evaluate the feasibility of HMI in pancreatic tumor detection and high-intensity focused ultrasound (HIFU) treatment monitoring. The HMI system consisted of a focused ultrasound transducer, which generated sinusoidal radiation force to induce oscillatory tissue motion at 50 Hz, and a diagnostic ultrasound transducer, which detected the axial tissue displacements based on acquired radio-frequency signals using a 1-D cross-correlation algorithm. For pancreatic tumor detection, HMI images were generated for pancreatic tumors in transgenic mice and normal pancreases in wild-type mice. The obtained HMI images showed a high contrast between normal and malignant pancreases with an average peak-to-peak HMI displacement ratio of 3.2. Histological analysis showed that no tissue damage was associated with HMI when it was used for the sole purpose of elasticity imaging. For pancreatic tumor ablation monitoring, the focused ultrasound transducer was operated at a higher acoustic power and longer pulse length than that used in tumor detection to simultaneously induce HIFU thermal ablation and oscillatory tissue displacements, allowing HMI monitoring without interrupting tumor ablation. HMI monitoring of HIFU ablation found significant decreases in the peak-to-peak HMI displacements before and after HIFU ablation with a reduction rate ranging from 15.8% to 57.0%. The formation of thermal lesions after HIFU exposure was confirmed by histological analysis. This study demonstrated the feasibility of HMI in abdominal tumor detection and HIFU ablation monitoring

High-Reliability Trigate Poly-Si Channel Flash Memory Cell With Si-Nanocrystal Embedded Charge-Trapping Layer

Abstract-This letter introduces a polycrystalline-silicon nanowire (NW) thin-film nonvolatile memory (NVM) with a self-assembled silicon-nanocrystal (Si-NC) embedded chargetrapping (CT) layer. This process is simple and compatible with conventional CMOS processes. Experimental results indicate that this NW NVM exhibits high reliability due to a deep-quantum-well structure and immunity of enhanced electric field underneath a disk-shaped Si-NC. After 10 000 P/E cycles, the memory window loss of the NVM with a Si-NC embedded CT layer is less than 12% until 10 4 s at 150 • C. Accordingly, a poly-Si thin-film transistor with a Si-NC embedded CT layer is highly promising for NVM applications. Index Terms-Nanocrystal (NC), nonvolatile memory (NVM), thin-film transistor (TFT)

Running Title: Fingerprint Matching Based on Global Comprehensive Similarity

This paper introduces a novel algorithm based on global comprehensive similarity with three steps. To describe the Euclidean space–based relative features among minutiae, we first build a minutia-simplex that contains a pair of minutiae as well as their associated textures, with its transformation-variant and invariant relative features employed for the comprehensive similarity measurement and parameter estimation respectively. By the second step, we use the ridge-based nearest neighbourhood among minutiae to represent the ridge-based relative features among minutiae. With these ridge-based relative features, minutiae are grouped according to their affinity with a ridge. The Euclidean space-based and ridge-based relative features among minutiae reinforce each other in the representation of a fingerprint. Finally, we model the rela-tionship between transformation and the comprehensive similarity between two fingerprints in terms of histogram for initial parameter estimation. Through these steps, our experiment shows that the method mentioned above is both effective and suitable for limited memory AFIS owing to its less than 1k byte template size. Key words: Fingerprint identification; ridge-based nearest neighbourhood among minutiae; relative feature; minutia-simplex 2 1