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1,291 results on '"ARORA, SANDEEP"'

54. Multisite, multivendor validation of the accuracy and reproducibility of proton‐density fat‐fraction quantification at 1.5T and 3T using a fat–water phantom

Author

Hernando, Diego, Sharma, Samir D, Ghasabeh, Mounes Aliyari, Alvis, Bret D, Arora, Sandeep S, Hamilton, Gavin, Pan, Li, Shaffer, Jean M, Sofue, Keitaro, Szeverenyi, Nikolaus M, Welch, E Brian, Yuan, Qing, Bashir, Mustafa R, Kamel, Ihab R, Rice, Mark J, Sirlin, Claude B, Yokoo, Takeshi, and Reeder, Scott B

Subjects
Engineering, Biomedical Engineering, Biomedical Imaging, Adipose Tissue, Body Water, Equipment Design, Equipment Failure Analysis, Magnetic Resonance Imaging, Phantoms, Imaging, Protons, Reproducibility of Results, Sensitivity and Specificity, fat quantification, chemical shift-encoded, protondensity fat-fraction, phantom, multicenter, quantitative imaging biomarker, nonalcoholic fatty liver disease, proton-density fat-fraction, Nuclear Medicine & Medical Imaging, Biomedical engineering
Abstract

PurposeTo evaluate the accuracy and reproducibility of quantitative chemical shift-encoded (CSE) MRI to quantify proton-density fat-fraction (PDFF) in a fat-water phantom across sites, vendors, field strengths, and protocols.MethodsSix sites (Philips, Siemens, and GE Healthcare) participated in this study. A phantom containing multiple vials with various oil/water suspensions (PDFF:0%-100%) was built, shipped to each site, and scanned at 1.5T and 3T using two CSE protocols per field strength. Confounder-corrected PDFF maps were reconstructed using a common algorithm. To assess accuracy, PDFF bias and linear regression with the known PDFF were calculated. To assess reproducibility, measurements were compared across sites, vendors, field strengths, and protocols using analysis of covariance (ANCOVA), Bland-Altman analysis, and the intraclass correlation coefficient (ICC).ResultsPDFF measurements revealed an overall absolute bias (across sites, field strengths, and protocols) of 0.22% (95% confidence interval, 0.07%-0.38%) and R2  > 0.995 relative to the known PDFF at each site, field strength, and protocol, with a slope between 0.96 and 1.02 and an intercept between -0.56% and 1.13%. ANCOVA did not reveal effects of field strength (P = 0.36) or protocol (P = 0.19). There was a significant effect of vendor (F = 25.13, P = 1.07 × 10-10 ) with a bias of -0.37% (Philips) and -1.22% (Siemens) relative to GE Healthcare. The overall ICC was 0.999.ConclusionCSE-based fat quantification is accurate and reproducible across sites, vendors, field strengths, and protocols. Magn Reson Med 77:1516-1524, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Published
2017

55. Eyes: The windows to the detection of leukemia relapse

Author

Desai, Abhishek, Arora, Sandeep, Naigaonkar, Rushikesh, and Sonpethkar, Mahesh

Subjects
Diseases -- Relapse, Health
Abstract

Byline: Abhishek. Desai, Sandeep. Arora, Rushikesh. Naigaonkar, Mahesh. Sonpethkar A 38-year-old woman presented with sudden painless diminution of vision in the left eye (OS) (1/60) and normal vision in the [...]

Published
2023

65. Improving protocols and miner strategies for modern cryptocurrencies

Author

Akcora, Cuneyt (Computer Science), Arora, Sandeep (Marketing), Deters, Ralph (University of Saskatchewan), Thulasiram, Ruppa, Kamali, Shahin, Quinteiro dos Santos, Saulo, Akcora, Cuneyt (Computer Science), Arora, Sandeep (Marketing), Deters, Ralph (University of Saskatchewan), Thulasiram, Ruppa, Kamali, Shahin, and Quinteiro dos Santos, Saulo

Abstract

Bitcoin, envisioned as a decentralized currency, facilitates secure micro-payments through a distributed consensus and ensures security via its widespread network. However, prioritizing security and decentralization imposes constraints on performance. My thesis explores strategies to boost the blockchain's throughput and performance alongside improving miners' financial incentives. We analyze the effects of increasing block size on throughput and security and how strategic transaction selection by miners before mining can elevate fee collection. We introduce a novel transaction-selection strategy that produces high-quality blocks more efficiently by avoiding traditional sorting and examining the benefits of regularly updating transaction sets to maximize fees. Additionally, we assess the Lightning Network's impact on reducing blockchain load and transaction costs and its potential to lower miners' fee revenues and profits. This study balances the Lightning Network's adoption and integration with third-layer applications to mitigate transaction migration from the blockchain. This thesis contributes to blockchain scalability and efficiency, presenting new transaction selection and block formation strategies that enhance network performance and miners' incentives. It also navigates the economic implications of the Lightning Network, offering a nuanced view of its effects on the blockchain ecosystem.

Published
2024

90. Metastatic Diseases

Author

Arora, Sandeep, primary, Behl, Tapan, additional, Singh, Sukhbir, additional, Sharma, Neelam, additional, and Gupta, Saurabh, additional

Published
2021
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95. BH3 Mimetics

Author

Arora, Sandeep, primary, Singh, Sukhbir, additional, and Sharma, Neelam, additional

Published
2021
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