Browsing by Author "Liu, Shuang"

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    DeepSPIO: Super Paramagnetic Iron Oxide Particle Quantification using Deep Learning in Magnetic Resonance Imaging
    (2020) della Maggiora Valdés, Gabriel Eugenio; Milovic Fabregat, Carlos Andrés; Qiu, Wenqi; Liu, Shuang; Milovic Fabregat, Carlos Andres; Sekino, Masaki; Tejos Nunez, Cristian Andres; Uribe Arancibia, Sergio A.; Irarrazaval Barros, Pablo
    The susceptibility of Super Paramagnetic Iron Oxide (SPIO) particles makes them a useful contrast agent for different purposes in MRI. These particles are typically quantified with relaxometry or by measuring the inhomogeneities they produced. These methods rely on the phase, which is unreliable for high concentrations. We present in this study a novel Deep Learning method to quantify the SPIO concentration distribution. We acquired the data with a new sequence called View Line in which the field map information is encoded in the geometry of the image. The novelty of our network is that it uses residual blocks as the bottleneck and multiple decoders to improve the gradient flow in the network. Each decoder predicts a different part of the wavelet decomposition of the concentration map. This decomposition improves the estimation of the concentration, and also it accelerates the convergence of the model. We tested our SPIO concentration reconstruction technique with simulated images and data from actual scans from phantoms. The simulations were done using images from the IXI dataset, and the phantoms consisted of plastic cylinders containing agar with SPIO particles at different concentrations. In both experiments, the model was able to quantify the distribution accurately.
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    MRI Pulse Sequence for Quantifying Magnetic Nanoparticles From Highly Distorted Static Field: View Line
    (2024) Liu, Shuang; Qiu, Wenqi; Della Maggiora, Gabriel; Kuwahata, Akihiro; Irarrazaval, Pablo; Sekino, Masaki
    In order to use magnetic resonance imaging (MRI) as a quantification tool for pre-clinical research involving high concentrations of magnetic nanoparticles (MNPs), a static field map can serve as the basis for subsequent quantitative analysis. However, the magnetic fields generated by high concentrations of MNPs can cause failure in conventional field mapping techniques. This study introduces a novel sequence for producing static field maps. This method has been demonstrated through the acquisition of 7T-MRI data and simulation data for ferucarbotran with a range of iron concentration from 27.9 to 3.48 mu g/mu L. The reconstructed interpolated field map and the theoretical field map showed a high degree of similarity, with a normalized mean error of 23.85% for phantom experiments and 12.02% for animal experiments using a rat. The quantification of the MNP concentration was also satisfactory, particularly considering that it was performed in areas, where the signal is completely lost.
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    The case for simplifying and using absolute targets for viral hepatitis elimination goals
    (2021) Razavi, Homie; Blach, Sarah; Razavi-Shearers, Devin; Abaalkhail, Faisal; Abbas, Zaigham; Abdallah, Ayat; Ferreira, Paulo Abrao; Abu Raddad, Laith Jamal; Adda, Danjuma; Agarwal, Kosh; Aghemo, Alessio; Ahmed, Aijaz; Al-Busafi, Said A.; Al-hamoudi, Waleed; Al-Kaabi, Saad; Al-Romaihi, Hamad; Aljarallah, Badr; AlNaamani, Khalid; Alqahtani, Saleh; Alswat, Khalid; Altraif, Ibrahim; Asselah, Tarik; Bacon, Bruce; Bessone, Fernando; Bizri, Abdul Rahman; Block, Tim; Bonino, Ferruccio; BranclaoMello, Carlos Eduardo; Browny, Kimberly; Bruggmann, Philip; Brunetto, Maurizia Rossana; Buti, Maria; Cabezas, Joaquin; Calleja, Jose Luis; Batanjer, Erika Castro; Chan, Henry Lik-Yuen; Chang, Henry; Chen, Chien-Jen; Christensen, Peer Brehm; Chuang, Wan-Long; Cisneros, Laura; Cohen, Chari; Colombo, Massimo; Conway, Brian; Cooper, Curtis; Craxi, Antonio; Crespo, Javier; Croes, Esther; Cryer, Donna; de Barros, Fernando Passos Cupertino; Derbala, Moutaz; Dillon, John; Doss, Wahid; Dou, Xiaoguang; Doyle, Joseph; Duberg, Ann-Sofi; Dugan, Ellen; Dunn, Rick; Dusheiko, Geoffrey; El Khayat, Hisham; EI-Sayed, Manal H.; Eshraghian, Ahad; Esmat, Gamal; Mur, Rafael Esteban; Ezzat, Sameera; Falconer, Karolin; Fassio, Eduardo; Ferrinho, Paulo; Flamm, Steven; Flisiak, Robert; Foster, Graham; Fung, James; Garcia-Samaniego, Javier; Gish, Robert G.; Goncales, Fernando; Halota, Waldemar; Hamoudi, Waseem; Hassany, Mohamed; Hatzakis, Angelos; Hay, Susan; Himatt, Sayed; Hoepelman, I. M.; Hsu, Yao-Chun; Hui, Yee Tak; Hunyady, Bela; Jacobson, Ira; Janjua, Naveed; Janssen, Harry; Jarcuska, Peter; Kabagambe, Kenneth; Kanto, Tatsuya; Kao, Jia-Horng; Kaymakoglu, Sabahattin; Kershenobich, David; Khamis, Faryal; Kim, Dong Joon; Kim, Young; Kondili, Loreta A.; KottiliI, Shyamasundaran; Kramvis, Anna; Kugelmas, Marcelo; Kurosaki, Masayuki; Lacombe, Karine; Lagging, Martin; Lao, WaiCheung; Lavanchy, Daniel; Lazarus, Jeffrey, V; Lee, Alice; Lee, Samual S.; Levyl, Miriam; Liakina, Valentina; Lim, YoungSuk; Liu, Shuang; Maddrey, Willis; Malekzade, Reza; Marinho, Rui Tato; Mathur, Poonam; Maticic, Mojca; Mendes Correa, Maria Cassia; Mera, Jorge; Merat, Shahin; Mogawer, Sherif; Mohamed, Rosmawati; Muellhaupti, Beat; Muljono, David; Mostafa, Ibrahim; Nahum, Mendez Sanchez; Nawaz, Arif; Negro, Francesco; Ninburg, Michael; Ning, Qing; Ntiri-Reid, Boatemaa; Nymadawa, Pagbajabyn; Oevrehus, Anne; Ormeci, Necati; Orrego, Mauricio; Osman, Alaa; Oyunsuren, Tsendsuren; Pant, Calvin; Papaevangelou, Vassiliki; Papatheodoridis, George; Popping, Stephanie; Prasad, Papu; Prithiviputh, Rittoo; Qureshi, Huma; Ramji, Alnoor; Razavi-Shearer, Kathryn; Reddy, Rajender; Remak, William; Richter, Clemens; Ridruejo, Ezequiel; Robaeys, Geert; Robert, Stuart; Roberts, Lewis; Roudot-Thoraval, Francoise; Saab, Sammy; Said, Sanaa; Salamat, Amjad; Sanai, Faisal; Sanchez-Avila, Juan Francisco; Schiff, Eugene; Schinazi, Raymond; Sebastiani, Giada; Seguin-Devaux, Carole; Shanmugam, R. P.; Sharara, Ala; Shilton, Sonjelle; Shouval, Daniel; Sievert, William; Simonova, Marieta; Sohrabpour, Amir Ali; Sonderup, Mark; Soza, Alejandro; Spearman, C. Wendy; Steinfurth, Nancy; Sulkowski, Mark; Tan, Soek-Siam; Tanaka, Junko; Tashi, Dhondup; Thein, Hla-Hla; Thompson, Peyton; Tolmane, Ieva; Toy, Mehlika; Valantinas, Jonas; Van de Vijver, David; Velez-Moller, Patricia; Vince, Adriana; Waked, Imam; Wang, Su; Wedemeyer, Heiner; Wong, Vincent; Xie, Qing; Yamada, Seiji; Yang, Hwai-, I; Yesmembetov, Kakharman; Yilmaz, Yusuf; Younossi, Zobair; Yu, Ming-Lung; Yuen, Man-Fung; Yurdaydin, Cihan; Yusuf, Aasim; Zekry, Amany; Zeuzem, Stefan
    The 69th World Health Assembly endorsed the Global Health Sector Strategy for Viral Hepatitis, embracing a goal to eliminate hepatitis infection as a public health threat by 2030. This was followed by the World Health Organization's (WHO) global targets for the care and management of hepatitis B virus (HBV) and hepatitis C virus (HCV) infections. These announcements and targets were important in raising awareness and calling for action; however, tracking countries' progress towards these elimination goals has provided insights to the limitations of these targets. The existing targets compare a country's progress relative to its 2015 values, penalizing countries who started their programmes prior to 2015, countries with a young population, or countries with a low prevalence. We recommend that (1) WHO simplify the hepatitis elimination targets, (2) change to absolute targets and (3) allow countries to achieve these disease targets with their own service coverage initiatives that will have the maximum impact. The recommended targets are as follows: reduce HCV new chronic cases to <= 5 per 100 000, reduce HBV prevalence among 1-year-olds to <= 0.1%, reduce HBV and HCV mortality to <= 5 per 100 000, and demonstrate HBV and HCV year-to-year decrease in new HCV- and HBV-related HCC cases. The objective of our recommendations is not to lower expectations or diminish the hepatitis elimination standards, but to provide clearer targets that recognize the past and current elimination efforts by countries, help measure progress towards true elimination, and motivate other countries to follow suit.