Imagem por ressonância magnética: princípios básicos

Hage, Maria Cristina Ferrarini Nunes Soares; Iwasaki, Masao

doi:10.1590/s0103-84782009005000041

Cited by 22 publications

(33 citation statements)

References 9 publications

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“…This makes the nuclei of many atoms in the body including hydrogen, are aligned with the magnetic field and then an RF signal is applied. The energy released from the patient‘s body is detected and used to construct computer image ,. Contrast agents are used to increase the contrast of the image ,…”

Section: Introductionmentioning

confidence: 99%

Structure‐Based Virtual Screening and Synthesis of Mn²⁺ Complexes of Benzothiazole Derivatives for Designing New MRI Probes

et al. 2019

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Benzothiazole derivatives are highly selective and an antitumor therapeutic in vitro and in vivo, highlighting the compound 2-(4'-aminophenyl) benzothiazole (ABT), which exhibits nanomolar concentration activity in vitro against some human breast cancer cells in humans. In this work, we designed new contrast agents based on the structural modification of ABT by complexing them with manganese in order to obtain para-magnetic complexes for efficient diagnosis of breast cancer. The new agents were evaluated by docking studies that allowed investigating interactions and the mode of connection between the active site of the enzyme and the compounds studied. The theoretical and experimental results both indicate that Compound 57 is a promising contrast agent.

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Section: Introductionmentioning

confidence: 99%

Structure‐Based Virtual Screening and Synthesis of Mn²⁺ Complexes of Benzothiazole Derivatives for Designing New MRI Probes

et al. 2019

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“…O contraste nas imagens se baseia na diferença de intensidade do sinal em áreas de estruturas ou de composição diferentes. A capacidade de obtenção de imagens multiplanares e a ausência de radiação ionizante tornaram a ressonância magnética a técnica de geração de imagens mais adequada para muitas doenças, em especial as do sistema nervoso central (SNC) por causa do seu abundante conteúdo hídrico, portanto, rico em prótons de hidrogênio, responsáveis pelo sinal gerado durante a obtenção de imagens (Lufkin 1999, Hilário et al 2000, Amaral et al 2003, Mullins 2006, Hage & Iwasaki 2009.…”

Section: Introductionunclassified

“…Outros fatores importantes a serem consolidados para quem almeja interagir com essa metodologia de imagem, são a compreensão da formação da imagem e o conhecimento da anatomia da cabeça em cortes seccionais. Recentemente foi publicada uma revisão da literatura sobre os princípios básicos dessa modalidade de imagem de uma forma assimilável para não físicos (Hage & Iwasaki 2009).…”

Section: Introductionunclassified

Imagem por ressonância magnética na investigação da cabeça de cães

et al. 2010

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ABSTRACT.-Hage M.C.F.N.S., Iwasaki M., Rabbani S.R., Kamikawa L., Cervantes H.J.R., Bombonato P.P., Sterman F. Magnetic resonance imaging (MRI) is the most sensitive method of diagnostic imaging to evaluate soft tissues, specially the brain, however it is expensive. The method is based on the nuclear magnetic resonance phenomenon that occurs when atomic nucleus with magnetic proprieties in the body are submitted to a strong magnetic field, and excited with radio frequency generating a radio frequency signal captured by a receptive antenna. The signal is processed by Fourier Transform for the image formation. This study had the objective to obtain 10 complete exams of heads in cadavers of normal dogs to MRI and to make an Atlas of head structures. The images were obtained with a magnetic resonance unit Gyroscan S15/HP Philips using a magnetic field of 1,5Tesla. The cadavers were positioned with the head into a human head coil and submitted to sagittal slices used to plan transverse and dorsal slices in T1, T2 and DP spin-echo sequences. In T1 we adjusted TR=400ms and TE=30ms, in T2 TR=2000ms and TE=80ms and in DP TR=2000ms and TE=30ms. The slice thickness was 4mm, the number of averages 2, the matrix 256x256, the factor 1,0 and the field of view 14cm. The duration of the complete exam of the head was 74,5minutes. The images obtained with the described sequences and with the human head coil was of good quality. In T1 fat was hyperintense and fluid was hypointense. In T2 fat was less hyperintense and fluid was hyperintense. The cortical bone and the air were hypointense in all sequences used because of the low proton density. The DP sequence showed the best contrast between white and gray matter when compared with T2 and T1 sequences. Distinction of cerebral sulcus and gyrus was possible because T2 showed the cerebrospinal fluid. The identification of bone structures that compound the region, muscles, main venous and arterial vessels and structures of the central nervous system, besides elements of the digestory and respiratory systems and structures of the eyes among others was possible through contrast obtained with MRI. In this study the MRI acquired in T1, DP and T2 were complementary for the anatomic study of the head and been able to demonstrate the structures of the canine head with rich anatomic details. The time used to 1 Recebido em 29 de novembro de 2009. Aceito para publicação em 24 de fevereiro de 2010.

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“…The nuclear magnetic resonance phenomenon, discovered in 40's, [1][2][3] describes magnetic properties of nuclei that in the presence of an external magnetic field, tend to align to it. When excited, applying radio waves, those nuclei are moved from the equilibrium.…”

Section: Introductionmentioning

confidence: 99%

“…Then, returning to their equilibrium state, they oscillate also emitting radio frequency that induces an eletromotriz force in a perpendicular coil to the main field. 1,3,4 This signal is then acquired and processed, and the information about the nuclei and their environment can be extracted. The magnetic resonance technique main advantage is the fact that it is noninvasive and does not produce any harmful radiation over the object of study.…”

Section: Introductionmentioning

confidence: 99%

PyMR: a framework for programming magnetic resonance systems

Pizetta¹,

Tannús²

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Carlos , 2018. In recent years, the use of magnetic resonance technology has grown with advances in hardware, delivering accessible and small-size equipment and devices that open a range of new applications. Innovation in this field requires versatility and flexibility of both hardware and software. Despite the technological advances in the magnetic resonance hardware, the software still the most notable problem currently. This stagnation, delays progress that could reduce production costs and deliver faster development. Researchers in this field are unsatisfied with currently available options. In this panorama, we seek the enhancement of our specific framework for programming magnetic resonance systems, employing concepts from the areas of computing, engineering, and physics. This setup allows the software to merge different perceptions, causing it to be flexible and robust. We converged to Python and object-oriented programming to offer the Python Magnetic Resonance framework -PyMR.The PyMR includes graphical interfaces from templates that can be filled with data, requiring no programming. Our framework comprises other programming tools such as our plugin for the Spyder IDE, which creates the perfect environment to create systems and the pulse sequences. Also, a user-friendly magnetic resonance simulator MR SPRINT, derived from the PyMR structure, addresses educational use, exposing the whole experiment construction, setup, and visualization. Including, PyMR has been contributing to new challenging magnetic resonance systems, introducing modern concepts to change the actual scenario the researchers are facing when developing new magnetic resonance systems. São Paulo, São Carlos, 2018. Nos últimos anos, o uso da tecnologia de ressonância magnética cresceu com os avanços em hardware, fornecendo equipamentos e dispositivos acessíveis e de pequeno porte que abrem uma série de novas aplicações. Inovações neste campo requerem versatilidade e flexibilidade de hardware e software. Apesar dos avanços tecnológicos no hardware de ressonância magnética, o software ainda é um dos maiores problemas atualmente. Essa estagnação atrasa o progresso que poderia reduzir os custos de produção e proporcionar um desenvolvimento mais rápido. Além disso, pesquisadores neste campo estão insatisfeitos com as opções atualmente disponíveis. Com este panorama, buscamos o aprimoramento de nosso framework para programação de sistemas de ressonância magnética, empregando conceitos das áreas de computação, engenharia e física. Essa configuração permite que o software mescle visões de diferentes meios, fazendo com que a estrutura seja flexível e robusta. Nós convergimos, então, para a linguagem Python e programação orientada a objetos para oferecer o framework Python Magnetic Resonance -PyMR. O PyMR inclui interfaces gráficas a partir de modelos que podem ser preenchidos com dados, sem a necessidade de programação. Nossa estrutura compreende outras ferramentas de programação, como o nosso plugin para o Spyder IDE, que cria o ambiente perfeit...

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Imagem por ressonância magnética: princípios básicos

Cited by 22 publications

References 9 publications

Structure‐Based Virtual Screening and Synthesis of Mn²⁺ Complexes of Benzothiazole Derivatives for Designing New MRI Probes

Structure‐Based Virtual Screening and Synthesis of Mn²⁺ Complexes of Benzothiazole Derivatives for Designing New MRI Probes

Imagem por ressonância magnética na investigação da cabeça de cães

PyMR: a framework for programming magnetic resonance systems

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Imagem por ressonância magnética: princípios básicos

Cited by 22 publications

References 9 publications

Structure‐Based Virtual Screening and Synthesis of Mn2+ Complexes of Benzothiazole Derivatives for Designing New MRI Probes

Structure‐Based Virtual Screening and Synthesis of Mn2+ Complexes of Benzothiazole Derivatives for Designing New MRI Probes

Imagem por ressonância magnética na investigação da cabeça de cães

PyMR: a framework for programming magnetic resonance systems

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Product

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Structure‐Based Virtual Screening and Synthesis of Mn²⁺ Complexes of Benzothiazole Derivatives for Designing New MRI Probes

Structure‐Based Virtual Screening and Synthesis of Mn²⁺ Complexes of Benzothiazole Derivatives for Designing New MRI Probes