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Magnetic Resonance Images for Diagnosis

tipo de documento ODA-Objeto Digital de Aprendizaje

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Magnetic Resonance Images for Diagnosis

Ficha resumen

Descripción:

Through a virtual scenario, the aim is to make the students familiarise themselves with magnetic resonances for diagnosis. To make them able to know and apply the protocols established to perform this treatment and to be able to work in an MR image data bank to recognise and identify in the studies of anatomic regions their projections, planes and cross-sections, localisation of anatomic structures and their structural ratio.

Orientación didáctica:

TEACHING GOALS: GENERAL: To identify in MR multiplanar images: To recognise, name and position, identifying laterality, joints and bones which constitute: upper limb, lower limb, chest cage, spine column, skull and face. To recognise, name and position, identifying laterality, the organs and structures that are in the: thoracic cavity, abdominal cavity, pelvic cavity, spinal cord and breast. To identify in the MR image the anatomic region of interest, image plane, cross-sections and type of sequence. SPECIFIC CONCEPTUAL: To understand the relationships existing between the systems that compose the anatomic structures of the human body. To relate the anatomic structures of the human body which take part in the movement and the postural attitude with the locomotor and postural function. To know the human anatomic structures for endocrine and nervous regulation, in relation to the functionality of each system. To identify the recorded anatomic structures that are part of the different systems of the human body: thorax, abdomen, heart, skull, lumbosacral spine and spine column. To identify the most relevant pathologies in: tumour masses, cysts, haemorrages, breaking of soft tissues, strokes, aneurysms, intracraneal or in the heart, the large arterial vessels, in the spine or vertebral disks, in the glands and abdominal organs, as well as in the soft structures of joints and muscles. To choose the most significant images that have to be exposed on the radiographic film for radiotherapy treatments. SPECIFIC PROCEDURAL: To have an overall view of the different processes of graphic records with equipment for computerised processing of MR images, to obtain images for the diagnosis. To understand the centring, planning and exploration operations performed for the different anatomic regions. To apply the knowledge of MR image in the treatment simulation and planning procedures in Radiotherapy. To relate MR images with projections and positions of the patient in Radiotherapy simulators. To explain the process of image identification in the monitor, relating it to the methodology to choose the most significant images that have to be exposed on radiographic film. SPECIFIC ATTITUDINAL: To put the student in front of new situations for him, since it is implicit in the random nature of the data generation. To encourage team work. To strengthen the bases of work organisation, both in time allocation and in work distribution. To encourage the students to assume responsibility for the tasks entrusted to them. To accustom the students to work with great amounts of data. To educate the students in the organisation of the information, both written and in computer files. To encourage the willingness to self-learning. To encourage the students to look for exactness and quality in the job. To show resistance to stress, balanced state of mind and self-control. To identify unforeseen problems and contingencies. To act quickly and independently to solve unforeseen events. To solve problems and make decisions within the scope of their area of responsibility, consulting about those decisions when necessary due to their repercussions.

Licencia:
creative commons: reconocimiento - no comercial - compartir igual
Descripción licencia:

The use of these contents is universal, free of charge and open, as long as it is for educational, non-commercial purposes. The actions, products and utilities derived from its use may not, as a result, generate any kind of profit. Likewise, it is mandatory to cite the source

Destinatario:
alumno
público en general
docente
Contexto:
aula
independiente
lugar mixto

General

Idioma:
inglés
Palabras clave: anatomy Image Identification Plane Contrast Antenna Localisation Magnetic Resonance Pathology Position Projection Routine sequence
Ambito: Universal
Estructura:
en red
Nivel de agregación:
Objeto de Aprendizaje
Nodo:
URL repositorio: /repositorio/12072010/49/es_2010071262_9110616
IMS Manifest Descargar fichero

Técnica

Formato:
audio/mpeg
image/gif
image/jpeg
text/xml
image/tiff
video/x-fly
application/x-shockwave-flash
Tamaño: 72065169
Tipo requerimiento:
navegador
Nombre requerimiento:
cualquiera
Tipo requerimiento:
sistema operativo
Nombre requerimiento:
multi-os
Consideraciones instalación:

Does not require installation

Otros requisitos plataforma:

The system supports ONLINE visualisation (it requires the latest plug-in flash (flash 9) for the browser, recommending IE 6 or 7 or Firefox. RAM memory: 512 MB or higher (1 GB recommended). Processor: 1.5 GHz (XP), 2-GHz (Vista) 32-bit (x86) or higher (dual core recommended). Resolution: 1024 * 768 (adapted to the resolution as long as the aspect ratio is 1:333, 800x600, 1024x768, 1280x960)

Uso Educativo

Tipo recurso educativo:
simulación
Tipo interacción:
activo
Nivel interacción:
muy alto
Densidad semántica:
alta
Edad: Minimun age: 16 years
Dificultad:
difícil
Tiempo aprendizaje: Learning time is of 18 hours.
Idioma educativo:
inglés
Proceso cognitivo:
analizar
decidir
evaluarse
reflexionar
simular
comunicar

Derechos

Coste licencia:
no
Tipo acceso:
universal
Descripción acceso:

es_cnice_20080623,es_{nodo}_20080923,es_clm_20091103121523455,es_murcia_20080422121523455,es_valencia_20081215,es_contenidos_20080623,es_castillayleon_201002241811,es_baleares_200907131205,es_canarias_20090114,es_aragon_20080930,es_larioja_20081107,es_cantabria_20081215,es_euskadi_20100423,es_extremadura_20090126,es_navarra_20090202,es_andalucia_20090324

Clasificación

Mapa Conceptual: Magnetic Resonance Images for Diagnosis

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Fecha publicación: 30.3.2015

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