Essays about: "magnetisk resonanstomografi"

Showing result 11 - 15 of 23 essays containing the words magnetisk resonanstomografi.

1. 11. T2 Mapping Compared to Standard MRI Assessment : An Assessment of the Knee Cartilage on Distal Femur

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Jennie Andersson; [2019]
   Keywords : MRI; T2-mapping; articular cartilage; distal femur; knee; MR; T2-mapping; ledbrosk; distala lårbenet; knä;

   Abstract : Magnetic resonance imaging (MRI) has become the most important modality for assessment of pathological changes in the knee cartilage. The assessment of the cartilage is usually made by a set of anatomical MRI images with different sequences. READ MORE

3. 12. Correction of Radial Sampling Trajectories by Modeling Nominal Gradient Waveforms and Convolving with Gradient Impulse Response Function

   University essay from KTH/Medicinteknik och hälsosystem

   Author : Max Kim; Adham Belbaisi; [2019]
   Keywords : Magnetic resonance imaging; MRI; gradient waveforms; radial sampling; gradient imperfections; gradient impulse response function; GIRF; Magnetresonanstomografi; MRI; gradient vågformer; radiell sampling; gradient imperfektioner; gradient impulsresponsfunktion; GIRF;

   Abstract : There are several reasons for using non-Cartesian k-space sampling methods in Magnetic Resonance Imaging (MRI). Such a method is radial sampling, which includes the advantage of continuous coverage of the k-space center which results in higher robustness to motion. READ MORE

4. 13. PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Beichen Chen; Amy Jinxin Chen; [2019]
   Keywords : Bipolar disorder; diagnosis; computer-aided medical diagnosis; SVM; Support vector machine; PCA; Principal component analysis; dimensionality reduction; feature reduction; neuroimaging; MRI; sMRI; machine learning; classification; psychiatric disorders; mental illness; Bipolär sjukdom; diagnotisering; datorstödd medicinsk diagnotisering; SVM; stödvektormaskin; PCA; principalkomponentanalys; MRI; magnetisk resonanstomografi; MRT; dimensionalitetsreduktion; maskininlärning; dimensionsreduktion; klassificering; psykiska sjukdomar;

   Abstract : This study aims to investigate how dimensionality reduction of neuroimaging data prior to training support vector machines (SVMs) affects the classification accuracy of bipolar disorder. This study uses principal component analysis (PCA) for dimensionality reduction. READ MORE

5. 14. Classification of Healthy and Alzheimer's Patients Using Electroencephalography and Supervised Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ramtin Javanmardi; Dawood Rehman; [2018]
   Keywords : EEG; Alzheimer s; Machine learning; Supervised machine learning; Spectral power; Feature extraction; Support vector machine; svm; knn; lda;

   Abstract : Alzheimer’s is one of the most costly illnesses that exists today and the number of people with alzheimers diease is expected to increase with 100 million until the year 2050. The medication that exists today is most effective if Alzheimer’s is detected during early stages since these medications do not cure Alzheimer’s but slows down the progression of the disease. READ MORE

6. 15. A comparison of classification accuracy between MRI and PET datasets in computer aided diagnosis of Alzheimer's disease

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Gustav Kjellberg; Henrik Kälvegren; [2018]
   Keywords : ;

   Abstract : The number of people suffering from Alzheimer’s disease (AD) is expected to increase rapidly in the coming years. Diagnosing the disease early is key to giving those affected a chance to maintain a higher quality of life. One of the most common ways to detect AD is to visually inspect scans of the patients’ brains. READ MORE