Essays about: "Image registration"
Showing result 36 - 40 of 110 essays containing the words Image registration.
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36. Implementation and Evaluation of a Variety of Image Stitching Methods
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Image stitching includes image registration and image merging. Image registration can be categorized into area based, frequency based, feature based, and—a recent addition—learning-based methods. As it is not straightforward to assess stitching accuracy, a metric is adopted for measuring stitching error. READ MORE
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37. Towards non-invasive Gleason grading of prostate cancer using diffusion weighted MRI
University essay from Umeå universitet/Institutionen för fysikAbstract : Prostate cancer is one of the most common cancer diagnosis in men. This project aimed to help in characterization and treatment planning of prostate cancer by producing a Gleason grading probability based on apparent diffusion coefficient (ADC). READ MORE
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38. Deep Learning Based Deformable Image Registration of Pelvic Images
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Deformable image registration is usually performed manually by clinicians,which is time-consuming and costly, or using optimization-based algorithms, which are not always optimal for registering images of different modalities. In this work, a deep learning-based method for MR-CT deformable image registration is presented. READ MORE
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39. Impact of tractogram filtering and graph creation for structural connectomics in subjects with mild cognitive impairment
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : One particular challenge of brain connectomics deals with inferring differences in the brain due to diseases such as Alzheimer's. More specifically, structural connectomics aims at investigating the connectivity between regions in the brain based on the distribution of neuronal fibers. READ MORE
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40. The Potential of Intra-fraction Monitoring of Patient Anatomy Using a Parameterized Motion Model
University essay from Umeå universitet/Institutionen för fysikAbstract : Radiotherapy aims to strike a tumour with high accuracy, but anatomic changes and internal organ motion introduce uncertainties and therefore large margins are conventionally used to compensate for this. The MR-Linac will enable target tracking prior to and during treatment which will make daily adjustments of a treatment plan possible. READ MORE