Complexity Reduction in Image-Based Breast Cancer Care
|Other Titles:||Komplexitaetsreduktion in der bildbasierten Brustkrebsversorgung||Authors:||Harz, Markus||Supervisor:||Peitgen, Heinz-Otto||1. Expert:||Peitgen, Heinz-Otto||2. Expert:||Hahn, Horst Karl||Abstract:||
The diversity of malignancies of the breast requires personalized diagnostic and therapeutic decision making in a complex situation. This thesis contributes in three clinical areas: (1) For clinical diagnostic image evaluation, computer-aided detection and diagnosis of mass and non-mass lesions in breast MRI is developed. 4D texture features characterize mass lesions. For non-mass lesions, a combined detection/characterisation method utilizes the bilateral symmetry of the breast s contrast agent uptake. (2) To improve clinical workflows, a breast MRI reading paradigm is proposed, exemplified by a breast MRI reading workstation prototype. Instead of mouse and keyboard, it is operated using multi-touch gestures. The concept is extended to mammography screening, introducing efficient navigation aids. (3) Contributions to finite element modeling of breast tissue deformations tackle two clinical problems: surgery planning and the prediction of the breast deformation in a MRI biopsy device.
|Keywords:||breast cancer, computer aided detection, machine learning, complexity, finite element model, human computer interface||Issue Date:||16-Sep-2014||URN:||urn:nbn:de:gbv:46-00104007-15||Institution:||Universität Bremen||Faculty:||FB3 Mathematik/Informatik|
|Appears in Collections:||Dissertationen|
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