Doctoral Defense by Tassilo Klein
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Statistical Image Processing of Medical Ultrasound Radio Frequency Data
Abstract: In this thesis various methods are investigated on how to take advantage of medical ultrasound radio frequency (RF) data. RF data is the signal from which in the processing pipeline of ultrasound machines the commonly known B-mode image is generated. The comparably high resolution and the raw signal characteristics make RF data attractive for statistical image processing. In this respect, focus is devoted to the applications of correct spatial alignment of US data referred to as registration. At first methods are presented within the 2D domain, addressing issues such as textural and probabilistic description. Later this is expanded to 3D US freehand data and its reconstruction with a particular view on transcranial scans that are recorded for early diagnosis of Parkinson's disease.| WebEventForm | |
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| Title: | PhD? Defense of Tassilo Klein: Statistical Image Processing of Medical Ultrasound Radio Frequency Data |
| Date: | 18 December 2012 |
| Location: | Room 02.13.010, FMI-Building, Garching, Boltzmannstr. 3 |
| Abstract: | In this thesis various methods are investigated on how to take advantage of medical ultrasound radio frequency (RF) data. RF data is the signal from which in the processing pipeline of ultrasound machines the commonly known B-mode image is generated. The comparably high resolution and the raw signal characteristics make RF data attractive for statistical image processing. In this respect, focus is devoted to the applications of correct spatial alignment of US data referred to as registration. At first methods are presented within the 2D domain, addressing issues such as textural and probabilistic description. Later this is expanded to 3D US freehand data and its reconstruction with a particular view on transcranial scans that are recorded for early diagnosis of Parkinson's disease. |
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| Type: | News |
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