Biological processes are very complex mechanisms, most
of them being accompanied by or manifested as signals
that reflect their essential characteristics and qualities. The
development of diagnostic techniques based on signal and
image acquisition from the human body is commonly retained
as one of the propelling factors in the advancements
in medicine and biosciences recorded in the recent past.
It is a fact that the instruments used for biological signal
and image recording, like any other acquisition system,
are affected by non-idealities which, by different degrees,
negatively impact on the accuracy of the recording. This
work discusses how it is possible to attenuate, and ideally
to remove, these effects, with a particular attention toward
ultrasound imaging and extracellular recordings.
Original algorithms developed during the Ph.D. research
activity will be examined and compared to ones in literature
tackling the same problems; results will be drawn on the
base of comparative tests on both synthetic and in-vivo
acquisitions, evaluating standard metrics in the respective
field of application. All the developed algorithms share an
adaptive approach to signal analysis, meaning that their
behavior is not dependent only on designer choices, but
driven by input signal characteristics too.
Performance comparisons following the state of the art
concerning image quality assessment, contrast gain estimation
and resolution gain quantification as well as visual
inspection highlighted very good results featured by the
proposed ultrasound image deconvolution and restoring
algorithms: axial resolution up to 5 times better than algorithms
in literature are possible. Concerning extracellular
recordings, the results of the proposed denoising technique
compared to other signal processing algorithms pointed
out an improvement of the state of the art of almost 4 dB.
| Identifer | oai:union.ndltd.org:unibo.it/oai:amsdottorato.cib.unibo.it:1122 |
| Date | 10 April 2008 |
| Creators | Testoni, Nicola <1980> |
| Contributors | Masetti, Guido |
| Publisher | Alma Mater Studiorum - Università di Bologna |
| Source Sets | Università di Bologna |
| Language | English |
| Detected Language | English |
| Type | Doctoral Thesis, PeerReviewed |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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