A novel approach for multimodality loco-regional robot-assisted biosensing
Başlık çevirisi mevcut değil.
- Tez No: 401303
- Danışmanlar: DR. NIKOLAOS V. TSEKOS
- Tez Türü: Doktora
- Konular: Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Computer Engineering and Computer Science and Control
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2012
- Dil: İngilizce
- Üniversite: University of Houston
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 114
Özet
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Özet (Çeviri)
Molecular, near-cellular, and high resolution imaging modalities offer new op-portunities in assessing tissue pathophysiology in situ. Such modalities often have low tissue penetration, which is often the case with optical methods or low signal detection sensitivity, as in Magnetic Resonance (MR) methods. Therefore, in order to translate molecular modalities eventually into clinical practice, minimally invasive trans-cannula approaches have been introduced to position limited field-of-view (limited-FOV) sensors locally at the area of interest. In addition, an imaging modality with a wide field-of-view (wide-FOV) is used to guide this positioning. This work presents an approach for scanning the tissue with limited-FOV sensors and co-registering their signals with the wide-FOV images by means of a computer-controlled actuated ma-nipulator. We demonstrate this approach in two stages. In the first stage, using our first prototype manipulator, we use two MR modalities: the proton MR spectra collected with a miniature radiofrequency (RF) coil, and the MR images acquired with a volume RF coil. In the second stage, we improve the prototype manipulator and demonstrate the manipulator-assisted multimodality loco-regional biosensing by integrating an op-tical sensor for light-induced fluorescence (LIF) emission spectroscopy and a micro-coil for localized proton magnetic resonance spectroscopy (MRS).The core of the system is scanning with the limited-FOV sensors to collect lo-co-regional multimodal data. We develop the abovementioned system and principles, and test the system on phantoms with known boundaries that can simulate the physical and chemical structure of tissue boundaries with pathologic and non-pathologic nature. Experimental studies, with limited-FOV modalities on multi compartment phantoms, demonstrate a clear spatial separation of different biochemical profiles, in agreement with the scout-guiding MR images. With the appropriate combination of sensors, this method may allow the assessment of tissue pathophysiology in vivo. Furthermore, due to the co-registered collection of data, no computationally expensive co-registration algorithms are necessary.
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