Matches in SemOpenAlex for { <https://semopenalex.org/work/W99151489> ?p ?o ?g. }
Showing items 1 to 57 of
57
with 100 items per page.
- W99151489 abstract "Mouse models of cancer are an invaluable tool for studying the mechanism of the disease and the effect of new therapies. Recent years have seen an explosive growth in the development of such models and consequently there is an increased need for better imaging techniques to study them. The goal of this work was to develop a technique that satisfied the requirements for preclinical cancer imaging: high spatial resolution, good soft tissue differentiation, excellent motion immunity, fast and non-invasive imaging to enable high-throughput, longitudinal studies. T2-weighted and diffusion-weighted magnetic resonance imaging (MRI) has been shown to be effective for tumor characterization clinically. But translation of these techniques to the mouse is challenging. The higher spatial resolution and faster physiologic motion make conventional approaches very susceptible to phase artifacts. Additionally, at higher magnetic fields required for these studies, T * 2 and T2 are significantly shorter and T1 is longer, making in vivo imaging even harder. A rigorous cancer imaging protocol was developed by optimizing and integrating various components of the system, including MR hardware, animal handling, and pulse sequence design to achieve reliable, repeatable and rapid imaging. The technique presented here relies heavily on the non-Cartesian sampling strategy of PROPELLER (Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction) MRI. The novel data acquisition and reconstruction overcomes the adverse effects of physiological motion, allows for rapid setup and acquisition and provides excellent tissue contrast. The sequence was optimized to enable T2-weighted and diffusion-weighted imaging in tumor-bearing mice with in-plane resolution of 117μm and slice thickness of 1mm. Multi-slice datasets covering the entire thorax and abdomen were acquired in ∼30 minutes. The imaging protocol developed here was applied to a high-throughput, longitudinal study in a mouse model of liver metastases. The liver is a common site of distal metastases in colon and rectal cancer, and if detected early has an improved prognosis. Unfortunately, severe respiratory motion make it hard to image. The relative merits of the proposed PROPELLER technique were analyzed with respect to the accepted gold-standard for abdominal cancer imaging, computed tomography (CT). The non-Cartesian MR microscopy technique proposed here is a valuable tool in the “Cancer analysis toolkit”. It allows for high-throughput, longitudinal experiments in free-breathing mice generating both structural and functional information with minimal artifacts and excellent spatial resolution. This work should find broad applications in various mouse models of cancer for studying the pathology of the disease, its progression as well as its response to treatment." @default.
- W99151489 created "2016-06-24" @default.
- W99151489 creator A5035353556 @default.
- W99151489 date "2010-01-01" @default.
- W99151489 modified "2023-09-26" @default.
- W99151489 title "Non-Cartesian MR Microscopy for Cancer Imaging in Small Animals" @default.
- W99151489 hasPublicationYear "2010" @default.
- W99151489 type Work @default.
- W99151489 sameAs 99151489 @default.
- W99151489 citedByCount "0" @default.
- W99151489 crossrefType "dissertation" @default.
- W99151489 hasAuthorship W99151489A5035353556 @default.
- W99151489 hasConcept C126838900 @default.
- W99151489 hasConcept C136229726 @default.
- W99151489 hasConcept C143409427 @default.
- W99151489 hasConcept C149550507 @default.
- W99151489 hasConcept C154945302 @default.
- W99151489 hasConcept C2779010991 @default.
- W99151489 hasConcept C31972630 @default.
- W99151489 hasConcept C41008148 @default.
- W99151489 hasConcept C71924100 @default.
- W99151489 hasConceptScore W99151489C126838900 @default.
- W99151489 hasConceptScore W99151489C136229726 @default.
- W99151489 hasConceptScore W99151489C143409427 @default.
- W99151489 hasConceptScore W99151489C149550507 @default.
- W99151489 hasConceptScore W99151489C154945302 @default.
- W99151489 hasConceptScore W99151489C2779010991 @default.
- W99151489 hasConceptScore W99151489C31972630 @default.
- W99151489 hasConceptScore W99151489C41008148 @default.
- W99151489 hasConceptScore W99151489C71924100 @default.
- W99151489 hasLocation W991514891 @default.
- W99151489 hasOpenAccess W99151489 @default.
- W99151489 hasPrimaryLocation W991514891 @default.
- W99151489 hasRelatedWork W1502576955 @default.
- W99151489 hasRelatedWork W159153197 @default.
- W99151489 hasRelatedWork W1962976357 @default.
- W99151489 hasRelatedWork W2034474842 @default.
- W99151489 hasRelatedWork W2059676975 @default.
- W99151489 hasRelatedWork W2077182604 @default.
- W99151489 hasRelatedWork W2078352186 @default.
- W99151489 hasRelatedWork W2087102842 @default.
- W99151489 hasRelatedWork W2106381147 @default.
- W99151489 hasRelatedWork W2127338092 @default.
- W99151489 hasRelatedWork W2270026967 @default.
- W99151489 hasRelatedWork W2482542215 @default.
- W99151489 hasRelatedWork W2501019074 @default.
- W99151489 hasRelatedWork W2593039124 @default.
- W99151489 hasRelatedWork W2798532860 @default.
- W99151489 hasRelatedWork W3043914907 @default.
- W99151489 hasRelatedWork W3111643505 @default.
- W99151489 hasRelatedWork W3112274962 @default.
- W99151489 hasRelatedWork W3132172584 @default.
- W99151489 hasRelatedWork W3159503957 @default.
- W99151489 isParatext "false" @default.
- W99151489 isRetracted "false" @default.
- W99151489 magId "99151489" @default.
- W99151489 workType "dissertation" @default.