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M-SeriesTM Compact MRI Systems

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Presentation on theme: "M-SeriesTM Compact MRI Systems"— Presentation transcript:

1 M-SeriesTM Compact MRI Systems

2 Aspect’s M-Series Systems
Compact Simple to use Safe Quiet Maintenance-free Affordable

3 Advantages of Aspect Imaging MRI Systems
User friendly & sample preparation is routine without the cost, complexity, and infrastructure needs of conventional MRI Useful in vivo scans can be acquired in 10 minutes or less Ex vivo scans (scans of multiple fixed specimens) can be automated to run overnight

4 System Components Compact magnet with integrated electronics
Application-specific RF coils and animal handling beds Total small animal solution Anaesthesia Heating Physiological monitoring ECG and/or respiration triggering Auto load/eject system for HT ex- vivo imaging

5 Longitudinal Growth of a Brain Tumor
Collaborators Rinat Abramovitch, Hadassah Hebrew University Medical Center, Israel Yael Schiffenabuer, Aspect Imaging, Israel Catherine Brami, Aspect Imaging, Israel Abraham Nyska, Tel Aviv University & Consultant in Toxicologic Pathology, Israel

6 Biological Model and Objective
Model: Gl-261 glioma cells stereotactically injected into the right brain hemisphere of CB6F1 mice Objective: Longitudinal evaluation of tumor growth

7 Longitudinal Evaluation of Tumor Growth In Vivo MRI (T2)
Day 15 Day 17 Day 20 axial coronal Exponential tumor growth Acquisition parameters: FSE : TR/TE 2500/74ms , slice thickness 1mm, 256x256, FOV 40mm, Nex 8, scan time 13.2min Time (days) resolution 156 mm; slice thickness 1 mm; acquisition time 13 min

8 Tumor Segmentation Day 17 – coronal Tumor volume 6.6 mm3
Injection site Injection site Acquisition parameters: FSE : TR/TE 3440/80ms , slice thickness 0.7mm, 256x256, FOV 40mm, Nex 40, scan time 57min Tumor volume 6.6 mm3

9 Brain Tumor (In vivo MRI)

10 Variability in Tumor Size (n=4, day 15) In Vivo MRI (T2)
mouse 1 mouse 4 mouse 3 mouse 2 resolution 156 mm slice thickness 1 mm acquisition time 13 min Acquisition parameters: FSE : TR/TE 2500/74ms , slice thickness 1mm, 256x256, FOV 40mm, Nex 8, scan time 13.2min

11 Ex Vivo MRI vs Histology
Day 15 Day 20

12 Summary & Comment In-vivo and ex-vivo MRI evaluation provided a way to follow the time-related growth of an induced tumor in the brain and to determine the volume of the tumor This model demonstrates the utility of using MRI for longitudinal studies and would be useful for testing the efficacy of anti-cancer drugs

13 Hepatocarcinoma growth in vivo
Collaborators Julia Vilensky, Itay Spector, Yossi Lavie, & Nati Ezov, Harlan Biotech Israel, Nes Ziona, Israel Yael Schiffenabuer, Aspect Imaging, Israel Catherine Brami, Aspect Imaging, Israel Abraham Nyska, Tel Aviv University & Consultant in Toxicologic Pathology, Israel

14 Biological Model and Objective
Model: Orthotopic hepatocellular carcinoma induced in BALB/c nude mice in two stages Subcutaneous injection of HepG2 cell suspension in the flank of donor mice Intrahepatic implantation of tumor fragments obtained from donors into liver lobe of BALB/c nude mice Objective: Evaluation of orthotopic tumor growth

15 Tumor Growth in vivo 2 weeks 3 weeks Slice thickness = 1 mm 4 weeks
Acquisition parameters: FSE: TR=2651 ms; TE=80ms; FOV=64 mm; ST=1mm; Matrix 256x252, Acq time = min Acquisition time = 10.3 minutes

16 Tumor Volume is Determined From Multiple Slices – In Vivo MRI
4 weeks Acquisition parameters: FSE: TR=2651 ms; TE=80ms; FOV=64 mm; ST=1mm; Matrix 256x252, Acq time = min

17 Quantification of Tumor Volume in vivo
3 weeks 4 weeks 5 weeks Acquisition parameters: FSE: TR=2651 ms; TE=80ms; FOV=64 mm; ST=1mm; Matrix 256x252, Acq time = min ROI Color Voxels Volume mm³ tumor 3 weeks Red 1619 tumor 4 weeks 5649 tumor 5 weeks red 10899 Volume (mm3) Time post implantation (weeks)

18 Summary & Comment In Vivo MRI evaluation enabled to follow the time- related growth of this orthotopic tumor in the liver, and to delineate the volume of the tumor over time. This model demonstrates the potential utility of using MRI for testing the efficacy of anti-cancer drugs.   


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