LIVE DEMONSTRATION: Understanding the Complimentary Nature of BLI, Ultrasound, and MRI for Preclinical Imaging
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The document presents a live demonstration focused on different imaging modalities used for tumor analysis, including optical imaging, ultrasound, and MRI. It highlights the complementary role of these modalities in identifying tumor locations, assessing viability, and measuring tumor volumes. Various imaging techniques and their measurements were illustrated, showcasing how they are utilized for better visualization and understanding of tumor structures and cardiovascular functions.
LIVE DEMONSTRATION: Understanding the Complimentary Nature of BLI, Ultrasound, and MRI for Preclinical Imaging
- 1. Understanding the Complementary Nature of Imaging Modalities: Live demonstration October 1st, 2020 Tonya Coulthard – [email protected] Katie Parkins – [email protected]
- 2. Images Acquired During The Live Demo • Newton 7.0- Optical Imaging • Prospect T1- Ultrasound Imaging • M-series- MRI Imaging
- 3. COURTESY : Matthieu Germain , Nanobiotix/Curadigm Newton 7.0 FT In Vivo Optical Imaging System
- 4. Optical Imaging (Bioluminescence) Signal Only Image Brightfield Image Overlay Image
- 5. IP metastasis model (human ovarian cancer) Dual MFP Model (human breast cancer) Optical Imaging (Bioluminescence)
- 6. FLI Phantom @ 480nm Multiplex Phantom Fluorescent beads Fluorescent beads Luminescent beads Optical Imaging (Bioluminescence)
- 7. • Lower binning improves resolution but lowers sensitivity; high binning leads to more signal but more pixelated image quality; tail was covered to block signal from tracer (fluorescence) Previously Acquired Images: Bioluminescence (Subcutaneous Tumor) Max greyscale: 8771 With hair; 4 minutes, 2x2 bin Max greyscale: 26647 Shaved; 4 minutes, 2x2 bin Binning= 2 Binning= 16
- 8. • Binning adjusts the sensitivity of the image, so much so that the acquisition time had to be decreased from 4 minutes to 2 minutes to prevent saturation Binning = 16Binning = 4 Previously Acquired Images: Bioluminescence (Orthotopic Lung Tumors)
- 9. • These mice had an mCherry expressing tumor on the left side, and a GFP expressing tumor on the right side; on both mice the GFP tumors were not visible Previously Acquired Images – mCherry Tumor on Left , GFP on Right
- 10. Prospect T1 Compact, High-Frequency, Tablet-based System Small Animal Ultrasound
- 11. Tumor Imaging – 2D B-Mode Imaging • Tumor identification, and basic linear and area measurements • Investigation of surrounding structures • Longitudinal imaging to monitor tumor progression or therapeutic response Orthotopic Mammary Fat Pad Tumor MDA-MB-231 • Power Doppler (not shown during the demo due to a technical issue with the demo system) can be used to assess tumor vasculature using endogenous signal within the tissue • Contrast Imaging (linear and subharmonic - not shown during the demo as no contrast agent was available) can be used to assess tumor microvasculature using microbubbles
- 12. Tumor Imaging – 2D B-Mode Imaging • The complex nature of tumors can be investigated using B-Mode imaging, as well as surrounding structures IP Injection of Ovarian Tumor Cells SKOV-3 Tumor Stomach IP Injection of Ovarian Tumor Cells SKOV-3 Kidney Splenic Vein TumorIntestine
- 13. Tumor Imaging – 3D B-Mode Imaging • 3D volume measurements • Longitudinal imaging to monitor tumor progression or therapeutic response Volume = 263mm3 Orthotopic Mammary Fat Pad Tumor MDA-MB-231
- 14. Tumor Imaging – 3D B-Mode Imaging • 3D volume measurements • Complex tumor structures can be visualized • Longitudinal imaging to monitor tumor progression or therapeutic response IP Injection of Ovarian Tumor Cells SKOV-3 Tumor
- 15. Tumor Imaging – 3D B-Mode Imaging • Due to the complex nature of this tumor model the images were analyzed in VivoQuant • Red Tumor = 4.7mm3 • Green Tumor = 16.0mm3
- 16. Cardiovascular Imaging – Par aster nal Long Axis View of LV B-Mode Frame Rate = 30fps ECG Gated Kilohertz Visualization = 30fps
- 17. Cardiovascular Imaging – Par aster nal Long Axis View of LV
- 18. Cardiovascular Imaging – Pulsed Wave Doppler Pulmonary Artery Mitral Valve
- 19. Cardiovascular Imaging – Left Carotid Artery • 3D imaging is possible on blood vessels • Here VivoQuant was used to outline both the left and right carotid arteries
- 20. Cardiovascular Imaging – Color Doppler • Color Doppler (not shown during the demo due to a technical issue with the demo system) can be used to identify and assess blood flow velocity and direction within the heart and surrounding vasculature
- 21. Cardiovascular Imaging – Measurements • Systolic cardiac function can be measured from an M-mode image • Multiple instances of each measurement can be made, with the software outputting the individual values, average and standard deviation into a .csv file format Measurement Unit Value Average STD 1 2 3 Heart Rate BPM 351 351 351 351 0 LVAW;d mm 0.99 1.07 0.99 1.01 0.04 LVID;d mm 3.36 3.36 3.49 3.41 0.06 LVPW;d mm 1.33 1.18 1.16 1.22 0.08 LVAW;s mm 1.8 1.58 1.63 1.67 0.09 LVID;s mm 1.78 1.88 1.88 1.85 0.05 LVPW;s mm 1.67 1.69 1.58 1.65 0.05 Calculation Unit Value Average STD 1 2 3 FS % 47.13 43.95 46.01 45.7 1.32 EDV uL 46.19 46.19 50.56 47.64 2.06 ESV uL 9.41 10.94 10.94 10.43 0.72 EF % 79.62 76.32 78.37 78.1 1.36 LV mass mg 121.65 116.49 114.4 117.51 3.05 SV uL 36.77 35.25 39.62 37.21 1.81 CO mL/min 12.92 12.37 13.91 13.07 0.63 • A full compliment of analysis options are available on the Prospect T1, a few are shown here
- 22. Cardiovascular Imaging – Measurements • Systolic cardiac function can be measured from 2D B-Mode images by measuring the change in length in the long axis, and change in area in the short axis • If multiple instances of each measurement were made then the .csv file would contain each value along with the average and standard deviation Measurement Unit Value 1 Epi. Area;d mm2 25.82 Endo. Area;d mm2 9.64 LV Length;d mm 8.02 Epi. Area;s mm2 21.35 Endo. Area;s mm2 4.02 LV Length;s mm 7.04 Weight(ALM) gm 25 Calculation Unit Value 1 LVM(ALM) mg 138.67 LVMI(ALM) g/m2 18.02 LV EDV(ALM) uL 64.43 LV ESV(ALM) uL 23.58 SV(ALM) uL 40.84 EF(ALM) % 63.39 FS(ALM) % 35.44 Endo FAC(ALM) % 58.32
- 23. Cardiovascular Imaging – Measurements • Diastolic cardiac function can be measured from the mitral valve inflow using PW Doppler and measuring the various velocity and time points • If multiple instances of each measurement are made then the .csv file contains each value along with the average and standard deviation Measurement Unit Value Average STD 1 2 A mm/s 254.89 181.1 218 36.89 Acc m/s2 38.43 28.72 33.57 4.85 DT ms 32.75 27.94 30.34 2.41 E mm/s 500.17 390.49 445.33 54.84 E/A 1.96 2.16 2.06 0.1 ET ms 45.28 39.01 42.14 3.13 IVCT ms 8.67 10.11 9.39 0.72 IVRT ms 18.78 17.82 18.3 0.48 MPI 0.61 0.72 0.66 0.05
- 24. M-Series Compact, Self-Shielded, High Performance Permanent Magnet Small Animal MRI
- 25. Tumor Imag ing – Or thotop ic Mammar y Fat Pad Tumor • MDA-MB-231 cell line • T1 and T2 weighted image contrast helps to identify anatomy; along with pathological changes, including tumors • 250µm in-plane resolution with 1mm slice thickness • Acquisition was around 4.5 minutes T1 Weighted T2 Weighted
- 26. Tumor Imag ing – Or thotop ic Mammar y Fat Pad Tumor • Tumor volume was found to be 273mm3 T1 Weighted T2 Weighted MDA-MB-231
- 27. Tumor Imaging – IP Injected Ovarian Tumor Cells • SKOV3 cell line, injected IP • These tumors may form anywhere within the peritoneal cavity • Numerous tumors were located throughout the abdomen T2 WeightedT1 WeightedT1 Weighted T2 Weighted
- 28. Tumor Imaging – IP Injected Ovarian Tumor Cells • VivoQuant was used to visualize the acquired images in 3D and to quantify the tumor volumes. • Various manual and semi-automatic tools are available T2 WeightedT1 Weighted Region Of Interest Color Volume (mm³) Upper Tumor red 144 Mid Tumor green 6 Lower Tumor blue 9 Lower Tumor #2 cyan 7 Mid Tumor #2 magenta 64
- 29. Brain Imaging – Normal Brain T2 WeightedT1 Weighted • Various structures can be visualized within the brain • 200µm in-plane resolution, 1mm slice thickness; 7.5-minute acquisition time
- 30. Sample images acquired during the live virtual demo (Oct 1) Understanding the Complementary Nature of Imaging Modalities
- 31. U n d e r s t a n d i n g t h e C o m p l e m e n t a r y N a t u r e o f I m a g i n g M o d a l i t i e s T1 Weighted • Bioluminescence helps to identify where the tumors may be located, however differentiating tumors from one another, and measuring tumor volume is better done using an anatomical imaging modality such as MRI or Ultrasound Kidney Splenic Vein TumorIntestine IP Injection of SKOV3 Ovarian Tumor Cells
- 32. Unders tanding the Comp lementar y Nature of Imag ing Modalities T2 Weighted • Bioluminescence helps to confirm viability of the tumor cells, as they express luciferase, approximate volumes may be possible from the BLI signal; anatomical images help to confirm tumor volume - ultrasound (263mm3) or MRI (273mm3) Orthotopic Mammary Fat Pad Tumor (MDA-MB-231)