Design of a Multi-Color Plenoptic Camera for Snapshot Hyperspectral Imaging

The design of a custom camera lens including: a two-lens optical system, filter array, and iris has been developed enabling a greyscale plenoptic camera to acquire full field-of-view, 2D, instantaneous hyperspectral measurements. This work focuses on the use of 7 discrete color filters and their effect on the image quality. It was determined that the placement of the filters inside the aperture plane of the camera was paramount to mitigating image artifacts. In addition, design rules were developed such that the optimal optical parameters (image distance, working distance, and focal length) can be easily determined from a few charts

Functional MRI Assessment of Renal Fibrosis in Rat Models

poster abstractIntroduction Renal fibrosis is a common consequence of chronic kidney diseases which affects a large population. Therefore, it is important to establish imaging based noninvasive biomarkers to monitor the progression or regression of renal fibrosis instead of biopsy. Magnetic resonance imaging (MRI) could provide both high spatial resolution and excellent tissue contrast for visualization of kidney morphology. Moreover, MRI is capable of assessing pseudo perfusion (Df) and perfusion fraction (Pf) with intra-voxel incoherent motion (IVIM) imaging (1), tissue oxygenation with T2* mapping (2), macromolecular composition with T1rho imaging (3) and kidney function (eGFR) with dynamic contrast enhanced (DCE) imaging (4). This study is aimed to evaluate the sensitivity of these MRI techniques to the renal fibrotic changes in a rat model. Methods A total of 4 rats were scanned at early (2-5 days) and late (25-35 days) time points after surgical intervention (unilateral ureteral obstruction to induce renal fibrosis) on a Siemens Tim Trio 3T scanner using an 80mm inner diameter 8-channel rat body coil (RAPID, USA) under a stable anesthetized condition. Axial images of 80mm FOV, 2mm slice thick and sub-millimeter in-place resolution were acquired for different functional MRI techniques with following parameters, respectively: IVIM with10 b-values of 0 - 750 s/mm2. T2*: with 10 TEs of 8 - 66 ms; T1rho: with 9 TSL times of 5 - 80 ms; DCE: with150 dynamic measurements at a temporal resolution of 1.01 s. before and after a 15s injection of 1.1 ml GD-DTPA through rat tail with a power injector. Functional data were processed and analyzed using custom MATLAB programs or analysis tools installed in the MRI console workstation. Results Figure 1 shows an anatomical image of the obstructed (R) and healthy (L) rat kidneys. Figures 2-4 show example T1rho map, IVIM Df map, and T2* map, respectively. Quantitative results based on ROI measurements are summarized in table 1. Changes consistent with the expected progression of fibrosis were observed in the obstructed kidney (R) while the healthy kidney (L) and muscle region remained stable. Figure 5 shows the DCE-MRI images at baseline as well as 45s, 95s and 240s after contrast infusion. The timing and intensity of signal changes are clearly different between two kidneys. Quantitative results of DCE-MRI data and comparison with PET study is reported in a separate abstract. Discussion High quality anatomical and functional images of rat kidney can be obtained on a clinical 3.0T MR scanner with dedicated small animal coils and optimized imaging techniques. The findings suggest that IVIM, T2*, T1rho and DCE can be used to assess and monitor different aspects of physiological changes in kidney fibrosis

Synthesis and in vitro biological evaluation of new P2X7R radioligands [11C]halo-GSK1482160 analogs

The reference standards halo-GSK1482160 (F-, Br-, and I-) and their corresponding precursors desmethyl-halo-GSK1482160 (F-, Br-, and I-) were synthesized from (S)-1-methyl-5-oxopyrrolidine-2-carboxylic acid or (S)-5-oxopyrrolidine-2-carboxylic acid and 2-halo-3-(trifluoromethyl)benzylamine (F-, Br-, and I-) in one step with 45–93% yields. The target tracers [11C]halo-GSK1482160 (F-, Br-, and I-) were prepared from desmethyl-halo-GSK1482160 (F-, Br-, and I-) with [11C]CH3OTf under basic conditions (NaOH-Na2CO3, solid, w/w 1:2) through N-[11C]methylation and isolated by HPLC combined with SPE in 40–50% decay corrected radiochemical yield. The radiochemical purity was >99%, and the molar activity (AM) at end of bombardment (EOB) was 370–740 GBq/μmol. The potency of halo-GSK1482160 (F-, Br-, and I-) in comparison with GSK1482160 (Cl-) was determined by a radioligand competitive binding assay using [11C]GSK1482160, and the binding affinity Ki values for halo-GSK1482160 (F-, Br-, and I-) and GSK1482160 (Cl-) are 54.2, 2.5, 1.9 and 3.1 nM, respectively

Synthesis and preliminary biological evaluation of radiolabeled 5-BDBD analogs as new candidate PET radioligands for P2X4 receptor

P2X4 receptor has become an interesting molecular target for treatment and PET imaging of neuroinflammation and associated brain diseases such as Alzheimer’s disease. This study reports the first design, synthesis, radiolabeling and biological evaluation of new candidate PET P2X4 receptor radioligands using 5-BDBD, a specific P2X4 receptor antagonist, as a scaffold. 5-(3-Hydroxyphenyl)-1-[11C]methyl-1,3-dihydro-2H-benzofuro[3,2-e][1,4]diazepin-2-one (N-[11C]Me-5-BDBD analog, [11C]9) and 5-(3-Bromophenyl)-1-[11C]methyl-1,3-dihydro-2H-benzofuro[3,2-e][1,4]diazepin-2-one (N-[11C]Me-5-BDBD, [11C]8c) were prepared from their corresponding desmethylated precursors with [11C]CH3OTf through N-[11C]methylation and isolated by HPLC combined with SPE in 30–50% decay corrected radiochemical yields with 370–1110 GBq/µmol specific activity at EOB. 5-(3-[18F]Fluorophenyl)-1,3-dihydro-2H-benzofuro[3,2-e][1,4]diazepin-2-one ([18F]F-5-BDBD, [18F]5a) and 5-(3-(2-[18F]fluoroethoxy)phenyl)-1,3-dihydro-2H-benzofuro[3,2-e][1,4]diazepin-2-one ([18F]FE-5-BDBD, [18F]11) were prepared from their corresponding nitro- and tosylated precursors by nucleophilic substitution with K[18F]F/Kryptofix 2.2.2 and isolated by HPLC-SPE in 5–25% decay corrected radiochemical yields with 111–740 GBq/µmol specific activity at EOB. The preliminary biological evaluation of radiolabeled 5-BDBD analogs indicated these new radioligands have similar biological activity with their parent compound 5-BDBD

Synthesis and preliminary biological evaluation of [11C]methyl (2-amino-5-(benzylthio)thiazolo[4,5-d]pyrimidin-7-yl)-d-leucinate for the fractalkine receptor (CX3CR1)

The reference standard methyl (2-amino-5-(benzylthio)thiazolo[4,5-d]pyrimidin-7-yl)-d-leucinate (5) and its precursor 2-amino-5-(benzylthio)thiazolo[4,5-d]pyrimidin-7-yl)-d-leucine (6) were synthesized from 6-amino-2-mercaptopyrimidin-4-ol and BnBr with overall chemical yield 7% in five steps and 4% in six steps, respectively. The target tracer [11C]methyl (2-amino-5-(benzylthio)thiazolo[4,5-d]pyrimidin-7-yl)-d-leucinate ([11C]5) was prepared from the acid precursor with [11C]CH3OTf through O-[11C]methylation and isolated by HPLC combined with SPE in 40–50% radiochemical yield, based on [11C]CO2 and decay corrected to end of bombardment (EOB). The radiochemical purity was >99%, and the specific activity (SA) at EOB was 370–1110 GBq/μmol with a total synthesis time of ∼40-min from EOB. The radioligand depletion experiment of [11C]5 did not display specific binding to CX3CR1, and the competitive binding assay of ligand 5 found much lower CX3CR1 binding affinity

Development of a Novel Magnetic Resonance Imaging Acquisition and Analysis Workflow for the Quantification of Shock Wave Lithotripsy-Induced Renal Hemorrhagic Injury

Introduction The current accepted standard for quantifying shock wave lithotripsy (SWL)-induced tissue damage is based on morphometric detection of renal hemorrhage in serial tissue sections from fixed kidneys. This methodology is time and labor intensive and is tissue destructive. We have developed a non-destructive magnetic resonance imaging (MRI) method that permits rapid assessment of SWL-induced hemorrhagic lesion volumes in post-mortem kidneys using native tissue contrast to reduce cycle time. Methods Kidneys of anesthetized pigs were targeted with shock waves using the Dornier Compact S lithotripter. Harvested kidneys were then prepared for tissue injury quantification. T1 weighted (T1W) and T2 weighted (T2W) images were acquired on a Siemens 3T Tim Trio MRI scanner. Images were co-registered, normalized, difference (T1W–T2W) images generated, and volumes classified and segmented using a Multi-Spectral Neural Network (MSNN) classifier. Kidneys were then subjected to standard morphometric analysis for measurement of lesion volumes. Results Classifications of T1W, T2W and difference image volumes were correlated with morphometric measurements of whole kidney and parenchymal lesion volumes. From these relationships, a mathematical model was developed that allowed predictions of the morphological parenchymal lesion volume from MRI whole kidney lesion volumes. Predictions and morphology were highly correlated (R=0.9691, n=20) and described by the relationship y=0.84x+0.09, and highly accurate with a sum of squares difference error of 0.79%. Conclusions MRI and the MSNN classifier provide a semi-automated segmentation approach, which provide a rapid and reliable means to quantify renal injury lesion volumes due to SWL

Magnetic Resonance Diffusion Tensor Imaging and Diffusion Compartmental Modeling in an Animal Model of Chronic Kidney Disease

poster abstractPurpose: According to National Health and Nutrition Examination Survey (NHANES), Chronic Kidney Disease (CKD) affects 25% of the US population over age 601. Renal fibrosis, a common pathological consequence of CKD, is a progressive process that ultimately leads to end-stage renal failure that requires dialysis or kidney transplantation2. There is a compelling need for non-invasive biomarkers that track changes in the tissue microenvironment associated with CKD. Several studies using magnetic resonance diffusion tensor imaging (DTI) have been proposed as imaging biomarkers for CKD3. In this study, in addition to DTI, we explored a diffusion-compartmental modeling technique4 to study the microstructures of hypoxia induced animal models of CKD. Method: Preparation of the animal CKD model: Experiments were performed in 4 Wistar Rats using protocols approved by the Institutional Animal Care and Use Committee (IACUC). Two days prior to the first magnetic resonance imaging (MRI) scan; surgical intervention in right renal artery was performed in all the animals to create hypoxia induced renal fibrosis. The MRI scans were repeated at an interval of approximately one month. During the imaging session, the rats were sedated and kept in head-first supine position. MRI imaging: The MRI diffusion pulse sequence was a single-shot spin-echo echo-planar imaging (SS-SE-EPI) sequence with multiple diffusion-weighting b-values (i.e. 3 shells with b-values of 150, 300 and 450 s/mm2) and multiple diffusion-weighting directions at each shell (i.e., 10, 19 and 30, respectively). Diffusion directions in each shell and in the projected sphere with all directions (i.e., total 59) were optimized for uniform diffusion sampling in the spherical space5. The repetition time (TR) is 2200 ms and echo time (TE) is 73.6 ms. A total of four signal averages was performed. The imaging parameters were field-of-view (FOV) = 128 x 64 mm, matrix size = 128 x 64, isotropic voxel size of 1 mm3, and 20 oblique coronal slices. Image data processing: DTI derived parameters including axial diffusivity (Da), radial diffusivity (Dr), mean diffusivity (MD), and fractional anisotropy (FA) were computed6. The diffusion compartmental model originally proposed for the brain called neutrite orientation dispersion and density imaging (NODDI)4 was modified to fit the water diffusivities of kidneys. The NODDI model with Watson stick framework produces the volume fraction of stick like diffusion compartment that may explain the active diffusion (transport) of water in the interstitial space between renal tubules, ellipsoid like diffusion compartment that may explain diffusion inside renal tubule, and a fast isotropic diffusion to account for the pseudo-diffusion term relating to bulk vascular flow. The normalized diffusion intensity was fit with a non-linear mathematical model given by A = (1-Viso) (VicAic+(1-Vic) Aec) + VisoAiso ; where Vic and Viso are the volume fraction of active water transport and free diffusion compartments in the kidney, respectively. Aic, Aec and Aiso are the normalized diffusion signal contribution from stick, tubule and free diffusion compartments, respectively. In the raw DW data, the b-value=0 volume clearly shows three distinct layers in the rat kidney representing the inner medulla, outer medulla and cortex (Figure1). Non-overlapping ROI's were constructed from the b-value =0 images. Figure 1: The DTI and Diffusion compartmental modeling parameter for RAT Kidney 2 days after surgical intervention. The Cortex (C), the Outer Medulla (OM) and Inner Medulla (IM) are shown in raw b0 maps. The orientation of the images follows radiology convention. Results: On post-surgical day 2, the overall water diffusivity (i.e., mean diffusivity (MD)) decreased significantly in the outer medullae and inner medullae of the surgical kidneys (Figure 2 B green bars). In the compartmental model, the volume fraction of the stick (interstitial) diffusion compartment (Vic) in right outer and inner medulla was significantly increased compared to the left (Figure 2A blue bars), whereas the volume fraction of water diffusion inside the tubules (Vec = (1-Vic)) decreased significantly. In addition, isotropic free diffusion compartment (Viso) was significantly lower in the inner medullae of the right kidneys. The axial diffusivity (Da) that may describe the diffusion parallel to the tubules decreased significantly in outer and inter medullae of the right surgical kidneys (Figure 2 B blue bars). The radial diffusivity (Dr) that may describe the water diffusion perpendicularly to the renal tubules decreased significantly in only the outer medullae of the right kidneys (Figure 2B gray bars). While FA shows high value in the inner medullae for both left and right kidneys, no significant results were found between left and right kidneys and between two time points. Over the one-month period of time, right inner medullae continued the significant changes in the diffusivity measurements (Figure 2C and D, right groups), but the diffusivities remained similar in the outer medullae (Figure 2 C and D, middle groups). No significant findings were found in the renal cortices between the right and left kidneys on post-surgical day 2 (Figure 2 A and B). Interestingly, the right renal cortices did have significant increase in Vic and decreases in Da, Dr, and MD over the one-month time period (Figure 2 C and D). Figure 2: Diffusion Compartmental (Figure 2A) and DTI (Figure 2B) parameters for Right Cortex (RC) and Left Cortex (LC), Right Outer Medulla (ROM) and Left Outer Medulla (LOM) and Right Inner Medulla (RIM) and Left Inner Medulla (LIM) on post-surgical day 2. (Figure 2C) Is the time series study of diffusion compartmental parameters and (Figure 2D) for DTI parameters for the right kidneys at post-surgical day 2 and 30, respectively. The bars represent diffusion measurements of all four rats. The overhead connecting lines represent significant statistical student t-test with p-value < 0.01. Discussions and Conclusion: The DTI and NODDI analogous diffusion compartment derived parameters are sensitive to the micro-structural changes in kidneys after surgical hypoxia intervention. The outer and inner medullae appear most sensitive to the surgical hypoxia intervention as early as post-surgical day 2. The preliminary result suggests that water diffusion decreases due to renal fibrosis, and more so inside the Henle tubules. In post-surgical day 30, renal cortices start to show changes in water diffusivities while inner medullae continue pathological changes. The NODDI compartmental model shows promising preliminary results in revealing renal microenvironments under the influences of hypoxia induced renal fibrosis. Further study is required to optimize and validate the model

In vivo UTE-MRI reveals positive effects of raloxifene on skeletal bound water in skeletally mature beagle dogs

Raloxifene positively affects mechanical properties of the bone matrix in part through modification of skeletal bound water. The goal of this study was to determine if raloxifene induced alterations in skeletal hydration could be measured in vivo using ultra-short echotime magnetic resonance imaging (UTE-MRI). Twelve skeletally mature female beagle dogs (n=6/group) were treated for 6 months with oral doses of saline vehicle (VEH, 1 ml/kg/day) or raloxifene (RAL, 0.5 mg/kg/day). Following six months of treatment, all animals underwent in vivo UTE-MRI of the proximal tibial cortical bone. UTE-MRI signal intensity versus echotime curves were analyzed by fitting a double exponential to determine the short and long relaxation times of water with the bone (dependent estimations of bound and free water, respectively). Raloxifene-treated animals had significantly higher bound water (+14%; p = 0.05) and lower free water (-20%) compared to vehicle-treated animals. These data provide the first evidence that drug-induced changes in skeletal hydration can be non-invasively assessed using UTE-MRI.Funding for this study was provided by NIH (AR 62002 and a BIRT supplement). Raloxifene was provided by through an MTA with Eli Lilly

Characterization of 11C-GSK1482160 for Targeting the P2X7 Receptor as a Biomarker for Neuroinflammation

The purinergic receptor subtype 7 (P2X7R) represents a novel molecular target for imaging neuroinflammation via PET. GSK1482160, a potent P2X7R antagonist, has high receptor affinity, high blood–brain barrier penetration, and the ability to be radiolabeled with 11C. We report the initial physical and biologic characterization of this novel ligand. Methods: 11C-GSK1482160 was synthesized according to published methods. Cell density studies were performed on human embryonic kidney cell lines expressing human P2X7R (HEK293-hP2X7R) and underwent Western blotting, an immunofluorescence assay, and radioimmunohistochemistry analysis using P2X7R polyclonal antibodies. Receptor density and binding potential were determined by saturation and association–disassociation kinetics, respectively. Peak immune response to lipopolysaccharide treatment in mice was determined in time course studies and analyzed via Iba1 and P2X7R Western blotting and Iba1 immunohistochemistry. Whole-animal biodistribution studies were performed on saline- or lipopolysaccharide-treated mice at 15, 30, and 60 min after radiotracer administration. Dynamic in vivo PET/CT was performed on the mice at 72 h after administration of saline, lipopolysaccharide, or lipopolysaccharide + blocking, and 2-compartment, 5-parameter tracer kinetic modeling of brain regions was performed. Results: P2X7R changed linearly with concentrations or cell numbers. For high-specific-activity 11C-GSK1482160, receptor density and Kd were 1.15 ± 0.12 nM and 3.03 ± 0.10 pmol/mg, respectively, in HEK293-hP2X7R membranes. Association constant kon, dissociation constant koff, and binding potential (kon/koff) in HEK293-hP2X7R cells were 0.2312 ± 0.01542 min−1⋅nM−1, 0.2547 ± 0.0155 min−1, and 1.0277 ± 0.207, respectively. Whole-brain Iba1 expression in lipopolysaccharide-treated mice peaked by 72 h on immunohistochemistry, and Western blot analysis of P2X7R for saline- and lipopolysaccharide-treated brain sections showed a respective 1.8- and 1.7-fold increase in signal enhancement at 72 h. Biodistribution of 11C-GSK1482160 in saline- and lipopolysaccharide-treated mice at 72 h was statistically significant across all tissues studied. In vivo dynamic 11C-GSK1482160 PET/CT of mice at 72 h after administration of saline, lipopolysaccharide, or lipopolysaccharide + blocking showed a 3.2-fold increase and 97% blocking by 30 min. The total distribution volumes for multiple cortical regions and the hippocampus showed statistically significant increases and were blocked by an excess of authentic standard GSK1482160. Conclusion: The current study provides compelling data that support the suitability of 11C-GSK1482160 as a radioligand targeting P2X7R, a biomarker of neuroinflammation

Synthesis and preliminary biological evaluation of a novel P2X7R radioligand [18F]IUR-1601

The reference standard IUR-1601 ((S)-N-(2-chloro-3-(trifluoromethyl)benzyl)-1-(2-fluoroethyl)-5-oxopyrrolidine-2-carboxamide) was synthesized from tert-butyl (S)-5-oxopyrrolidine-2-carboxylate, fluoroethylbromide, and 2-chloro-3-(trifluoromethyl)benzylamine with overall chemical yield 12% in three steps. The target tracer [18F]IUR-1601 ((S)-N-(2-chloro-3-(trifluoromethyl)benzyl)-1-(2-[18F]fluoroethyl)-5-oxopyrrolidine-2-carboxamide) was synthesized from desmethyl-GSK1482160 with 2-[18F]fluoroethyl tosylate, prepared from 1,2-ethylene glycol-bis-tosylate and K[18F]F/Kryptofix2.2.2, in two steps and isolated by HPLC combined with SPE in 1–3% decay corrected radiochemical yield. The radiochemical purity was >99%, and the molar activity at end of bombardment (EOB) was 74–370 GBq/μmol. The potency of IUR-1601 in comparison with GSK1482160 was determined by a radioligand competitive binding assay using [11C]GSK1482160, and the binding affinity Ki values for IUR-1601 and GSK1482160 are 4.31 and 5.14 nM, respectively