pMRI

Parametric MRI

Parametric MRI (pMRI) is a “spiritual successor” to CHOP-fMRU.

The purpose of this software is to provide access to powerful, fast and easy to use tools for various medical imaging post processing techniques including fMRU, T2/T2* mapping with built in LIC conversion, T1 mapping, 3D region growing, T2* perfusion, DWI, Dual Energy CT, Renal Scintigraphy and others.  pMRI fully integrates with PACS and runs on Microsoft Windows.  The software is currently in open beta and is available for download in the downloads section.  Please use the contact form below if you would like more information.

Features

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fMRU

Calculate split function and volumes.  Generate enhancement, patlak and excretion curves, histograms and much more!  This is CHOP-fMRU version 2.

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Segmentation

Segment images using various tools, ranging from free-hand to advanced region growing.  Threshold based on multiple parameters and more.

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DWI Analysis

Calculate ADC based on linear and non-linear exponential fits.  Estimate perfusion using bi-exponential modeling.  Generate virtual b-values.

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T1 Mapping

Generate inversion recovery curves from T1 MOLLI data.  Calculate mean T1 values, maps and histograms using non-linear least square fitting.

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MAG3

Analyze multi-phase renal scintigraphy studies for split function.  Threshold/region grow based on counts and generate various curves and histograms

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DICOM Support

Import/export DICOM studies and maintain them in a searchable database for quick and easy access.  Anonymize multiple studies with two clicks.

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Batch Processing

Save your analysis with one key stroke and analyze multiple cases in bulk after.  Copy and paste the results directly into excel, avoiding organizational errors.

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T2* Perfusion

Generate dynamic ΔR2* maps and ΔR2* vs time curves and histograms.  Calculate CBV values and maps based on a gamma variate fit.

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T2/T2* Mapping

Calculate mean T2/T2* values and maps with built in LIC conversion for R2/R2* liver iron data.  Includes mono and bi-exponential modeling as well as custom weighted fits.

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PACS Integration

Setup and connect to multiple servers.  Search, send and receive DICOM images over a network.  Integrates with common DICOM networking software. 

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Histograms

Generate histograms of various parameters.  Calculate means, standard deviations, and do Gaussian fits.  View dynamic histograms in real time.

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3D Rendering

Generate up to 8 independent surfaces per analysis.  Rotate the images with the mouse and move the camera around freely in real time!

 
 

Publications

MRI-Derived Subcutaneous and Visceral Adipose Tissue Reference Values for Children Aged 6 to Under 18 Years

Marunowski, Kacper, Dominik Świętoń, Włodzimierz Bzyl, Małgorzata Grzywińska, Mariusz Kaszubowski, Piotr Bandosz, Dmitry Khrichenko, and Maciej Piskunowicz. "MRI-derived subcutaneous and visceral adipose tissue reference values for children aged 6 to under 18 years." Frontiers in Nutrition: 714.

Novel Computerized Analytic Technique for Quantification of Amniotic Fluid Volume in Fetal MRI

Didier, Ryne A., Dmitry Khrichenko, Christian A. Barrera, Carolina Maya, Ann M. Johnson, Edward R. Oliver, Julie S. Moldenhauer, and Teresa Victoria. "Novel Computerized Analytic Technique for Quantification of Amniotic Fluid Volume in Fetal MRI." American Journal of Roentgenology (2019): W1-W4.

Biexponential R2* Relaxometry for Estimation of Liver Iron Concentration in Children: A Better Fit for High Liver Iron States

Barrera, Christian A., Dmitry Khrichenko, Suraj D. Serai, Helge D. Hartung, David M. Biko, and Hansel J. Otero. "Biexponential R2* Relaxometry for Estimation of Liver Iron Concentration in Children: A Better Fit for High Liver Iron States." Journal of Magnetic Resonance Imaging (2019).

R2 relaxometry based MR imaging for estimation of liver iron content: A comparison between two methods

Calle-Toro, Juan S., Christian A. Barrera, Dmitry Khrichenko, Hansel J. Otero, and Suraj D. Serai. "R2 relaxometry based MR imaging for estimation of liver iron content: A comparison between two methods." Abdominal Radiology (2019): 1-11.

 
 

Contact

Dmitry Khrichenko

Philadelphia, PA, USA

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