KALPANA

A Magnetic Resonance Spectroscopy Data Analysis Software.

Funded by:
Department of Electronics and Information Technology, Government of India

Developed by:
Neuroimaging and Neurospectroscopy Lab (NINS)
National Brain Research Centre, India

ABOUT

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KALPANA is an integrative package for visualization, preprocessing, and quantitation of magnetic resonance spectroscopy (MRS) data acquired using single voxel, multi voxel MRS imaging (MRSI) and MEshcher-GArwood Point-RESolved Spectroscopy (MEGA-PRESS) acquisition methods. The package has been developed using MATLAB and is free for academic use. The package performs signal processing by either time and frequency-domain signal processing scheme on a single platform specifically optimized for proton (1H), MEGA-PRESS, Glutathione, GABA and Multivoxel Phosphorous (31P) MRS Spectroscopic data (including hippocampus).

KEY FEATURES

GALLERY


Figure 1: MRS Processing for Neuro-chemical Quantitation


Figure 2: An illustrative representation for the multi-nuclei data processing, metabolic quantitation and outputs generated using KALPANA package.


Figure 3: Identification of the two in vivo GSH conformer peaks in controls subjects from different continents. (Data from Indian subject, subject from African, Australian, and American origins are collected using Philips scanner at NBRC, India, and data from Norwegian subject is collected using GE scanner at Bergen, Norway). Same MRS protocol was used for data acquisition: TE = 130 ms, TR = 2500 ms, (A) MEGA-ON/OFF = 4.40 ppm/5.00 ppm and, (B) MEGA-ON/OFF = 4.56 ppm/5.00 ppm) (voxel size = 3.5 × 3.5 × 3.5 cm 3 on left parietal cortex).


Figure 4: Detection of GABA resonance at 3 ppm through MEGA-PRESS editing technique. (a) MRS voxel placement for regions of interest in the bilateral frontal, parietal, and occipital regions. (b) Representative stacked plot showing (i) the sub-spectrum acquired with the J-editing pulses OFF; (ii) the sub-spectrum acquired with the J-editing pulses ON; (iii) the edited spectrum with the GABA resonance at 3 ppm (blue line) together with the fitted spectrum (red line); (iv) the residual difference between the experimental and fitted GABA spectrum (brown line).


Figure 5: Hippocampal PH and GSH from a human brain using 3T (Tesla) MRI scanner at the Neuroimaging and Neurospectroscopy Lab, National Brain Research Center.

DOWNLOAD

For downloading a copy of KALPANA. Please send a request mail at pravat[dot]mandal[at]gmail[dot]com A link for download of the software will be sent on the respective email ID.

MEMBERS

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PRINCIPAL INVESTIGATOR
Dr. Pravat K Mandal
Scientist VII
Neuroimaging and Neurospectroscopy Lab
National Brain Research Centre, India

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Dr. Deepika Shukla
Scientist
Neuroimaging and Neurospectroscopy Lab
National Brain Research Centre, India

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Khushboo Punjabi
Research Scholar
Neuroimaging and Neurospectroscopy Lab
National Brain Research Centre, India

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Saurav Roy
Research and Development Engineer
Neuroimaging and Neurospectroscopy Lab
National Brain Research Centre, India

PATENT

A METHOD FOR METABOLITE SIGNAL QUANTITATION FOR MAGNETIC RESONANCE SPECTROSCOPY DATA

International Patent Application No. PCT/IB2016/054978 dated 19 th August, 2016.
National Patent Application No. 20161100194, published on 21 st July 2017.

CITE


KALPANA: Advanced Spectroscopic Signal Processing Platform for Improved Accuracy to Aid in Early Diagnosis of Brain Disorders in Clinical Setting, PK Mandal*, D Shukla, Journal of Alzheimer's Disease, vol 75, no.2, pp. 397-402, 2020.

PUBLICATIONS


KALPANA: Advanced Spectroscopic Signal Processing Platform for Improved Accuracy to Aid in Early Diagnosis of Brain Disorders in Clinical Setting, PK Mandal*, D Shukla, Journal of Alzheimer's Disease, vol 75, no.2, pp. 397-402, 2020.


Quantitation of in vivo brain glutathione conformers in cingulate cortex among age‐matched control, MCI, and AD patients using MEGA‐PRESS, D Shukla, PK Mandal*, M Tripathi, G Vishwakarma, R Mishra, K Sandal, Human Brain Mapping, 2020.

Analyzing Big GABA: Comparison of Five Software Packages for GABA-Edited MRS (Gannet, JMRUI, KALPANA, LCModel and TARQUIN), M Mikkelsen, PK Bhattacharyya, PK Mandal, D Shukla, AM Wang, M Wilson, U Dydak, JB Murdoch, J Near, G Oeltzschner, RAE Edden, 2019.

Predictive Imagable Biomarkers for Neurodegenerative and Neurodevelopmental Diseases, PK Mandal*, L Ersland, Frontiers in Neurology, 2019.

A Multi-center Study on Human Brain Glutathione Conformation using Magnetic Resonance Spectroscopy, D Shukla, PK Mandal*, L Ersland, ER Grüner, M Tripathi, Journal of Alzheimer's Disease, 66 (2), 517-532, 2018.

GABA quantitation using MEGA‐PRESS: Regional and hemispheric differences, M Grewal, A Dabas, S Saharan, PB Barker, RAE Edden, PK Mandal, Journal of Magnetic Resonance Imaging, 2016

Brain Glutathione Levels – A Novel Biomarker for Mild Cognitive Impairment and Alzheimer’s Disease, PK Mandal*, S Saharan, M Tripathi, G Murari, Biological Psychiatry, 78 (10), 702–710, 2015.

In vivo proton magnetic resonance spectroscopic signal processing for the absolute quantitation of brain metabolites, PK Mandal, European Journal of Radiology, 2011.

FREQUENTLY ASKED QUESTIONS (FAQ'S)

  1. How do I install KALPANA?
  2. Download the .rar file in a folder. To install KALPANA, add the folder to MATLAB path. To do so go to the Home tab, in the Environment section, click Set Path. The Set Path dialog box appears. Click on ‘Add with subfolders’ and browse for KALPANA folder. Click on select folder and click on save in Set Path dialog box.

  3. On what platforms does KALPANA run?
  4. KALPANA runs on 32/64 bit Windows, Mac OS and Ubuntu.

  5. What version of MATLAB is required to run KALPANA?
  6. KALPANA is compatible with all versions after MATLAB 2007b.

  7. Which toolboxes do I need?
  8. The package uses in-built functions from MATLAB toolboxes: Signal processing toolbox; Image processing toolbox, Optimization toolbox’ Curve fitting toolbox.Wavelet toolbox, Fuzzy logic. Also, KALPANA uses SPM8 or higher versions for MRI segmentation and normalization.

  9. What MRS and MRI file formats are supported by KALPANA?
  10. It supports MRS data acquired in .SPAR/.SDAT from Philips, p files from GE, and .rda Siemens scanner and MRI data in PAR-REC, '.nii' and DICOM formats.

  11. Is SPM mandatory to run KALPANA?
  12. No, SPM is not mandatory to run KALPANA. However, you won’t be able to run normalization without SPM.

  13. How can I report a bug or make a suggestion?
  14. To report a bug or request a future enhancement email us with the exact steps to necessary to reproduce the bug. Email: pravat[dot]mandal[at]gmail[dot]com

  15. Can I access help on particular topic within the package?
  16. Currently, this option is unavailable. However, we will provide this option through ‘help’ button in the rightmost top corner of KALPANA in future releases.

  17. Can I customize or change the ‘Defaults’ in KALPANA according to my use e.g. initializing KALPANA in ‘Automatic Mode’ instead of ‘Interactive Mode’?
  18. Currently, all the defaults in KALPANA are not modifiable by end user. However, in future releases of KALPANA, this option will be provided through ‘Settings’ button in rightmost top corner of the main window.

CONTACT US

If you want to know more or want to talk to us some more about KALPANA. Feel free to drop an email to us and we will be happy to have a conversation or a discussion with you.
Email ID : pravat[dot]mandal[at]gmail[dot]com
Lab : Link