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Murali RaviMedical Instrumentation

Sri Sathya Sai Institute of Higher Learning

Making cancer visible in the operating theatre.

Dr. Murali Ravi builds indigenous medical imaging instruments: gamma cameras small enough to hold, fast enough to read in real time, and accurate enough to trust while a patient is still on the table.

Research funding
₹570LResearch funding
Funded projects
6Funded projects
Citations
49Citations
Portrait of Dr. Murali Ravi

Dr. Murali Ravi

Assistant Professor, Department of Physics

Supported by

  • DST
  • DAE-BRNS
  • NOKIA Corp.
  • Analog Devices
  • BARC

Headline results

Four numbers that define the work.

0Lakhs

Research funding awarded

Across six sponsored projects from DST, DAE-BRNS, NOKIA and Analog Devices.

0×

MLEM reconstruction speed-up

Xilinx Virtex-7 VC709 FPGA versus optimised software on an Intel Xeon workstation.

0%

Clinical correlation

SAIGC matched gold-standard large field-of-view gamma cameras in trials.

0mm

Intrinsic spatial resolution

1,936 CZT detector elements in a 44 × 44 matrix across an 88 × 88 mm field.

Featured research

Four instruments, one conviction.

That a diagnostic capability is only real when it reaches the room where the decision gets made.

CONVENTIONAL: INDIRECTγCollimatorScintillator (NaI / LaBr₃)Light guidePhotomultiplier arrayReadout electronics~204 mmDETECTOR DEPTHSAIGC: DIRECT CONVERSIONγLEHR collimatorCZT: direct conversionASIC readoute⁻ charge~110 mmDETECTOR DEPTHWHY IT MATTERSNo light stage. No PMT depth.Room temperature · portable form factorCZT SELECTED AFTER GEANT4 / GATE MONTE CARLO COMPARISON AGAINST LaBr₃ SCINTILLATORS
Clinically validated

Direct conversion detector architecture

CZT converts gamma photons straight to charge: no scintillator, no photomultiplier, no depth. This is the decision that makes the camera portable.

Open SAIGC

Selected contributions

A record built one instrument at a time.

Research journey

Fourteen years, traced.

From rebuilding a planar gamma camera in 2012 to leading industrial AI and ML programmes in 2026. Select any entry to expand it.

  1. 2012
  2. 2015
  3. 2016
  4. 2016
  5. 2017
  6. 2017
  7. 2019
  8. 2019
  9. 2020
  10. 2021
  11. 2022
  12. 2023
  13. 2023
  14. 2025
  15. 2026

The full record: publications, patents, projects and prototypes.

Assistant Professor, Department of Physics · Get in touch