Hello Arif here, read more about my world through this website.
I am an Electronics & Communication Engineer, currently pursuing my Ph.D. at the Indian Institute of Science, Bangalore. I work at Biomedical and Electronic Engineering Systems Laboratory, lead by Professor Hardik J. Pandya, in the Department of Electronic Systems Engineering, Division of EECS. My research focus is on developing intraoperative tools for augmenting the diagnosis of breast tumors. I am also working on the design and development of electronics systems and devices for biomedical applications.
Guided by Prof. Hardik J. Pandya at BEES Lab, Department of Electronic Systems Engineering, IISc Bengaluru.
Towards the development of an intraoperative probe using opto-acoustic modalities for breast cancer margin assessment
(Ph.D. Research Topic)
Proposed Solution: To develop an intraoperative probe for improving breast tumor margin using opto-acoustic sensing. We combine MEMS technology with optical technology to realize the probe. We are backed up by a team of expert oncologists and surgeons from Assam Medical College, Assam and University College London, London.
(a)- We have performed an experiment using an LED-based Time-Domain near-infrared spectroscopy (NIRS) system on formalin-fixed breast tissue (ex-vivo studies). The work was published in IEEE Sensors Journal.
(b)- We have performed another experiment using LED-based Polarization Spectroscopy tools based on the continuous-wave near-infrared spectroscopy (NIRS) technique on formalin-fixed breast tissue (ex-vivo studies). The work is under revision in the Journal of Biophotonics.
Towards Development of LED-based Time-Domain Near-IR Spectroscopy System for Delineating Breast Cancer from Adjacent Normal Tissue.
Kamal AM, Pal UM, Nayak A, Medisetti T, Arjun BS, Pandya HJ.
IEEE Sensors Journal. 2021 May 21
— Currently, the breast cancer diagnosis is performed by microscopic examination of thin slices of ex-vivo biopsy tissue by the pathologist. This paper proposes a robust and affordable LED-based time-domain near-infrared spectroscopy system (Spectro-IRTDx) to further aid the pathologist for rapid and accurate breast cancer diagnosis. The measurements are performed on formalin-fixed cancerous tissues (invasive ductal carcinoma) and their adjacent normal tissues obtained from N = 6 patients. The mean effective attenuation coefficient (µeff) for cancerous tissue is found to be 5.41 and 2.41 times higher than adjacent normal tissue, with good statistical significance (p = 0.00216) while operating at 850 nm and 940 nm, respectively. The average detected peak voltage (DPV) for adjacent normal tissue is found to be 3.44 and 4.16 times higher than cancerous tissue, with good statistical significance (p = 0.00216) while operating at 850 nm and 940 nm, respectively. The mean time of flight for cancerous tissue was 46 ns and 4 ns higher than the adjacent normal tissue while operating at 850 nm and 940 nm, respectively, with good statistical significance (p=0.00216) at 850 nm. The obtained results establish the proof-of-concept of the time-domain near-infrared spectroscopy for rapid diagnosis of core biopsy tissues.
Towards an Opto-Thermo-Acoustic (OTA) based Diagnostic Tool to Delineate Adjacent Normal from Cancerous Tissue for Cancer Margin Assessment
Uttam M. Pal, Arif Mohd Kamal, Ashika Nayak, Tejaswi Medisetti, Hardik J. Pandya
European Conferences on Biomedical Optics 2021.
We propose an optical, thermal, and acoustic (OTA) based portable and cost-effective diagnostic tool (updated Hybrid Spectral-IRDx) to delineate adjacent normal from cancerous tissue during cancer margin assessment to ensure cancer resection.
Opto-acoustic multimodal system to delineate adjacent normal from cancerous tissue to aid intraoperative breast cancer excisional surgery
Uttam M. Pal, Arif Mohd Kamal, Hardik J. Pandya
IEEE CONNECT 2021
— We propose a multimodal system combining the optical and ultrasound technique to characterize the bulk optical and acoustic breast biopsy tissue property. The bulk optical property consisting of optical absorption coefficient (µa) and reduced scattering coefficient (µ's), and acoustic attenuation coefficient (α) are quantified to delineate between adjacent normal and cancerous breast biopsy tissues. It is observed that the cancerous tissues exhibit a higher acoustic attenuation coefficient and optical reduced scattering coefficient compared to adjacent normal tissues, a basis for delineation between adjacent normal and cancerous tissues.