Ms. Raisa B. Rasul Profile

Raisa B. Rasul

Graduate student

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Publications (2)

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Proceedings Article | 3 April 2023 Presentation + Paper

Automated coronary artery calcium segmentation in cardiac CT using combined probability map and feature analysis: a preliminary report

Raisa Rasul, Morteza Naghavi, Matthew Budoff, Anthony Reeves

Proceedings Volume 12464, 124640C (2023) https://doi.org/10.1117/12.2652999

KEYWORDS: Arteries, Calcium, Heart, Image segmentation, Computed tomography, Myocardium, Liver, Random forests, Lung

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Coronary artery calcium (CAC) scoring has been adopted in US national guidelines as a diagnostic tool for risk assessment of asymptomatic individuals at risk of atherosclerotic cardiovascular disease which is the leading cause of death worldwide. To enable fast and accurate CAC scoring, we present a fully automated CAC scoring system for noncontract ECG-gated cardiac CT scans. First, an anatomical model was developed for segmenting important structures in the heart region, including ascending and descending aortas as well as the myocardium, to limit the CAC search region. A novel trained probability map was developed and used for localizing and labeling the candidate calcified plaques based on coronary artery groups, including left main and left anterior descending artery (LMD), left circumflex artery (LCX), and right coronary artery (RCA). Finally, location, size and intensity features of each CAC candidate were used to remove false CAC candidates. This method was trained on 88 scans and tested on 559 scans from the Multi-Ethnic Study of Atherosclerosis (MESA) dataset. The combination of these methods yielded a Pearson correlation of 0.98, an average Dice score of 0.85, and a risk-category accuracy of 0.87. The artery specific detection precision, based on the probability map labelling, was 0.876 for LMD, 0.830 for LCX and 0.997 for RCA. These results indicate the potential of an automated CAC scoring system for easier and improved screening in cardiac CT scans, and a novel method for CAC labelling.

Proceedings Article | 7 February 2018 Presentation + Paper

Intravital imaging of tumor bioenergetics in metastatic and non-metastatic breast cancer

Raisa Rasul, Mason Harper, Narasimhan Rajaram

Proceedings Volume 10472, 104720E (2018) https://doi.org/10.1117/12.2289621

KEYWORDS: Tumors, Cancer, Breast cancer, Glucose, In vivo imaging, Oxygen, Hypoxia, In vitro testing

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Early detection of metastatic cancer can reduce patient mortality and decrease cost of cancer treatment. However, current methods of prognosis or genetic screening are expensive and might not be applicable to all tumors. Although previous studies indicated that cancer cells are glycolytic, the link between metabolism and metastatic progression is not fully understood. To better understand the tumor bioenergetics, we investigated in vivo the vascular oxygenation, glucose intake, and optical redox ratio between a metastatic breast cancer cell line (4T1), a non-metastatic isogenic cell line (168FARN), and a non-metastatic derivative of 4T1 (TWIST gene knockout). The vascular oxygenation was measured by injecting 10,000 cells into mouse dorsal window chambers and acquiring and processing trans-illumination images of the tumor from 520 nm-620 nm light wavelength in 10 nm intervals. Glucose intake was measured by continuous fluorescent imaging of the glucose analog, 2-NBDG, for 90 minutes. Optical redox ratio was measured by intrinsic fluorescence imaging of electron carrying intermediates, NADH and FAD, where an increase in the ratio (FAD/FAD+NADH) meant increased oxidative phosphorylation. Our data show that the optical redox ratio and vascular oxygenation are higher and glucose intake is lower in metastatic tumors compared to non-metastatic tumors, suggesting that metastatic tumors display decreased glycolysis and increased oxidative phosphorylation. We observed a similar trend in vitro, where the redox ratio increased as the cell metastatic potential increased, indicating that metastatic cells can efficiently produce energy. These findings indicate that optical redox ratio can be a potential prognosis tool for detecting malignant tumors.

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