No abstract

Background: Acute coronary syndrome (ACS) refers to a spectrum of clinical presentations ranging from those for ST-segment elevation myocardial infarction (STEMI) to presentations found in non–ST-segment elevation myocardial infarction (NSTEMI) or unstable angina. Case presentation: We present a case of 36 years female who visited cardiac OPD with continuous left arm pain. She was then referred to nuclear cardiology for screening of CAD. Pharmacological stess study was planned but rest study was done instead due to patient having persistent pain in left arm. Rest study showed a large perfusion defect in LAD territory. As patient was not having any previous history of CAD except for positive family history of premature CAD. She was immediately referred to interventional cardiologist where her primary PCI to LAD (3xDES) got done and she was saved from impending myocardial infarction. Conclusion: Regular follow up and monitoring should be fine in young adults with positive family history of premature CAD. This may help in early detection leading to timely management and acute coronary events in young adults may be avoided. This will eventually reduce mortality and morbidity.

Single-photon emission computerised tomography (SPECT) and positron emission tomography (PET) are essential medical imaging tools, with inherent drawback of slow data acquisition process. We present a novel compressed sensing-based reconstruction of these images from significantly fewer measurements than traditionally required, thus demonstrating potential of reduction in scan time and radiopharmaceutical doze with benefits for patients and health care economics. Our work effectively shows that high fidelity two-dimensional (2D) SPECT/PET image is reconstructed using compressive sensing with considerably reduced numbers of samples in acquisition stage. The reconstruction of tomographic images is realised by compressed sensing the 2D Fourier projections of k-space data. These 2D projections being sparse in transform domain need fewer samples in k-space and are reconstructed without loss of fidelity. These undersampled Fourier projections can then be backprojected by employing the iterative reconstruction approach for a complete three-dimensional (3D) volume. Compressed sensing of a phantom image and PET bone scintigraphy with radial Fourier samples are performed. The reconstructions of these images are compared to conventionally sampled images using image quality measures like mean square error, peak signal-to-noise ratio and structure similarity (SSIM) index, showing high-quality image reconstruction.