Pics by: Joshwa D'souza

Daijiworld Media Network-Mangaluru (JD)

Mangaluru, May 27: Keshavananda Bharathi Seer of Yedaneeru Math , Kasargod inaugurated PET CT-scan at AJ hospital, oncology center on Friday, May 27.

Speaking on the occasion the seer said "This center has been specially set to treat the cancer patients. Let the patients be cured and may they go home happy. May God provide good health to A J Shetty and all the people associated with the hospital."

MP Nalin Kumar Kateel, Managing director of AJ institutions A J Shetty, Medical director Dr Prashanth Maarla, Hospital medical administration director Dr Amitha Maarla, directors Sharada J Shetty, Prashanth Shetty and others were present at the occasion.

The newly installed PET CT scan has the capacity to detect cancer mutation at the budding stage even before the primary symptoms are seen in the body.

Salient features of the PET CT installed at A J Cancer Institute

SIEMENS Biograph mCT 20 Excel, a powerful molecular CT within reach to all: This state-of-the-art tool will aid in detecting disease early, characterizing disease more accurately as well as improving therapy planning and monitoring. The ability to detect disease sooner and to accurately monitor disease progression is a major focus in PET/CT imaging. These requirements demand high image quality to see small details in any organ, with quantitative accuracy. This PET/CT exhibits exceptional image quality throughout the entire field of view giving clinicians the diagnostic confidence to make sound clinical decisions.

The Biograph mCT 20 Excel is a whole-body PET/CT tomography designed for the purpose of oncological, neurological and cardiac imaging and diagnosis. With a single non-invasive procedure, the Biograph produces remarkable CT and PET•CT images that reveal highly-detailed anatomy and biological processes at the molecular level.

Time of Flight: TOF measures the actual time difference between the detection of each coincidence photon. This additional timing information is used to better localize the event within a small range along each line of response (LOR). The better localization of each event using TOF reduces noise in the reconstructed image.