Canon Medical Systems India signs MoU with Rajiv Gandhi Cancer Institute for advanced cancer diagnostics – Express Healthcare

Canon Medical Systems India announced the signing of a Memorandum of Understanding (MoU) with Rajiv Gandhi Cancer Institute & Research Centre. Under the agreement, the Institute will use Canon’s 640-slice CT system, Aquilion ONE / INSIGHT Edition, for research on advanced cancer diagnostics.

According to Canon Medical, this collaboration reflects its commitment to healthcare through innovation aligned with its ‘Made for Life’ philosophy. The Aquilion ONE / INSIGHT Edition integrates CT imaging technology with wide-area (16-cm) coverage and deep learning-based AI to support diagnostic capabilities.

Koh Yamada, President and CEO of Canon Medical Systems India, said, “At Canon, we are committed to improving patient care through innovative technology based on the ‘Made for Life’ philosophy. We are very honoured to be contributing to support healthcare in India with this great opportunity given by Rajiv Gandhi Cancer Institute & Research Centre.”

Dr Sudhir Rawal, Medical Director & Director Surgical Oncology of Rajiv Gandhi Cancer Institute & Research Centre, said, “As a top cancer research centre we continuously invest in cutting edge technology and we look forward to use this collaboration to advance the cancer care paradigm in India.”

Dr Sunil Kumar Puri, Director, Radiology & Interventional Oncology of Rajiv Gandhi Cancer Institute & Research Centre, added, “We are pleased and excited to be first center in India to work with this new system and we trust this innovative system will bring significant contributions for cancer diagnosis and improving our diagnostic confidence in the results.”

The Aquilion ONE / INSIGHT Edition is designed to expand CT capabilities through AI integration on a wide-area (16-cm) CT platform, maximising both conventional and spectral CT functions. It includes technologies such as Precise IQ Engine (PIQE), Advanced intelligent Clear-IQ Engine (AiCE), SilverBeam, and INSTINX.

PIQE, a deep learning AI technology, produces sharper images for detailed delineation of small anatomical structures, with the 1024 matrix enabling images to be enlarged up to four times compared to a 512 image without resolution loss. AiCE combined with SilverBeam Filter technology delivers chest CT scans for lung cancer screening at reduced radiation doses.

With AI-assisted workflow support from the INSTINX platform, including automatic scan planning and anatomical landmark detection, the system is designed to make high-quality scanning more efficient and accessible.

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