Grant: Collaborative Research and Development Grants
University of Waterloo
$109,631.00
Design and Development of Devices and Procedures for Recognizing Artefacts and Foreign Tissue Origin for Diagnostic Pathology _x000d_ _x000d_ _x000d_ _x000d_
EF 2020-21
Résumé
Based on the Canadian Cancer Society (CCS) "Cancer is the leading cause of death in Canada and is responsible for 30% of all deaths." In addition, based on the 2010 CCS report: "49% of men and 45% of women are expected to develop cancer during their lifetime in Canada". Similar statistics can be observed around the world. Routine checkups, radiological exams, and different testing procedures (urine, blood etc.) are all used as parts of the diagnostic framework in any healthcare system. However, the biopsy is considered as the ultimate step required for the diagnosis of many types of cancer, if not of all. Biopsy samples are then analyzed by pathologists who use microscopes or digital scanners to examine the sample and write a diagnostic report. Hence, the accuracy of the cancer diagnosis is widely based on the devices, procedures and human knowledge in pathology laboratories. With the advent of digital pathology more and more experts are using scanners to acquire images from biopsy samples. Laboratory technicians have to manually and visually make sure that the biopsy samples are ready and free from debris and artefacts before placed in scanners. Developing a device to decrease the errors and processing time in one hand and increasing the accuracy of the pathology reports, on the other hand, is urgently needed. We at Kimia Lab at the University of Waterloo, in cooperation with Huron Digital Pathology (the only company in Canada which manufactures, sales and exports digital pathology machines) are planning to develop the first ever affordable device and software to detect a group of artefacts and errors such as floaters, bubbles, and markers. This project's benefits are not limited to the increase of the Canadian digital pathology brand sale by providing the first quality assistance tool in pathology, but also will reduce the time of providing a report as well as an increment in pathology report's accuracy. In some cases, it also can help to prevent repeated biopsies.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
536619-2018
Name nom
Tizhoosh, Hamid
Department département
Systems Design Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2018
Award amount
109631
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:2 - 2
Partie
1
Nb partie
2
Application title
Design and Development of Devices and Procedures for Recognizing Artefacts and Foreign Tissue Origin for Diagnostic Pathology _x000d_
_x000d_
_x000d_
_x000d_
Keyword
NSERC
Application summary
Based on the Canadian Cancer Society (CCS) "Cancer is the leading cause of death in Canada and is responsible for 30% of all deaths." In addition, based on the 2010 CCS report: "49% of men and 45% of women are expected to develop cancer during their lifetime in Canada". Similar statistics can be observed around the world. Routine checkups, radiological exams, and different testing procedures (urine, blood etc.) are all used as parts of the diagnostic framework in any healthcare system. However, the biopsy is considered as the ultimate step required for the diagnosis of many types of cancer, if not of all. Biopsy samples are then analyzed by pathologists who use microscopes or digital scanners to examine the sample and write a diagnostic report. Hence, the accuracy of the cancer diagnosis is widely based on the devices, procedures and human knowledge in pathology laboratories. With the advent of digital pathology more and more experts are using scanners to acquire images from biopsy samples. Laboratory technicians have to manually and visually make sure that the biopsy samples are ready and free from debris and artefacts before placed in scanners. Developing a device to decrease the errors and processing time in one hand and increasing the accuracy of the pathology reports, on the other hand, is urgently needed. We at Kimia Lab at the University of Waterloo, in cooperation with Huron Digital Pathology (the only company in Canada which manufactures, sales and exports digital pathology machines) are planning to develop the first ever affordable device and software to detect a group of artefacts and errors such as floaters, bubbles, and markers. This project's benefits are not limited to the increase of the Canadian digital pathology brand sale by providing the first quality assistance tool in pathology, but also will reduce the time of providing a report as well as an increment in pathology report's accuracy. In some cases, it also can help to prevent repeated biopsies.
