Cyst detection on bovine kidneys with a commercial smart imaging system

Stephen D. Cork; Alex Heater; Bushra Aljbawi; Tim Stork; Lihong Zheng; Jane Quinn

Abstract

Meat processing plants are using computer imaging for quality assurance of meat products and foreign material detection
at line speed [1]. Multiple imaging systems, including x-ray, visual and hyperspectral systems can be used to interrogate
different aspects of product quality or composition. As an example, hyperspectral cameras can identify numerous visual
and chemical tissue characteristics to a pixel resolution down to 2mm [2]. However, imaging systems are not widely used
in antemortem inspection [3]. The digitization of carcass and offal health may enable higher confidence through traceable
and objective defect assessments [4].
Kidney cysts are the second most common disease disposition leading to bovine kidney tissue condemnation in abattoir.
Kidney cysts occur at rates up to 5% of carcasses [5]. Cysts are fluid filled voids that result in tissue condemnation. To
attenuate defect detection, we investigated the use of a commercially available hyperspectral imaging system, with
machine learning based model, to detect cysts efficiently in bovine kidney tissue.

Original language	English
Pages	318-319
Number of pages	2
Publication status	Published - 2025
Event	71st International Congress of Meat Science and Technology: ICoMST 2025 - Auditori Palau de Congressos, Girona, Spain Duration: 03 Aug 2025 → 08 Aug 2025 Conference number: 71 https://www.icomst2025.com/ https://www.icomst2025.com/V5_ICoMST_2025%20-%20Abstract%20Bookv1_mff_copia.pdf (Proceedings)

Conference

Conference	71st International Congress of Meat Science and Technology
Abbreviated title	Real meat, real care
Country/Territory	Spain
City	Girona
Period	03/08/25 → 08/08/25
Other	Abstract book attached to PID 608501331 We are pleased to welcome you to the 71st International Congress of Meat Science and Technology (ICoMST), which will be held at the Auditori Palau de Congressos of Girona (Spain) from 3rd to 8th August 2025. The city of Girona and its surroundings have plenty of places of natural, historical and cultural interest that will delight visitors. They will also be able to enjoy the country's rich and varied gastronomic tradition. The last time ICoMST was held in our country was in 1998, when Barcelona hosted the congress. ICoMST is the leading international congress in the field of Meat Science and Technology, held annually with over 600 participants from more than 30 countries. ICoMST is also a great opportunity for researchers and companies in the meat supply chain to discuss and exchange information and ideas on topics that are of interest to them, create networks and gain an enriching professional experience. This forum fosters the generation of new ideas, the acquisition of knowledge and opportunities for collaboration. The exciting scientific programme is complemented by a social programme that will provide you with an unforgettable experience combining visits to emblematic sites, tasting of local gastronomy and technical insights into local industry. Non-delegates will also have the opportunity to explore and enjoy the region. On behalf of the Organizing Committee, we look forward to welcoming you at the Auditori Palau de Congressos of Girona between the 3rd and 8th August of August 2025.
Internet address	https://www.icomst2025.com/ https://www.icomst2025.com/V5_ICoMST_2025%20-%20Abstract%20Bookv1_mff_copia.pdf (Proceedings)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 3 Good Health and Well-being
SDG 15 Life on Land

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Stephen Cork - Kidney Cyst automated detection - Gulbali poster A0 portrait

Cite this

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title = "Cyst detection on bovine kidneys with a commercial smart imaging system",

abstract = "Meat processing plants are using computer imaging for quality assurance of meat products and foreign material detection at line speed [1]. Multiple imaging systems, including x-ray, visual and hyperspectral systems can be used to interrogate different aspects of product quality or composition. As an example, hyperspectral cameras can identify numerous visual and chemical tissue characteristics to a pixel resolution down to 2mm [2]. However, imaging systems are not widely used in antemortem inspection [3]. The digitization of carcass and offal health may enable higher confidence through traceable and objective defect assessments [4]. Kidney cysts are the second most common disease disposition leading to bovine kidney tissue condemnation in abattoir. Kidney cysts occur at rates up to 5\% of carcasses [5]. Cysts are fluid filled voids that result in tissue condemnation. To attenuate defect detection, we investigated the use of a commercially available hyperspectral imaging system, with machine learning based model, to detect cysts efficiently in bovine kidney tissue. ",

author = "Cork, \{Stephen D.\} and Alex Heater and Bushra Aljbawi and Tim Stork and Lihong Zheng and Jane Quinn",

year = "2025",

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T1 - Cyst detection on bovine kidneys with a commercial smart imaging system

AU - Cork, Stephen D.

AU - Heater, Alex

AU - Aljbawi, Bushra

AU - Stork, Tim

AU - Zheng, Lihong

AU - Quinn, Jane

N1 - Conference code: 71

PY - 2025

Y1 - 2025

N2 - Meat processing plants are using computer imaging for quality assurance of meat products and foreign material detection at line speed [1]. Multiple imaging systems, including x-ray, visual and hyperspectral systems can be used to interrogate different aspects of product quality or composition. As an example, hyperspectral cameras can identify numerous visual and chemical tissue characteristics to a pixel resolution down to 2mm [2]. However, imaging systems are not widely used in antemortem inspection [3]. The digitization of carcass and offal health may enable higher confidence through traceable and objective defect assessments [4]. Kidney cysts are the second most common disease disposition leading to bovine kidney tissue condemnation in abattoir. Kidney cysts occur at rates up to 5% of carcasses [5]. Cysts are fluid filled voids that result in tissue condemnation. To attenuate defect detection, we investigated the use of a commercially available hyperspectral imaging system, with machine learning based model, to detect cysts efficiently in bovine kidney tissue.

AB - Meat processing plants are using computer imaging for quality assurance of meat products and foreign material detection at line speed [1]. Multiple imaging systems, including x-ray, visual and hyperspectral systems can be used to interrogate different aspects of product quality or composition. As an example, hyperspectral cameras can identify numerous visual and chemical tissue characteristics to a pixel resolution down to 2mm [2]. However, imaging systems are not widely used in antemortem inspection [3]. The digitization of carcass and offal health may enable higher confidence through traceable and objective defect assessments [4]. Kidney cysts are the second most common disease disposition leading to bovine kidney tissue condemnation in abattoir. Kidney cysts occur at rates up to 5% of carcasses [5]. Cysts are fluid filled voids that result in tissue condemnation. To attenuate defect detection, we investigated the use of a commercially available hyperspectral imaging system, with machine learning based model, to detect cysts efficiently in bovine kidney tissue.

UR - https://digicomst.ie/2o25/

M3 - Abstract

SP - 318

EP - 319

T2 - 71st International Congress of Meat Science and Technology

Y2 - 3 August 2025 through 8 August 2025

ER -

Cyst detection on bovine kidneys with a commercial smart imaging system

Abstract

Conference

UN SDGs

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