Ultrasound imaging for assessing functions of the GI tract

Steinsvik, Elisabeth Kjelsvik; Hatlebakk, Jan Gunnar; Hausken, Trygve; Nylund, Kim; Gilja, Odd Helge

doi:10.1088/1361-6579/abdad7

Cited by 10 publications

(4 citation statements)

References 154 publications

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“…US images were acquired using a clinical US system (Telemed ArtUs EXT-1H) with a linear array transducer (L15-7H40-A5), operating in wideview (trapezoidal) B-mode imaging mode. Before data collection, the imaging depth and frequency of the US system were set at 60-80 mm and 7.5 MHz, respectively, which are appropriate settings in clinical abdominal US imaging 38 . Other imaging parameters including the focus, power & gain, and dynamic range were manually adjusted each time to obtain satisfactory contrast.…”

Section: Methodsmentioning

confidence: 99%

Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning

Liu

Esser

Wagstaff

et al. 2022

Sci Rep

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Ingestible robotic capsules with locomotion capabilities and on-board sampling mechanism have great potential for non-invasive diagnostic and interventional use in the gastrointestinal tract. Real-time tracking of capsule location and operational state is necessary for clinical application, yet remains a significant challenge. To this end, we propose an approach that can simultaneously determine the mechanism state and in-plane 2D pose of millimeter capsule robots in an anatomically representative environment using ultrasound imaging. Our work proposes an attention-based hierarchical deep learning approach and adapts the success of transfer learning towards solving the multi-task tracking problem with limited dataset. To train the neural networks, we generate a representative dataset of a robotic capsule within ex-vivo porcine stomachs. Experimental results show that the accuracy of capsule state classification is 97%, and the mean estimation errors for orientation and centroid position are 2.0 degrees and 0.24 mm (1.7% of the capsule’s body length) on the hold-out test set. Accurate detection of the capsule while manipulated by an external magnet in a porcine stomach and colon is also demonstrated. The results suggest our proposed method has the potential for advancing the wireless capsule-based technologies by providing accurate detection of capsule robots in clinical scenarios.

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Section: Methodsmentioning

confidence: 99%

Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning

Liu

Esser

Wagstaff

et al. 2022

Sci Rep

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“…In parallel with its increased utility in conditions such as inflammatory bowel disease, GI ultrasonography, using advanced ultrasound probes, has shown utility in the assessment of flow through segments of the bowel (44) as well as the stomach (eg, in gastroparesis) (45). The use of endoscopic ultrasound may also provide information on esophageal motility in conditions such as eosinophilic esophagitis (46).…”

Section: Less Invasive Investigative Toolsmentioning

confidence: 99%

Pediatric Neurogastroenterology and Motility: Moving Rapidly Into the Future

Chanpong

Thapar

2023

Journal of Pediatric Gastroenterology &Amp; Nutrition

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The field of pediatric neurogastroenterology and motility encompasses some of the most common and severe gastrointestinal (GI) disorders that affect children. GI motility disorders remain, in general, poorly understood, variably diagnosed, and inadequately treated. Although the field progressed relatively slowly over the last decades, the coming years will, no doubt, see it move into a prolific and dynamic era. With this review, we look forward to this brighter future for the field and highlight emerging areas that show promise and deserve focus in the coming years. This includes the role of early life programming and insult of the enteric neuromusculature as a key determinant of motility diseases and factors that are likely to be relevant in disease etiopathogenesis. We discuss several recent and futuristic developments and advancements in investigative and diagnostic tools as well as novel approaches that have been introduced in the management of GI motility disorders. These include targeted and personalized medicine in both pharmacological and multidisciplinary approaches as well as the emerging therapeutic options such as bioelectrical neuromodulation and regenerative medicine.

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“…Fifty percent of noncaloric liquids are emptied in 10 min, while 50% of low‐caloric liquids are emptied in 1 h and 50% of high‐caloric liquids are emptied in 2 h (Goyal et al., 2019). In the clinical assessment of gastric emptying using scintigraphy, gastric retention of >10% of the radiolabeled meal 4 h after ingestion or > 60% after 2 h is considered pathological (Steinsvik et al., 2021). Proper coordination of gastric motor functions is required for healthy gastric emptying.…”

Section: Characteristics Of the Gastric And Small Intestinal Motilitymentioning

confidence: 99%

Simulating human gastrointestinal motility in dynamic in vitro models

Kong

2022

Comp Rev Food Sci Food Safe

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The application of dynamic in vitro gastrointestinal (GI) models has grown in popularity to understand the impact of food structure and composition on human health. Given that GI motility is integral to digestion and absorption, a predictive in vitro model should faithfully replicate the motility patterns and motor functions in vivo. In this review, typical characteristics of gastric and small intestinal motility in humans as well as the biomechanical and hydrodynamic events pertinent to gut motility are summarized. The simulation of GI motility in the presently existing dynamic in vitro models is discussed from an engineering perspective and categorized into hydraulic, piston/probe‐driven, roller‐driven, pneumatic, and other systems. Each system and its representative models are evaluated in terms of their motility patterns, the key hydrodynamic characteristics concerning gut motility, their performance in simulating the key physiological events, and their ability to establish in vitro–in vivo correlations. Practical Application: The review paper provided useful information in the design of dynamic GI models and the simulation of human gastric and small intestinal motility which are important for understanding food and health.

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Ultrasound imaging for assessing functions of the GI tract

Cited by 10 publications

References 154 publications

Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning

Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning

Pediatric Neurogastroenterology and Motility: Moving Rapidly Into the Future

Simulating human gastrointestinal motility in dynamic in vitro models

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