Publications by authors named "C Chalopin"
Design and evaluation of an AR-based thermal imaging system for planning reconstructive surgeries.
Int J Comput Assist Radiol Surg
August 2024
Introduction: Thermal imaging can be used for the non-invasive detection of blood vessels of the skin. However, mapping the results to the patient currently lacks user-friendliness. Augmented reality may provide a useful tool to superimpose thermal information on the patient.
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- Multispectral imaging (MSI) is a non-invasive technique for real-time tissue perfusion measurement, currently limited by low resolution and frame rates in existing laparoscopic systems.
- A new laparoscopic system was developed featuring advanced light sources and image sensors, allowing for accurate monitoring of tissue oxygenation and hemoglobin levels during gastrointestinal surgery.
- Results showed minimal errors compared to reference systems, achieving high-resolution perfusion monitoring at 20 frames per second, with plans for further improvements and intraoperative validation.
Discrimination of human and animal bloodstains using hyperspectral imaging.
Forensic Sci Med Pathol
June 2024
Blood is the most encountered type of biological evidence in violent crimes and contains pertinent information to a forensic investigation. The false presumption that blood encountered at a crime scene is human may not be realised until after costly and sample-consuming tests are performed. To address the question of blood origin, the novel application of visible-near infrared hyperspectral imaging (HSI) is used for the detection and discrimination of human and animal bloodstains.
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- Recent studies demonstrate that hyperspectral imaging (HSI) paired with neural networks can effectively detect colorectal cancer, though post-processing techniques have been less examined compared to pre-processing methods.* -
- The research tested two pre-processing techniques (Standardization and Normalization) and evaluated two 3D convolutional neural network (CNN) models (Inception-based and RS-based), along with two median filter post-processing algorithms on data from 56 patients.* -
- Results show that Inception-based models outperformed RS-based models, especially with Normalization, and post-processing improved overall sensitivity and specificity by 6.6%, indicating that careful selection of pre- and post-processing methods enhances diagnostic performance.*
Background: Colon conduit is an alternative approach to reconstructing the alimentary tract after esophagectomy. Hyperspectral imaging (HSI) has been demonstrated to be effective for evaluating the perfusion of gastric conduits, but not colon conduits. This is the first study to describe this new tool addressing image-guided surgery and supporting esophageal surgeons to select the optimal colon segment for the conduit and anastomotic site intraoperatively.
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