Details

Autor(en) / Beteiligte

• Nunes, A.L.P.
• Maciel, A.
• Cavazzola, L.T.
• Walter, M.

Titel

A laparoscopy-based method for BRDF estimation from in vivo human liver

Ist Teil von

• Medical image analysis, 2017-01, Vol.35, p.620-632

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2017

Quelle

MEDLINE

Beschreibungen/Notizen

• •A method to estimate the BRDF of human organs using laparoscopic surgery.•Two laparoscopes are used to maximize the BRDF coverage.•For the first time, the BRDF of a liver is acquired in vivo. [Display omitted] While improved visual realism is known to enhance training effectiveness in virtual surgery simulators, the advances on realistic rendering for these simulators is slower than similar simulations for man-made scenes. One of the main reasons for this is that in vivo data is hard to gather and process. In this paper, we propose the analysis of videolaparoscopy data to compute the Bidirectional Reflectance Distribution Function (BRDF) of living organs as an input to physically based rendering algorithms. From the interplay between light and organic matter recorded in video images, we propose the definition of a process capable of establishing the BRDF for inside-the-body organic surfaces. We present a case study around the liver with patient-specific rendering under global illumination. Results show that despite the limited range of motion allowed within the body, the computed BRDF presents a high-coverage of the sampled regions and produces plausible renderings.