Parallel Visualisation Approach of a 3D Heart Model

Kanthasamy, K.; Rathinam, Alwin Kumar

doi:10.1109/cgiv.2008.40

Cited by 2 publications

(3 citation statements)

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“…Some areas which have already been explored by researchers include mandibular reconstruction [17], cranial surgery [18,19,20] spinal surgery [21] and orthopaedic surgery [22]. Its usage on the human heart, specifically on the myocardium, has just started a growing interest [12,23,24]. With the advent of 3D rapid prototyping apparatus which can print in multiple materials, new breakthroughs are needed to enhance the treatment process.…”

Section: A Medical Biomodelsmentioning

confidence: 99%

“…The author's initial effort was a fully mathematical model rendered using algorithms (Fig.1) [12]. This model albeit being useful as a computational research tool was not too appreciated by the surgeons.…”

Section: B Prior Cardiac Biomodelsmentioning

confidence: 99%

“…Early attempts by the first author include attempts to reconstruct mathematically the structures of the human heart [12] as depicted in Fig. 1.…”

Section: Biomodelingmentioning

confidence: 99%

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Normal and Fibrotic Cardiac Myocardium Tissue Identified and Reproduced in Anatomically Accurate 3D for Perioperative Usage

Rathinam

Sari

Mokhtar

2015

2015 6th International Conference on Intelligent Systems, Modelling and Simulation

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Peri-operative stage of a surgery is critical as information about the surgical processes must be clearly interpreted by surgeons. Medical teaching models are commonly used to explain to patients details about the procedure before the surgery. However these teaching models are generic, not patient specific and not anatomically accurate and also lack visual understanding of certain aspects of the diseased heart, such as fibrosis on the muscular tissues of the heart. A method in producing a patient specific and anatomically accurate rapid prototype biomodel of the heart is described. Magnetic Resonance Imaging (MRI) scans obtained from a patient with fibrotic myocardium were processed using algorithms and printed on a rapid prototyping apparatus to generate a physical three dimensional (3D) biomodel. A normal 3D cardiac biomodel was also generated from an healthy individual. These biomodels were opinionated positively in a surgical congress and effort is currently underway to create an automated process flow so that in future each patient can have their own biomodels prior to surgical treatment to aid surgeons in planning and discussion.

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