In this paper, a computer-based prototype device was designed based on an economical noninvasive system that could detect and display the relative skin temperature variations present in human patients suffering from thyroid disorders. Such a system could be used to augment the normal procedures followed by the physician in diagnosing the thyroid to detect areas of hyperactivity within the gland. Because a hyperactive nodule is a center of increased blood flow and chemical activity, it might be also a center of heat production that is detectable by thermal sensing. This paper also presents a finite-element analysis (FEA) of a hot thyroid nodule that is used for investigating the temperature distribution in conjunction with the prototype. The instrumentation model built was based on actual dimensional human model for thyroid nodules obtained from various patients. A software program was written in Visual Basic to detect the temperature distribution around the hot spot. The software also incorporates means to minimize the thermal noise associated with the body temperature. The FEA utilizes the same boundary values used in the practical settings. This includes initial values of temperatures for the hot spot and its surroundings. The results of the finite-element simulation assisted in the selection of the solid state sensors that were used in the instrumentation of the thermographic system. The selected sensors were calibrated for their functionality and dynamic performance according to the specifications. The new noninvasive diagnostic technique was applied to patients having Graves' diseases at the Indiana University (IU) Hospital, and compared with the existing scheme that utilizes I Scan. The results of the new diagnostic method were in good agreement with the current existing method.

Implementing an integrated care model did not occur as intended. Experienced CNSs often did not see the need for treatment in many primary care patients identified by the PRIME-MD. Integrating integrated care models in actual practice may prove challenging.

We have demonstrated a successful computer model utilizing ANSIS software that is verified with a practical model using Infrared (IR) sensors. The simulation model incorporates the three heat transfer coefficients: conduction, convection, and radiation. While the conduction component was a major contributor to the simulation model, the other two coefficients have added to the accuracy and precision of the model. Convection heat allows for the influence of blood flow within the study, while the radiation aspect, sensed through IR sensors, links the practical model of the study. This study also compares simulation data with the applied model generated from IR probe sensors. These sensors formed an IR scanner that moved via servo mechanical system, tracking the temperature distribution within and around the thyroid gland. These data were analyzed and processed to produce a thermal image of the thyroid gland. The acquired data were then compared with an Iodine uptake scan for the same patients.

The existing modalities of bone diagnosis including X-ray and ultrasound may cite drawback in some cases related to health issues and penetration depth, while the ultrasound modality may lack image quality. Photo acoustic approach however, provides light energy to the acoustic wave, enabling it to activate and respond according to the propagating media (which is type of bones in this case). At the same time, a differential temperature change may result in the bio heat response, resulting from the heat absorbed across the multiple materials under study. In this work, we have demonstrated the features of using photo acoustic modality in order to non-invasively diagnose the type of human bones based on their electrical, thermal, and acoustic properties that differentiate the output response of each type. COMSOL software was utilized to combine both acoustic equations and bio heat equations, in order to study both the thermal and acoustic responses through which the differential diagnosis can be obtained. In this study, we solved both the acoustic equation and bio heat equations for four types of bones, bone (cancellous), bone (cortical), bone marrow (red), and bone marrow (yellow). 1 MHz acoustic source frequency was chosen and 10(5) W/m(2) power source was used in the simulation. The simulation tested the dynamic response of the wave over a distance of 5 cm from each side for the source. Near 2.4 cm was detected from simulation from each side of the source with a temperature change of within 0.5 K for various types of bones, citing a promising technique for a practical model to detect the type of bones via the differential temperature as well as the acoustic was response via the multiple materials associated with the human bones (skin and blood). The simulation results suggest that the PA technique may be applied to non-invasive diagnosis for the different types of bones, including cancerous bones. A practical model for detecting both the temperature change via IR sensors, and acoustic wave signals may be detected via sensitive pressure transducer, which is reserved for future realization.