Aesthetically pleasing and symmetrical breasts are the goal of reconstructive breast surgery. Sometimes, however, multiple procedures are needed to improve a reconstructed breastʼs symmetry and appearance. In order to avoid additionalcorrective procedures, we have developed a new method that uses a reverse engineering technique to produce what we call a new breast replica cast (NBRC). The NBRC is a mould of the contralateral healthy breast, designedaccording to preoperative laser 3D images. During surgery, the mould is used to help shape the new breast. With this method, we are able to achievebreast symmetry in terms of volume, projection, contour, and position on the chest wall more accurately, more quickly, and more safely than before.
COBISS.SI-ID: 415916
We present a novel method for real-time 3-D body-shape measurement during breathing based on the laser multiple-line triangulation principle. The laser projector illuminates the measured surface with a pattern of 33 equally inclined light planes. Simultaneously, the camera records the distorted light pattern from a different viewpoint. The acquired images are transferred to a personal computer, where the 3-D surface reconstruction, shape analysis, and display are performed in real time. The measured surface displacements are displayed with a color palette, which enables visual feedback to the patient while breathing is being taught. The measuring range is approximately 400 x 600 x 500 mm in width, height, and depth, respectively, and the accuracy of the calibrated apparatus is Ł0.7 mm. The system was evaluated by means of its capability to distinguish between different breathing patterns. The accuracy of the measured volumes of chest-wall deformation during breathing was verified using standard methods of volume measurements. The results show that the presented 3-D measuring system with visual feedback has great potential as a diagnostic and training assistance tool when monitoring and evaluating the breathing pattern, because it offers a simple and effective method of graphical communication with the patient.
COBISS.SI-ID: 12258075
CONTEXT: Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) are the most common neurodegenerative dementia types. It is important to differentiatebetween them because of the differences in prognosis and treatment approaches. OBJECTIVE: Investigate if sparse partial least squares (SPLS) classification of cortical thickness measurements could differentiate between AD and DLB. METHODS: Two independent cohorts without MR-protocol alignment in Norway and Slovenia with 97 AD and DLB subjects were enrolled. Cortical thickness measurements acquired with Freesurfer were used in subsequent SPLS classification runs. The cohorts were analyzed separately and afterwards combined. The models were trained with leave-one-out cross validation and test datasets where used when available. To study the impact ofMR-protocol alignment, the classifiers were additionally tested on sets drawn exclusively from the independent cohorts. RESULTS: The obtained sensitivity/specificity/AUC values were 94.4/88.89/0.978 and 88.2/94.1/0.969 in the Norwegian and Slovenian cohorts, respectively. Both cohorts showed AD-associated pattern of thinning in mid-anterior temporal, occipital and subgenual cingulate cortex, whereas the pattern supportive for DLB included thinning in dorsal cingulate, posterior temporal and lateral orbitofrontal regions. When combining the cohorts, sensitivity/specificity/AUC were 82.1/85.7/0.948 for the training and 77.8/75/0.731 for the testing datasets with the same pattern-of-difference. The models tested on datasets drawn exclusively from the independent cohorts did not produce adequate accuracy. CONCLUSION: SPLS classification of cortical thickness is a good method for differentiating between AD and DLB, relatively stable even for mixed data, butnot when tested on completely independent data drawn from different cohorts(without MR-protocol alignment).
COBISS.SI-ID: 624812