Abstract: Functional imaging for localization in biological tissue entails measuring a response in the tissue (240) to electromagnetic radiation. A catheter (200) for real-time monitoring of cardiac ablation is employed to distinguish a hemorrhage zone (232) from the sandwiching necrotic and healthy tissue, or to distinguish exogenous photoacoustic contrast agent from bordering native tissue. A pair of wavelengths is selected for differential absorption (244) of the radiation in, correspondingly, the hemorrhage zone or where the contrast agent exists, and relatively similar absorption elsewhere. Near infrared laser or LED light may be used photoacoustically to serially acquire (S310, S320) the two datasets to be compared, each representative of a time waveform. Alternatively, acquisition is for a pair of wavelength bands of microwave-induced thermoacoustic data.

Abstract: Functional imaging for localization in biological tissue entails measuring a response in the tissue (240) to electromagnetic radiation. A catheter (200) for real-time monitoring of cardiac ablation is employed to distinguish a hemorrhage zone (232) from the sandwiching necrotic and healthy tissue, or to distinguish exogenous photoacoustic contrast agent from bordering native tissue. A pair of wavelengths is selected for differential absorption (244) of the radiation in, correspondingly, the hemorrhage zone or where the contrast agent exists, and relatively similar absorption elsewhere. Near infrared laser or LED light may be used photoacoustically to serially acquire (S310, S320) the two datasets to be compared, each representative of a time waveform. Alternatively, acquisition is for a pair of wavelength bands of microwave-induced thermoacoustic data.

Abstract: A displacement estimation method is described that limits the exhaustive search for all points in a region of interest of a biological tissue by delivering the axial and lateral displacement maps in two phases. During the first phase, the method executes a limited search to determine axial and lateral displacement estimates for a plurality of locations on at least one axial reference line positioned in the ROI. Non-zero estimates form transition points along the axial reference line where one non-zero transition point value differs from another. During the second phase, the method laterally tracks each transition point throughout the ROI using block-matching algorithms or correlation methods. The displacement estimations identify a trajectory of the transition point through the ROI and form a displacement map. The plurality of transition point displacement maps are assembled as a complete displacement map. The resultant displacement map is used to form a tissue strain display.

Abstract: A computational efficient algorithm for compression analysis of free-hand static elasticity imaging performed using medical diagnostic ultrasound imaging equipment offers tissue compression quality and quantity feedback to the operator. The algorithm includes a criterion for automatic selection of the most advantageous pre- and post-compression frame pairs delivering elasticity images of optimal dynamic ranges (DR) and signal-to-noise ratios (SNR). The use of the algorithm in real time eases operator training and reduces significantly the amount of artifact in the elasticity images while lowering the computational burden.

Abstract: A computational efficient algorithm for compression analysis of free-hand static elasticity imaging performed using medical diagnostic ultrasound imaging equipment offers tissue compression quality and quantity feedback to the operator. The algorithm includes a criterion for automatic selection of the most advantageous pre- and post- compression frame pairs delivering elasticity images of optimal dynamic ranges (DR) and signal-to-noise ratios (SNR). The use of the algorithm in real time eases operator training and reduces significantly the amount of artifact in the elasticity images while lowering the computational burden.